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Grupo UMA, a leading motorcycle assembler and distributor, is accelerating manufacturing growth across Colombia and Central America with 麻豆原创 Cloud ERP Private.

Operating in multiple countries and serving thousands of riders every month, the company needed standardized, automated, and data鈥慸riven processes to support expansion while maintaining quality and customer experience. By implementing 麻豆原创 Cloud ERP Private, Grupo UMA streamlined core business processes across finance, production, and logistics, replacing manual work with real鈥憈ime insights and end鈥憈o鈥慹nd process integration. Global operating models, automated workflows, and transparent cost visibility now enable faster decision鈥憁aking and scalable growth across the region. The impact: production increased from approximately 11,000 to 17,000 motorcycles per month, with a clear path to 20,000. Across markets including Guatemala, El Salvador, Costa Rica, Honduras, Nicaragua, and Colombia, Grupo UMA is improving supply chain efficiency, optimizing production capacity, and delivering consistent quality with solutions such as 麻豆原创 Extended Warehouse Management (麻豆原创 EWM). Beyond operations, teams are shifting from manual, operational work to a more strategic, innovation鈥慸riven, and analytics鈥慺ocused approach鈥攈elping the organization evolve into a truly data鈥慸riven enterprise.

Discover how 麻豆原创 helps manufacturers in Latin America scale faster, operate smarter, and deliver better customer experiences with cloud ERP and read the full customer story on the 麻豆原创 News Center.

鈥淓very motorcycle we sell comes with an experience,鈥� he explains. 鈥淐ustomers come back to us for service, for spare parts, and for workshop support, so we truly connect each customer to a different kind of user experience, starting from the moment of purchase.鈥�

Many people in Colombia get around every day on motorcycles鈥攐ften on 鈥楤oxer鈥� motorcycles made by UMA, which aims to ensure riders feel safe on the road, Urrea Ospina says. To help achieve that, UMA has implemented rigorous quality processes that run on . 鈥淓very motorcycle leaving our factories follows best quality practices,鈥� he says. 鈥淎nd we pass that value onto our customers.鈥�

In addition to Colombia, UMA operates in five countries in Central America: Guatemala, El Salvador, Costa Rica, Honduras, and Nicaragua. 鈥淲e鈥檙e also in Venezuela, as well as Spain and Portugal,鈥� Urrea Ospina says. 鈥淎cross all these regions, we aim to make a positive impact on our customers with each of our brands and motorcycles.鈥�

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鈥淔or us, our 鈥楢dventure鈥� project鈥攖he name we gave the 麻豆原创 project鈥攚as crucial to our expansion and growth,鈥� he says. 鈥淲e needed global models so we could expand faster and run more efficient, automated operations.鈥�

Working with 麻豆原创, UMA established global models and automated operations across finance, production, and logistics, says Victor Bedoya Aristizabal, corporate solutions manager at Grupo UMA. 鈥淲e defined global models, starting in finance with global charts of accounts that let us analyze information and make financial decisions much more efficiently. From there, we extended the approach through production and plant operations and into logistics.鈥�

鈥淭oday, 麻豆原创 is a fundamental pillar for our processes from the start of the value chain to the end,鈥� Bedoya Aristizabal says. 鈥淲e utilize the full suite for production, pricing, finance, and warehouse management to deliver a superior product.鈥�

鈥淭aken together, these cross-cutting global modules have helped us evolve, save time, shorten implementations, and expand across regions,鈥� Urrea Ospina says. 鈥淔or example, in Colombia we鈥檙e implementing our spare parts warehouse with 麻豆原创 Extended Warehouse Management, 麻豆原创鈥檚 supply chain management application. What we鈥檙e learning in Colombia can be replicated in Central America. Standardizing these logistics modules makes operations much more efficient while still accounting for each country鈥檚 specific needs.鈥�

He adds: 鈥淚 believe that if we hadn鈥檛 prepared with 麻豆原创 and the technologies we have today, the strong growth we鈥檝e had in Colombia would have been far more difficult. For example, we went from assembling 11,000 motorcycles in January of last year to around 17,000 motorcycles per month today鈥攏early doubling our output. Without 麻豆原创鈥檚 well-defined structures, process controls, and automations that replaced a lot of manual work, it would be much harder to reach the 20,000 motorcycles per month we expect to achieve soon.鈥�

鈥淭hat ability to scale鈥攂oth assembly volume and sales volume鈥攈as been driven by the Adventure project and everything we implemented with 麻豆原创,鈥� he says. 鈥淚 think it has significantly improved employees鈥� day-to-day work. And that鈥檚 where we need to take the organization: toward a data-driven company that makes better decisions. Before we implemented Adventure, a person鈥檚 day-to-day was mostly operational work.鈥�

Urrea Ospina emphasizes that one of the main motivations UMA had for adopting 麻豆原创 Cloud ERP Private was to have concrete, real-time information鈥攆or example, knowing exactly the assembly cost of a motorcycle. 鈥淭hat is key for an organization,鈥� he says. 鈥淏eyond that, another need was to remove the manual work that all the company鈥檚 areas had, working and operating completely by hand.鈥�

Luis Orrego, production supervisor at Grupo UMA, agrees: 鈥淚nstead of having many Excel files open with multiple sheets and trying to reconcile everything, we now consolidate the data in one place. With 麻豆原创, all the sheets and reports I used to present are now available in a single view. I don鈥檛 have to run multiple steps, and I can see all my indicators: capacity, materials, and line resources.鈥�

Another motivation was UMA鈥檚 expansion plans to enter other regions and countries efficiently. 鈥淲e wanted defined global models that we could replicate quickly with 麻豆原创 in the regions where we operate,鈥� Urrea Ospina explains. 鈥淭hose factors led us to undertake the 麻豆原创 project, which has been a highly strategic and very successful initiative.鈥�

Implementing 麻豆原创 Cloud ERP Private has also had a profound impact on Urrea Ospina鈥檚 technology team. 鈥淚t completely changed our roles and what we focused on,鈥� he says. “We used to be a technology team focused on operations, not one that added value. Today, the technology team plays a strategic role. We have time to analyze where we鈥檙e going and what we can implement next for the business. Culturally, 麻豆原创 gave us confidence through information traceability, and it also gave us time to think. It opened the door to innovation鈥攅specially around analytics.鈥�

David Aguirre is a media production specialist on the Multimedia Team for 麻豆原创 News.
Rana Hamzakadi is deputy head of the Multimedia Team for 麻豆原创 News.

Workforce scarcity impacting global logistics operations, logistics corridors becoming tools in geopolitical conflicts, and continuously rising transportation costs all point to the same reality:聽Future-proofing logistics is no longer a strategic choice, but the critical tipping point that separates those who will rise from those who will fall in an increasingly unforgiving global economy.

Modernizing logistics is no longer about 鈥渋f鈥� but how fast and how far

Traditional logistics systems were designed primarily for efficiency. Today鈥檚 supply chains, however, are more complex and exposed to even more risk, requiring resilience, agility, and smarter decision鈥憁aking across warehousing and transportation operations.

麻豆原创ure is constant and from multiple directions, including geopolitical tensions, economic volatility, stringent government regulations, and rising customer expectations. The core challenge is no longer reacting to individual disruptions but overcoming constant firefighting. Leaders are seeking a clear path toward a more agile and future鈥憆eady logistics strategy. Two questions sit at the center of this challenge:聽How fast do logistics operations have to change? And how complex are the operations that must be supported?

Answering these questions starts with examining the technological foundations that power your current logistics operations. Long-standing solutions鈥攕uch as 麻豆原创 ERP Central Component modules for logistics execution – warehouse management (LE-WM) and logistics execution – transportation (LE-TRA) as well as 麻豆原创 Extended Warehouse Management and 麻豆原创 Transportation Management鈥攈ave served reliably for decades, yet 麻豆原创 continues to evolve to serve today’s demands for real-time adaptability and scale.

麻豆原创鈥檚 logistics portfolio has supported customers across three decades and continues to evolve with adaptive, cloud-native, AI-driven platforms capable of learning, predicting, and orchestrating logistics processes autonomously, because that is what companies need to compete now and in the future.

The right journey depends on innovation speed, risk tolerance, operational complexity

Future鈥憄roofing logistics ultimately comes down to choosing the right modernization path. Every organization has a unique starting point, depending on how existing solutions have been implemented across the business. To choose the right next step, leaders need to understand the available options, determine what fits with the organization鈥檚 appetite for innovation, and assess the transformational impact on the team.

Gartner鈥檚 logistics complexity model, breaking down process complexity across five levels, can help when setting a transformation strategy.

Companies operating at levels one to three of Gartner鈥檚 model are typically characterized by manual or semi-automated processes, regional distribution, and lower complexity. These companies are best-suited for SaaS-native warehouse and/or transportation solutions that offer the implementation speed of standardized workflows, cloud qualities such as flexible, mobile interface, and advantages from improved scalability and lower TCO.

Organizations at levels four and five require warehouse automation for high volume distribution, multi-modal transportation, and orchestration across multiple ERP systems. These companies seek the benefit of dedicated cloud environments that offer a higher level of adaptation for more control over their operations and their solution landscape.

麻豆原创 offers different pathways to help businesses run and modernize across the span of operational complexity. Below are three journeys to guide strategic planning for modernization. Each journey can be aligned to high-level business ambitions, accounting for process complexity, innovation speed, and risk tolerance.

Journey 1: Sustain temporary stability while preparing for modernization

Moving legacy 麻豆原创 ERP Central Component modules LE-WM and LE-TRA to 麻豆原创 S/4HANA for stockroom management keeps operations supported until 2040, offering more time to manage your transformation. This journey is about sustaining what works until you need to evolve. It is designed for organizations that need more time to move their decades-old warehousing solution into the future. This approach, rooted in stockroom management, extends the life of a proven system without prematurely forcing change. It is a temporary but intentional holding pattern for conservative logistics strategies based on a firm foundation. Throughout this journey, 麻豆原创 Logistics Management can be the go-to solution when you are ready to move from stockroom management.

Journey 2a: Modernize logistics in controlled steps

For organizations that know modernization is essential but need to be mindful of organizational change management, this journey offers a stable path. It begins with moving on-premise 麻豆原创 ERP Central Component modules LE-WM and LE-TRA to 麻豆原创 S/4HANA Cloud, private edition, with basic warehouse management and transportation management capabilities, creating a modern foundation for future readiness. From there, companies can evolve their processes toward more advanced options as their needs grow (see journey 2b). This journey is best suited to businesses that want flexibility and control in their operations as well as in their change management. This journey also supports deeply integrated logistics that align with the RISE with 麻豆原创 journey.

Along this journey, if you find that your business complexity is manageable, 麻豆原创 Logistics Management can even be incorporated as the most modern, AI-native 麻豆原创 solution for logistics to complement your ongoing operations.

Journey 2b: Move large-scale logistics to the cloud

This journey supports organizations that need to manage highly specific processes, high-automation, and mission-critical logistics execution with one or multiple ERP systems. You can migrate from 麻豆原创 Extended Warehouse Management and 麻豆原创 Transportation Management to the cloud with 麻豆原创 S/4HANA Cloud for advanced extended warehouse and transportation management without losing depth or control. This path can also serve as a second step for advancing operations from basic to advanced 麻豆原创 S/4HANA Cloud in order to support growing business needs.

Journey 3: The modernization gamechanger for logistics

For innovation leaders ready to sprint ahead of the competition, this journey represents the direct path to the most modern logistics operating model. Companies move from on-premise 麻豆原创 ERP Central Component modules LE-WM and LE-TRA to AI-native聽, bringing together cloud delivery, embedded intelligence, and network connectivity in a single solution for warehousing and transportation.

This is the right path for businesses that want to standardize faster, simplify their landscape, and take advantage of continuous innovation. You gain a more connected and adaptive logistics model with built-in AI and a carrier network. Along this journey, you are setting the pace for modern supply chains.

Future of logistics: Cloud-first, AI at the core, modular by design

Logistics is accelerating into a new era, one defined by both efficiency and intelligent adaptability and autonomous orchestration. Embodied in its evolving logistics portfolio, 麻豆原创’s strategy offers a clear, flexible, and future-ready path for companies at every level of complexity.

Whether maintaining existing operations, maturing gradually as complexity increases, or leapfrogging to leading-edge capabilities, you can now compose and run your entire logistics operations on 麻豆原创. Basic to moderate complexity processes are supported with 麻豆原创 Logistics Management, and advanced and highly automated business with S/4HANA Cloud EWM and TM. By combining the two, you can design and achieve logistics networks to improve speed, agility, and resilience.

To explore which聽logistics聽journey fits your business best, don鈥檛聽miss our “Future of Supply Chain” conversation with 麻豆原创 executive聽Till聽Dengel:聽.

In an industry rapidly shifting toward AI-powered operations, Martur Fompak International saw an opportunity to reimagine its material flow through the strategic implementation of technology. Building on the efficient, people-driven processes it already had in place, the company partnered with 麻豆原创 and Humanoid鈥攁 UK-based robotics and AI company鈥攖o explore how integrating embodied AI鈥損owered robotics could redefine material flow across its automotive manufacturing environment. Using Joule and embodied AI capabilities from 麻豆原创, Martur Fompak International now connects production signals and business context directly to autonomous execution, creating a context-aware automation system that prioritizes, picks and delivers materials while adapting in real time to changing business conditions.

Built on 麻豆原创 S/4HANA and enabled by the 麻豆原创 Extended Warehouse Management application, the solution enriches humanoid robots with real-time knowledge of tasks, attributes and exception handling. Guided by material data, storage locations, sequencing and production priorities provided via embodied AI, humanoid robots execute material flows across a live automotive manufacturing environment鈥攊dentifying, transporting and delivering materials to the line while continuously confirming back into 麻豆原创 solutions. Together with autonomous mobile robots (AMRs), the company has created a fully automated, scalable material flow that boosts throughput, improves accuracy and reduces reliance on manual coordination. By assigning repetitive, non-value-adding and physically demanding tasks to robots, Martur Fompak International is enabling its people to focus on safer, more meaningful and higher-value work that drives productivity and innovation.

鈥淥ur humanoid robot collaborates with digital production systems to ensure seamless coordination across order management, logistics and production, enabling scalable AI adoption and improving efficiency, consistency and operational resilience,鈥� said 脰zlem Alt谋n谋艧谋k, Group Intelligent Technologies Director at Martur Fompak International. 鈥淭he deployment of our humanoid solution, powered by an embodied AI layer and enabled through the Joule Studio solution, proves that combining cognitive autonomy with physical automation can transform execution, accelerate decisions and scale intelligent enterprise capabilities across the organization.鈥�

鈥淢artur Fompak International exemplifies what it means to turn AI ambition into real business value on the shop floor,鈥� said Emmanuel Raptopoulos, Chief Revenue Officer, EMEA, MEE and APAC, 麻豆原创 SE. 鈥淏y embedding 麻豆原创 Business AI directly into their physical operations, they are not only boosting throughput and operational resilience鈥攖hey are setting a new standard for what an intelligent, AI-first factory looks like. This is exactly the kind of end-to-end transformation that defines the future of manufacturing. We are proud to congratulate Martur Fompak International on being named the sole winner in the AI Excellence category at the 2026 麻豆原创 Innovation Awards鈥攁 testament to their boldness in turning intelligent enterprise vision into real-world impact.鈥�

Early results show increased throughput, fewer errors and a scalable, AI-driven intralogistics model. A future target of up to five times greater work efficiency has been set for mass production, with work orders expected to be completed faster, more consistently and with greater precision across production flows. With 400 daily production line feeds and 100% 麻豆原创 software鈥揹riven decision making already in place, Martur Fompak International is advancing beyond traditional automation, pioneering a scalable, intelligent factory that represents a new standard for the automotive industry.

Looking ahead, Martur Fompak International plans to further expand its autonomous operations across additional production lines, leveraging 麻豆原创 Business Technology Platform to scale AI-driven workflows and integrations鈥攕upporting both operational efficiency goals and broader sustainability commitments.

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Media Contact:
Ekin Tayali, +34 673019169, ekin.tayali@sap.com, CET
麻豆原创 麻豆原创 Room; press@sap.com

This document contains forward-looking statements, which are predictions, projections, or other statements about future events. These statements are based on current expectations, forecasts, and assumptions that are subject to risks and uncertainties that could cause actual results and outcomes to materially differ. Additional information regarding these risks and uncertainties may be found in our filings with the Securities and Exchange Commission, including but not limited to the risk factors section of 麻豆原创鈥檚 2025 Annual Report on Form 20-F.
漏 2026 麻豆原创 SE. All rights reserved.
麻豆原创 and other 麻豆原创 products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of 麻豆原创 SE in Germany and other countries. Please see for additional trademark information and notices.

While expectations for reliable, on-time delivery remain high, organizations are navigating faster鈥慶hanging demand, more complex global networks, and increasing pressure on cost and working capital. And they鈥檙e looking for ways to turn insight into action more quickly and consistently across the supply chain.

麻豆原创 has been helping organizations build more connected and intelligent supply chains for over 50 years. At 麻豆原创 Connect in October, we introduced 麻豆原创 Supply Chain Orchestration, establishing a foundation for detecting issues, coordinating responses, and connecting execution across complex supply networks.

The innovations announced this week at 麻豆原创 Sapphire extend that vision further. By introducing a new set of AI-driven assistants and agents, we鈥檙e moving orchestration toward an autonomous operating model, where planning, manufacturing, logistics, and asset operations increasingly anticipate, coordinate, and resolve without manual intervention at every step.

AI grounded in real operations

AI delivers lasting value in supply chain management only when it is embedded where work actually happens. Autonomous agents do not operate independently of enterprise applications; they rely on deeply integrated processes and trusted data. Precision, compliance, and resilience depend on this foundation. Without it, AI does not scale or earn trust.

At 麻豆原创, the Autonomous Enterprise represents a vision for how organizations will run their businesses in the future: with insight, decision-making, and execution increasingly connected, while people remain firmly in control. Autonomous Supply Chain Management is a practical step toward that vision.

Autonomous Supply Chain Management reflects an evolution in how planning, execution, and operations work together. People define goals and priorities, assistants orchestrate activity across domains, and agents execute the work鈥攁ll within governed, end鈥憈o鈥慹nd processes.

At 麻豆原创 Sapphire, we鈥檙e introducing , enabled by new Joule Assistants and Industry AI scenarios that apply this model to daily operations across planning, manufacturing, logistics, engineering, and asset management. General availability will be phased throughout 2026, starting now.

Joule Assistants across the supply chain

Rather than disconnected AI tools, the following assistants will be embedded directly into core 麻豆原创 supply chain applications, where deep process knowledge, semantically rich business data, and enterprise鈥慻rade governance already exist.

Each will support a distinct area of responsibility while sharing context, data, and outcomes across the supply chain:

• Asset and Service Assistant: Changes how work gets detected and dispatched, turning signals and anomalies into action rather than queue items
• Business Network Assistant: Extends this coordination outward across suppliers, logistics providers, and service partners so execution doesn鈥檛 stall at the edges of the enterprise
• Logistics Assistant: Keeps warehouse and transportation execution moving as conditions change, coordinating agents rather than waiting for human handoffs at every step
• Manufacturing Assistant: Connects shop floor signals with broader operational context so teams can act on disruptions faster
• Planning Assistant: Helps planners stay ahead of exceptions and constraints without having to manually piece together signals from across the network
• Product Design Assistant: Helps engineering and manufacturing teams stay aligned as products evolve, surfacing the downstream implications of changes before they create rework or delays

From assistants to autonomous agents

In addition to these assistants, 麻豆原创 is delivering more than 60 purpose鈥慴uilt agents across supply chain processes. These agents are designed to sense events, analyze impact, and take guided action within defined business guardrails, helping coordinate execution while keeping people firmly in control.

In manufacturing, agents such as the Production Excellence Agent and Production Master Data Readiness Agent continuously monitor production, quality, and machine signals to detect issues early and keep routings and work instructions aligned with enterprise plans. In asset and service operations, the Asset Performance Alert Processing Agent and Technician Briefing Agent are designed to assess asset conditions, prioritize work, and increase first time fix rates, helping reduce downtime and improve responsiveness.

Beyond supply chain-specific scenarios, these assistants and agents will also extend into 麻豆原创’s cloud ERP environment, including , supporting 麻豆原创鈥檚 broader Autonomous Enterprise strategy. General availability will be phased through 2026, starting now.

Building on this foundation, 麻豆原创 Industry AI adds industry-specific intelligence that complements the core assistants. Rather than standalone features, Industry AI brings together purpose-built agents, process expertise, and business data to drive measurable outcomes. This value-led approach helps organizations apply AI in ways that reflect regulated requirements, complex production models, and asset-intensive operations 鈥� accelerating information across entire industry value chains.

People remain responsible for strategy, oversight, and the decisions that require judgement. What changes is how consistently high-volume, time-sensitive coordination happens across the supply chain.

Where this shows up in practice

The Autonomous Enterprise is our vision, and the innovations we鈥檝e announced at 麻豆原创 Sapphire are concrete steps that customers can build on within current 麻豆原创 environments. They are focused on addressing value leakage caused by fragmented handoffs, delayed decisions, and manual work.

In planning, new capabilities will connect commercial decisions directly with supply planning, linking promotion and pricing plans to inventory and replenishment to reduce stockouts, minimize write-offs, and improve planning consistently. New capabilities include vendor-managed inventory, transportation load building, deployment optimization, and co- and by-product planning.

In manufacturing and engineering, updates to will strengthen compliance and traceability in regulated environments. AI capabilities in the engineering-to-manufacturing handover will help teams understand the downstream impact of design changes before they reach the shop floor, surfacing implications for bills of materials, routings, lead times, and costs directly in context.

In , new Joule Agents will support execution-level decisions across warehouse and transportation operations, validating inbound receipts, aligning labor with real workload, and helping organizations respond faster to shifting constraints. Predictive labor planning in will allow operations teams to anticipate workforce needs rather than react to gaps.

In asset and service management, a new 麻豆原创 Field Service and Asset Management solution will bring planning, scheduling, dispatching, and field execution together in a single experience, connected to so work execution, parts usage, and costs stay aligned across service, operations, and finance.

These capabilities will become available in phases through 2026, aligning with customers鈥� existing 麻豆原创 landscapes. Together, they represent incremental but meaningful progress toward more connected, automated, and resilient supply chain operations.

The path forward

Supply chains don鈥檛 become autonomous overnight. This evolution happens workflow by workflow, expanding automation where it delivers real value, while keeping people firmly in control. As AI becomes embedded in execution, supply chain teams spend less time monitoring and firefighting, and more time shaping decisions, managing trade-offs, and building resilience.

This shift is bigger than any single organization. In a new white paper,聽, we explore how leading organizations are moving beyond isolated AI pilots toward AI embedded across end-to-end supply chain processes, and what it takes to get there. This article draws on multiple sources, including analytical support from McKinsey & Company.

That鈥檚 the direction we are moving, from reacting toward supply chains that anticipate, absorb, and adapt. What we鈥檙e introducing at 麻豆原创 Sapphire reflects that commitment.For more details on all announcements made this week, please refer to the .

Dominik Metzger is president and chief product officer of 麻豆原创 Supply Chain Management.

In today鈥檚 environment of ongoing disruption, rising customer expectations, and persistent labor and cost pressures, warehouse operations are more strategic than ever. We believe long-term recognition in this market requires more than point solutions; it demands scale, depth, and an orchestrated approach that connects warehousing with other supply chain functions.

A recognition we believe is built on scale, reach, and execution

We believe scale matters when it comes to warehouse management. Warehouse operations are increasingly complex and diverse, and organizations often operate networks that span regions, industries, and levels of automation. Warehouse management is not a one鈥憇ize鈥慺its鈥慳ll challenge, and global organizations need solutions that can support regional requirements while remaining consistent and integrated across complex networks.

(麻豆原创 EWM) is designed to support organizations running 麻豆原创 ERP or 麻豆原创 S/4HANA as well as non-麻豆原创 environments. With customers across 24 industries, 麻豆原创 EWM supports a broad range of warehouse complexity鈥攆rom regional distribution centers to highly automated, high鈥憈hroughput operations. It enables organizations to standardize execution, improve visibility, and integrate warehouse processes with transportation, manufacturing, and broader supply chain operations.

麻豆原创 EWM continues to expand its innovation footprint with APIs for seamless robotics integration, as well as AI-assisted capabilities such as predictive labor demand planning and slotting. 麻豆原创鈥檚 Joule AI solution鈥攅mbedded across applications鈥攃an further enhance 麻豆原创 EWM by enabling natural-language interactions and supporting AI capabilities that operate both within workflows and in the background, helping organizations improve workforce efficiency and execution agility.

A portfolio approach to meet different warehouse needs

麻豆原创鈥檚 warehouse strategy is built around choice and flexibility. In February 2026, 麻豆原创 announced the general availability of , an AI鈥慹nabled, cloud鈥憂ative, microservices-architecture-based solution designed to complement 麻豆原创鈥檚 established logistics portfolio by supporting local, satellite, and mid鈥憇cale logistics operations.

麻豆原创 Logistics Management helps unite warehouse execution and transportation planning in a single solution, supporting pick鈥憄ack鈥憇hip processes while enabling integrated freight coordination and carrier collaboration through . Designed to work seamlessly with , the solution helps organizations connect localized operations with broader enterprise landscapes, improving coordination and real鈥憈ime visibility across logistics networks. Embedded AI capabilities, including support for Joule, can assist users with faster decision鈥憁aking and more intuitive interactions across logistics workflows.

Together, 麻豆原创 EWM and 麻豆原创 Logistics Management enable organizations to align technology investments with operational complexity, supporting mixed warehouse networks that include both highly automated facilities and smaller, distributed sites.

Platform strategy and supply chain convergence

Warehouse execution does not operate in isolation. 麻豆原创鈥檚 platform strategy connects warehousing with transportation, manufacturing, quality, maintenance, global trade, sustainability, and partner collaboration across the supply chain.

麻豆原创 EWM can be used with solutions to support process analysis and continuous improvement. It can leverage standardized APIs across 麻豆原创 ERP and 麻豆原创 S/4HANA to connect with adjacent execution systems such as transportation management, global trade, environmental health and safety, and . This platform-based approach helps organizations move beyond siloed execution toward coordinated, end鈥憈o鈥慹nd supply chain

Looking ahead

麻豆原创 remains focused on helping customers modernize warehouse operations while navigating broader ERP and cloud transformations. While organizations must carefully evaluate deployment models, cloud strategies, and long鈥憈erm road maps, 麻豆原创 continues to invest in warehouse management solutions that scale globally, integrate deeply, and support evolving business requirements.

We believe that being recognized by Gartner as a Leader for the 12^th consecutive time reflects continued execution across 麻豆原创鈥檚 warehouse management portfolio and the trust customers place in 麻豆原创 to manage critical logistics operations worldwide.

to learn more about why 麻豆原创 is a Leader. Learn more about the capabilities of .

Till Dengel is global head of Product Marketing for Logistics and Asset & Service Management at 麻豆原创.

*Gartner, Magic Quadrant for Warehouse Management Systems, by Simon Tunstall, Rishabh Narang, Federica Stufano, 29 April 2026.

Gartner does not endorse any company, vendor, product or service depicted in its publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner publications consist of the opinions of Gartner鈥檚 business and technology insights organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this publication, including any warranties of merchantability or fitness for a particular purpose.
Gartner and Magic Quadrant are trademarks of Gartner, Inc., and/or its affiliates.

Headquartered in Homberg (Ohm), Germany, with worldwide locations, in 2024 KAMAX generated 鈧�1 billion in revenue and employs 4,000 people dedicated to serving OEMs globally.

To maintain its competitive edge, the ambitious company embarked on a transformative journey to streamline its supply chain through digitalization and intelligent logistics management. This transformation centers around the deployment of (麻豆原创 EWM),  (麻豆原创 TM), and a comprehensive 麻豆原创 S/4HANA platform, supporting superior logistics efficiency, transparency, and sustainability.

Optimizing logistics at scale

Handling approximately 400 transports daily across multiple global plants, KAMAX manages two distinct logistics flows: goods pre-packed and stored in warehouses, and a “pack-to-order” system where items are packaged just before shipment. Currently, three plants operate on 麻豆原创 S/4HANA with 麻豆原创 Extended Warehouse Management and one pilot plant with 麻豆原创 Transportation Management integrated, while others are transitioning from 麻豆原创 ERP Central Component (麻豆原创 ECC).

The implementation of the advanced shipping and receiving process dramatically improved logistics transparency and efficiency.

“The use of the unified package builder, which leverages real data instead of estimates, allows us to provide precise shipping information to freight forwarders earlier in the process,” Jens Hoidem, director of IT Business Solutions at KAMAX, explained. This improvement enhances truck planning and communication with carriers, positively impacting the company’s logistics operations daily.

KAMAX collaborates exclusively with freight forwarders, working with approximately 20 carriers globally. At the advanced shipping and receiving pilot plant, about 60 deliveries per day are coordinated, involving around 2,000 handling units across five to six trucks. This network supports operational responsiveness without compromising control.

On premise today, cloud-ready tomorrow

Currently, three of KAMAX鈥檚 plants run on 麻豆原创 S/4HANA, with the remaining plants on 麻豆原创 ECC, all on an on-premises basis designed to be cloud-ready for future transitions.

Hoidem pinpointed the critical process improvements brought by advanced shipping and receiving in combination with 麻豆原创 Extended Warehouse Management and 麻豆原创 Transportation Management: 鈥淭he shipping registration now uses the unified package builder, relying on accurate, real data rather than estimated figures. This has substantially improved truck planning and early communication with our freight forwarders, impacting around 60 deliveries and about 2,000 handling units daily at our pilot plant.鈥�

Over 95 percent of KAMAX’s transport is by truck. “We maintain a global footprint close to our OEM customers to optimize delivery times and costs,鈥� Hoidem added. 鈥淲e currently engage about 70 to 80 different freight forwarders worldwide, facilitating diverse and dynamic transport needs.鈥�

Sustainability and process automation

KAMAX has a bold strategy for sustainability and aims for carbon neutrality by 2037. Implementation of 麻豆原创 Extended Warehouse Management and 麻豆原创 Transportation Management plays a crucial role in supporting KAMAX’s goal by enabling better route planning, efficient truck utilization, and minimizing empty runs.

鈥淩educing CO2 emissions through smarter transport management is a key project outcome,鈥� Hoidem added.

The German company is also actively advancing in automation. In China, KAMAX has piloted RFID technology integrated with automated guided vehicles (AGVs) to automate intra-logistics, reducing manual labor and enhancing productivity.

the company’s digital subsidiary, has developed an Operator Cockpit linked with 麻豆原创 Extended Warehouse Management for real-time monitoring and automated production order management. Using laser technology, KAMAX automated piece counting, saving about 40 labour hours in May at their Slovakian plant across 1,200 containers.

KAMAX plans to roll out 麻豆原创 Extended Warehouse Management, 麻豆原创 Transportation Management, and advanced shipping and receiving across all seven plants, progressively improving automation and digitalization of intralogistics processes. 鈥淲e aim to integrate AI for advanced receiving and transportation management, continuing to optimize costs and capacity,鈥� Hoidem shared.

Curious about how KAMAX鈥檚 journey to streamline and future-proof its supply chain? .

Using RISE with 麻豆原创, BMW Group converted the factory鈥檚 operations to modern cloud software, which also enables greater integration of AI. The successful go-live among this complex shift operation was the result of an extraordinary team, a strategic partnership lasting more than 30 years, and seven years of co-innovation between BMW and 麻豆原创.

Creating a new standard as partners

Following the initial rollout of the new solution at BMW Group鈥檚 MINI plant in Oxford, England, the Regensburg plant is the first full-scale BMW Group facility to transition to 麻豆原创 S/4HANA.

The rollout of the new cloud solution for the parts process chain (abbreviated as PKT in German) affected the entire logistical process chain for the digital control of parts supply in vehicle production — from ordering required components from suppliers, receiving, and warehousing to delivering them to the production line.

In addition to purely logistical processes, the solution also covers the plant鈥檚 quality and maintenance processes. For the first time, the new PKT template for 麻豆原创 S/4HANA enabled unified management of parts supply across all production technologies required to build a vehicle.

The project鈥檚 success is rooted in a team that worked across corporate boundaries toward a shared goal. Customer Services & Delivery and Product & Engineering teams from 麻豆原创 partnered with BMW to create a blueprint for holistic digital transformation in production logistics — from the press, body, and paint shops to final assembly.

Awareness of the importance of this transformation project was palpable among every 麻豆原创 employee involved. 鈥淲e made one thing clear to everyone on the team: every single car counts,鈥� says Carola Schoenfelder, chief project expert, Strategic Customer Innovations at 麻豆原创, and program lead for 麻豆原创 at BMW. 鈥淚t wasn鈥檛 only about IT; it was about the factory, the people, and the result.鈥�

Transformation as a staircase

Around one-third of employees at the BMW plant in Regensburg work directly with 麻豆原创 S/4HANA components, including and 麻豆原创 Extended Warehouse Management. Involving those affected in the change process was critical to success. Another factor in the project鈥檚 success was learning from experience. The smaller MINI factory in Oxford had already completed its go-live, which helped guide the project team as it worked on the bigger Regensburg project.

Instead of designing the transformation as a metaphorical 鈥渞ock face鈥� that had to be climbed without any safety equipment, the team viewed it as a 鈥渟taircase鈥�: an incremental, guided transition. In addition, satellite support points were set up within the factory to offer support at any time.

Identifying optimization potential

Six months after go-live, it is clear that the transition to 麻豆原创 S/4HANA Cloud Private Edition is more than just a technical upgrade; it鈥檚 noticeably changing daily operations. In particular, the new 麻豆原创 Extended Warehouse Management application is proving to be a key technology that supplies important data and identifies potential for optimization.

Thanks to the new data foundation, the potential for optimization can be more precisely identified, for example, by the use of tugger trains and reduction of internal transport kilometers.

Standardization brings not only efficiency but also flexibility. Employees can switch between tasks more easily, and even between factories, because less specialized knowledge is needed. The processes are more streamlined and more transparent.

鈥淭he global digitalization of our production logistics significantly increases transparency and standardization, allowing us to respond more quickly to changes in demand or supply shortages,鈥� explains Michael Nikolaides, head of Production Network and Logistics at the BMW Group.

Ready for an AI-driven future

Strategically, the new IT infrastructure has brought significant changes. The cloud provides speed and flexibility, without users having to worry about the technology in the background. Moreover, the introduction of standardized cloud solutions is a crucial step toward fully harnessing the potential of AI in the future. To benefit sustainably from AI, standardized software solutions that can be quickly enhanced with new capabilities are needed.

鈥淲ith the next stage of digitalization in production logistics — enabled by consistent, unified data structures and standard process templates — we have significantly advanced the AI enablement of the BMW Group,” explains Alexander Buresch, CIO and senior vice president of BMW Group IT.

Over a seven-year period of co-innovation, BMW shared its automotive-specific requirements while 麻豆原创 mapped large sections of these requirements in 麻豆原创 S/4HANA and in the industry solution 麻豆原创 S/4HANA for manufacturing logistics. 鈥淎s part of our partnership with 麻豆原创, we have transferred key corporate processes to a service-oriented, cloud-based platform, achieving a new level of efficiency, quality, and automation,鈥� Buresch says.

Those who use a shared standard can also find solutions collectively, share them, and co-develop solution designs. If other automakers configure on the same standard in the future, BMW will also benefit from new 麻豆原创 releases.

The strategic collaboration to develop the PKT template began in 2018 as a project driven by deep expertise and strong commitment. The go-live in Regensburg is a key indicator that 麻豆原创 S/4HANA Private Cloud can meet the complex demands of a high-volume vehicle plant. Together with BMW, the 麻豆原创 consulting team demonstrated that with meticulous preparation, a lossless go-live in a complex shift operation is possible. The rollout process works and can be adapted and expanded plant by plant.

Hendrik Haas, senior vice president, general manager, and head of Customer Services & Delivery Middle and Eastern Europe at 麻豆原创, adds: 鈥淭he collaboration with our lighthouse customer BMW is making waves in the market and demonstrates how digital transformation in production logistics can be successfully implemented. BMW鈥檚 Regensburg factory was an important step, with extraordinary commitment from both sides of the partnership. We will continue the RISE with 麻豆原创 transformation at the main factory in Munich this summer, together with BMW.鈥�

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麻豆原创鈥檚 positioning as a Leader is based on our ability to execute and the completeness of our supply chain vision. We believe this recognition represents our ongoing commitment to developing best-in-class warehouse management technology that can help organizations withstand the ever-shifting landscape of logistics operations.

Building on strength

Every day, supply chain managers are tasked with adapting to rapidly evolving technology, unprecedented disruptions, and increasing demand for faster delivery. These challenges are driving shippers toward implementing intelligent and agile technologies that make them more flexible and responsive.

However, that鈥檚 not enough. Now, integrated logistics processes are the new standard鈥攁llowing businesses to automate, optimize, and improve productivity across their entire warehouse and logistics operation.

is a flexible, modern application that helps businesses manage a high volume of goods and run sustainable, digitalized, and risk-resilient operations with cloud-based warehouse processes. From simple warehouses to high-volume and automated distribution facilities, 麻豆原创 EWM can integrate supply chain logistics with warehouse and distribution processes, helping to deliver the visibility and control organizations need.

• Logistics process orchestration: 麻豆原创 EWM offers integrations with 麻豆原创 ERP Central Component (麻豆原创 ECC) and 麻豆原创 S/4HANA and components like transportation management, global trade compliance, plant maintenance, and manufacturing integration capabilities. With harmonized data and business objects, organizations can have fewer silos between warehousing and transportation with advanced shipping and receiving (ASR) to manufacture and distribute products more efficiently.
• AI applications: 麻豆原创 EWM offers AI and machine learning capabilities to help streamline warehouse operations, such as slotting to optimize storage and predictive labor demand planning to address the pressing challenges in executing warehouse operations that companies face due to labor shortages and increased order volumes.
• Robotic-powered smart warehousing: 麻豆原创 EWM customers can quickly onboard multiple robotics vendors to enable collaborative and efficient warehouse task operations. Customers have a choice of specialized 麻豆原创 partners on 麻豆原创 Store for faster adoption of robots in their warehouses. This scalable integration offers flexibility and can ultimately drive innovation by helping to lower costs, increase accuracy, and enhance capacity.

Why companies choose 麻豆原创

Companies worldwide, across diverse industries, rely on 麻豆原创 Extended Warehouse Management to help optimize their warehouse operations and enhance supply chain efficiency.

• The largest WMS customer base: With thousands of 麻豆原创 EWM customers in 75 countries and 24 industries, our best-in-class deployment capabilities make us the preferred choice for businesses globally.
• Comprehensive ecosystem: Our offerings encompass implementation, consulting, insights, and various other functions, enabling 麻豆原创 EWM customers to manage their warehouse operations seamlessly within the 麻豆原创 environment. Customers can access additional extensions through 麻豆原创 Store, and future releases will foster further integration within the larger 麻豆原创 ecosystem.

Recent innovations in extended warehouse management innovations

The latest releases of 麻豆原创 Extended Warehouse Management include several key benefits:

• Enhanced logistics process orchestration: Deep integration with 麻豆原创 S/4HANA capabilities in transportation, production, and quality management
• AI-assisted warehouse operations: Streamlined processes through artificial intelligence
• Efficient goods management: Improved planning and execution of movement and storage processes
• Optimized warehouse automation: Better management of diverse automation landscapes
• Flexible deployment options: Cloud-based solutions for adaptable implementation
• Process optimization: Integration with 麻豆原创 Signavio solutions for enhanced efficiency

These innovations can provide a comprehensive approach to modern warehouse management, combining advanced technology with practical operational improvements.聽

and learn more about the capabilities of .

Till Dengel is global head of Product Marketing for Logistics and Asset & Service Management at 麻豆原创.

Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner鈥檚 research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, and MAGIC QUADRANT is a registered trademark of Gartner, Inc. and/or its affiliates and are used herein with permission. All rights reserved.

To ensure that patients globally receive required medications and treatment on time, the management of manufacturing and distribution must be ultra-efficient, agile, and responsive.

With patient safety on the line and high-quality expectations, there is no room for error. 

One company that has mastered this balancing act is Ireland-based , a high-growth, diversified healthcare services company that provides distribution services for pharmaceutical products. The company works closely with manufacturers to offer third-party logistics (3PL) and fourth-party logistics (4PL) services to remain true to its mission of securing patient access to pharmaceutical products.

In the last decade, UniPhar has witnessed unprecedented growth and today delivers pharmaceutical products to more than 160 countries.

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麻豆原创 and UniPhar: A 15-Year Partnership

UniPhar has grown organically and through acquisitions, and during this time its 麻豆原创 enterprise resource planning (ERP) landscape had become highly customized.

Two years ago, UniPhar鈥檚 board gave its Chief Enterprise Architect Piotr Wojdowski a mandate 鈥渢o rework the company鈥檚 digital core鈥� and deliver a digital transformation to unlock future growth while still safeguarding the highest of standards in the manufacturing and distribution chain.

In the quest to find a software partner for its digital transformation, Wojdowski says UniPhar needed 鈥渁 partner and a software that is reliable and best in class鈥� to strengthen and future-proof the company鈥檚 ability to deliver on its mission of securing patient access to pharmaceutical products.

Wojdowski explains that there is an element of social responsibility to UniPhar鈥檚 mission. The patient requiring the pharmaceutical products or services 鈥渃ould be somebody鈥檚 relatives, it could be somebody鈥檚 mother, or it could be somebody鈥檚 son,鈥� making it even more important that the selected digital transformation software and partner was not only best in class but also reliable and trustworthy. 

鈥淣ot only had 麻豆原创 proved itself to be a trusted and reliable partner for UniPhar for 15 years,鈥� Wojdowski explains, but 麻豆原创 鈥渋s a standard in the health services sector, making integration of other services easier.鈥�

麻豆原创 Advances UniPhar鈥檚 Technology and Talent

UniPhar’s goals are to grow horizontally, expand, and scale on demand. , , and play a pivotal part by, on the one hand, standardizing IT processes across the group and, on the other, managing distribution and inventories across different warehouses with 麻豆原创 EWM state-of-the-art warehouse management software, while using 麻豆原创 Datasphere for data management.

In a nutshell, says Wojdowski, 鈥渢he 麻豆原创 technology stack allows us to effectively advance our program quickly,鈥� using to build applications and extend 麻豆原创 solutions. 麻豆原创 Business Technology Platform (麻豆原创 BTP) acts as an accelerator to move to 麻豆原创 S/4HANA Cloud Private Edition, helping UniPhar transform with confidence and speed using proven migration tools and enabling integration across applications.

麻豆原创, and especially 麻豆原创 BTP, is not only a technology enabler but also allows UniPhar 鈥渢o innovate and attract the top talent as an organization because people want to come to work in an environment that is innovative, that allows you to try things, and that allows you to experiment,鈥� Wojdowski says.

Laying Foundations with 麻豆原创 Today for Tomorrow鈥檚 AI

UniPhar is currently in the implementation process and Wojdowski has a keen eye on the future, noting that 鈥渆venting, observability, and telemetry鈥� will form the basis of future artificial intelligence (AI) enhancements.

Data is critical in the pharmaceutical industry, he explains, and UniPhar 鈥渉as terabytes and terabytes of data that we are not physically able to analyze because it’s complex and massive.鈥� The plan is to migrate the data to a central repository and in the future 鈥減lug into an AI system to track patterns, track customer behaviors, track market trends, and react accordingly.鈥�

Make a Challenge a Proof-of-Concept

麻豆原创 solutions are enabling UniPhar to innovate and step into the future on its own terms, with standardized processes, best practices, and foundations for AI technology that can scale and strengthen UniPhar鈥檚 mission to improve patient access to pharmaceutical services and products across the globe.

Wojdowski says 麻豆原创 seems to have a solution for every business requirement, but even though 鈥測ou may have to customize and change things that 麻豆原创 provides out of the box, at the end of the day it’s a full enterprise suite and you can run 麻豆原创 end-to-end if you wish.鈥�

And Wojdowski鈥檚 advice for other companies planning a digital transformation? Challenges can become proofs of concept 鈥� there is no need to accept that something cannot be done. 鈥淏e brave, be daring, and ask questions. Challenge your partners and challenge yourself,鈥� he concludes.

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Uniphar is a leading healthcare and pharmaceutical services company based in Ireland. Piotr Wojdowski, chief enterprise architect at Uniphar Group, shares how 麻豆原创 cloud technology allows the company to innovate, attract top talent, and reduce complexity. Learn more.

Agritech, or agricultural technology, looks to improve yields and efficiency on farms using technology, and Mindsprint helps customers digitally transform sustainably. The Singapore-based technology and business services firm鈥檚 services include digital transformation, cybersecurity, and more 鈥� which requires a robust landscape.

鈥淣ow, we have added almost every product that 麻豆原创 has into our environment,鈥� Amit Jain, senior vice president and head of 麻豆原创 at Mindsprint, said. This includes moving to 麻豆原创 S/4HANA as well as running 麻豆原创 SuccessFactors solutions, 麻豆原创 Concur solutions, 麻豆原创 Integrated Business Planning for Supply Chain, and more. 鈥淲e work very, very closely with 麻豆原创 鈥� not just on the product side, but also on the services side.鈥�

This has helped Mindsprint stay nimble and continue serving its customers 鈥� and their customers 鈥� as market demands have shifted.

Transparency for All

鈥淧eople are not going to the shops anymore,鈥� Jain said. 鈥淧eople want to order everything online.鈥�

COVID-19 helped accelerate that shift, giving rise to food startups and other e-commerce sites, according to Jain. And Mindsprint uses logistics, finance, and manufacturing solutions within 麻豆原创 S/4HANA to help those customers meet growing online demand and add transparency to the process.

鈥淲hen you talk about the food supply chain, people want to be sure that the food that they鈥檙e eating is good 鈥� so they鈥檙e able to trace the origins of the food,鈥� Jain said.

Toward that end, Mindsprint also relies on 麻豆原创 to help refine transportation management every step of the food鈥檚 journey, from farms to ports and all the way to consumers, according to Jain. And between each of those trips, proves to be important, as different foods require different temperatures and other conditions.

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Tech-Driven Conservation

鈥溌槎乖� continues to be the core of everything that we do, but we also use other technology like blockchain,鈥� Jain said. 鈥淏lockchain helps us track our supply chain of our products end-to-end.鈥�

Mindsprint uses sensors on farms as well as in its products, according to Jain. This includes the company鈥檚 large palm plantations, where farmers can monitor frond health, which can help conserve resources and prevent rot.

鈥淲e can actually use the technology to track each and every palm tree we have in plantations to figure out which are green palms, which are the yellow palms,鈥� Jain said. 鈥淭hat way we can remove the yellow palms before they become rotten.鈥� This dangerous turn from healthy green to sickly yellow or brown .

These agricultural sensors can also help a farmer better allocate water to specific fields 鈥� or even individual plants 鈥� that need it and not irrigate those that don鈥檛. This can help improve the crops and their yields, Jain noted. Additionally, it helps protect a resource that is all too rare and precious in some communities.

鈥淚t also helps us conserve water,鈥� Jain said. 鈥淓very drop saved is a lot of importance.鈥�

Track and Trace Everything

The agritech industry is focusing heavily on supply chains, according to Jain. And that鈥檚 where Olam and Mindsprint are seeing the biggest benefit from 麻豆原创 technology.

鈥淲e are able to optimize our supply chains; we are able to track and trace everything that we do,鈥� Jain said. 鈥淭hat has helped us save a lot of money.鈥� The technology also helps Mindsprint make more sustainable choices, improve transportation, and even select the right logistics partners, according to Jain.

鈥淎ll those decisions are made using 麻豆原创,鈥� Jain said.

We believe that this recognition confirms our strategy in logistics, which is based on three pillars:

• Connecting every process to facilitate synchronized logistics execution, supporting highly efficient and fast-paced fulfillment cycles through seamless integration with logistics applications like 麻豆原创 Transportation Management, 麻豆原创 Business Network for Logistics, etc.
• Collaborating within a diverse ecosystem of system integrators, software partners, hyperscalers, hardware partners, and robotics OEMs, with warehouse management being an integral part of cloud ERP.
• Contextualizing every decision leveraging artificial intelligence (AI) and machine learning to optimize operations and to provide business insights

(麻豆原创 EWM) is an integral part of the overall 麻豆原创 strategy and gives companies the ability to operate modern warehouses that must respond quickly to changing business conditions. The flexibility of 麻豆原创 EWM helps manage a high volume of goods and run sustainable, risk-resilient operations with digitized warehouse processes in the cloud including direct control of warehouse automation equipment.

麻豆原创 continues to innovate in 麻豆原创 EWM based on market analysis and even more importantly based on feedback from our global install base and ecosystem. Recent innovations include cross-process integration in the areas of transportation, production, and quality management, addressing industry-specific requirements, extensibility, and usability.

麻豆原创 EWM combined with 麻豆原创 Transportation Management and 麻豆原创 Business Network for Logistics provides a platform for companies to collaborate with their logistics partners to gain end-to-end visibility and insights across their logistics operations.

Our global partner network — made up of systems integrators, business consultants, and technology providers — helps our customers manage their warehouse management transformations, whether they be system replacements, upgrades, greenfield deployments, or part of larger enterprise transformations.聽

鈥淲arehouse Management with 麻豆原创 EWM is an integral part of our cloud ERP offering,” said Till Dengel, global head of Logistics and Manufacturing Product Marketing at 麻豆原创. “Customers use 麻豆原创 EWM to manage their warehouse operations in 66 countries and 24 industries.鈥�

鈥溌槎乖� Extended Warehouse Management helped Bridgestone reduce errors, with a new level of productivity and safety.鈥�

Eric Dyason, National Distribution Manager, Bridgestone New Zealand Ltd.

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Ganesh Wadawadigi is chief product marketing owner for Logistics at 麻豆原创.

*Gartner, Magic Quadrant for Warehouse Management Systems, Simon Tunstall, Dwight Klappich, Rishabh Narang, Federica Stufano, 2 May 2024

GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, MAGIC QUADRANT is a registered trademark of Gartner, Inc. and/or its affiliates and are used herein with permission. All rights reserved.
Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner鈥檚 research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

Instead, they are recognizing the need to resolve supply chain disruptions in an integrated way, bridging the silos of various functions and going beyond dealing with supply chain disruptions as they occur. 

Taking a macro-view is also something governments have begun doing. Just think of the huge investments to “bring supply chains home”; for example, for semiconductors or for sustainable energy.鈥� At the same time, diversifying supply chains and complying with new regulations keeps increasing their complexity. 聽

Companies take various approaches to these challenges, such as de-coupling their supply chains by building up costly inventories for critical components. Another option is聽reshoring or nearshoring, which brings manufacturing and supplier relationships closer to core markets, ideally in countries with similar political and economic systems. But all of these strategies come with downsides, including the cost of operations in globally competitive markets.聽

At 麻豆原创, our vision is to embrace interconnected supply chains and optimize material flows — sustainably — with digital technologies. We believe in intelligent strategies to reduce supply chain uncertainties for the long-term by helping industries redefine their operations and by creating value chains that are more intelligent, connected, and responsive.鈥�

Supply Chain Convergence Increases Agility 

Companies that resolve supply chain disruptions in an integrated manner bridge the silos of various functions such as procurement, logistics, or manufacturing. That鈥檚 how they can truly alleviate the impact to their organizations. Supply chain functions need to work in concert and extend into their ecosystem of suppliers. Even the most accurate supply chain plan is meaningless if material suppliers cannot commit to volumes and lead times. Through integrating supply chain planning, such as demand and supply plans with procurement collaboration, manufacturers have a much stronger strategic lever to avoid downstream shortages.聽

At 麻豆原创, we call this approach design-to-operate. Our strategy is to deeply connect all relevant functions in a supply chain along end-to-end value chains and business processes. Going beyond the four walls of your own enterprise, into your ecosystem of suppliers and sub-suppliers — that鈥檚 the ultimate way to tackle supply chain challenges. In the case of supply shortages, for example, it is imperative to analyze the impact to the organization. 聽

With 麻豆原创 Integrated Business Planning, . Impacted customer orders and revenue at risk are visible and informed actions can be taken to mitigate any shortages, for example, by changing production schedules. The 麻豆原创 Digital Manufacturing system knows immediately about the changed production plan for the next shifts and adjusts labor and resources accordingly. Logistics departments in 麻豆原创 Extended Warehouse Management orchestrate the new material flow, , and asset maintenance activities are re-scheduled to adhere to the new production priorities.聽

As a result, supply chain leaders who follow a design-to-operate paradigm are highly agile and can take critical actions quickly to deal with supply chain disruptions.聽

麻豆原创鈥檚 Industry Business Networks: A New Paradigm鈥�&苍产蝉辫;

Entire industries are recognizing the benefits of going beyond the four walls of their own enterprise. Consider a car company investigating faulty engines coming from one of their production lines. Now imagine it can trace the failure not only to a particular batch of components from one supplier but then dig even deeper to identify faulty basic parts from the supplier鈥檚 supplier. Instead of having to recall thousands of vehicles, it needs to recall only a few.鈥�

Solving problems this way requires a mindset for radical collaboration as well as technology for efficient, cross-company data exchange. is an open network that enables just that. It guarantees interoperability by defining common standards. The network is not owned by a single business and data providers keep their data sovereignty. For instance, they define for how long and for which purpose their data can be used. On the other hand, consumers can trust that data comes from a reliable source.鈥�

麻豆原创 is one of the founding members of Catena-X, together with five other companies. Since 2020, the initiative has grown to IT companies. Among them are Germany鈥檚 biggest car companies as well as many small and medium enterprises. Catena-X may soon become the industry鈥檚 standard.鈥�

Naturally, the is ready for Catena-X. It readily connects Catena-X to 麻豆原创鈥檚 broad portfolio of automotive IT solutions to trace parts, measure carbon emissions and manage demand, capacity and quality.鈥疪ecently, 麻豆原创 announced business networks for more industries, including , with more to come.鈥�

Generative AI Adds New Types of Intelligence 

A key tool in solving supply chain complexity challenges is artificial intelligence (AI). Even before the recent groundbreaking advances in large language models (LLMs) and generative AI, our supply chain solutions have been infused with both 鈥渢raditional鈥� and 鈥渁dvanced鈥� AI.

For instance, creates demand forecasts based on historical demand patterns, but it also leverages advanced machine learning capabilities to improve forecast demand with point-of-sales data and improve planning quality using self-healing master data and lead time predictions. In the future, generative AI will enable completely new types of intelligent capabilities like these:

• Facilitating human-machine interaction: Users will soon be able to interact with their system much more naturally via our new embedded generative assistant Joule. For example, they will be able to ask which of customer X’s demands for product Y are still unfilled in Central America. Joule will give the answer, intelligently combining data from various systems and domains because it will be embedded throughout the 麻豆原创 cloud enterprise portfolio.
• Supporting creativity: Much like a sparring partner, generative AI can help designers, engineers, and product managers create new product ideas in an innovation cycle and iterate them with 麻豆原创 Enterprise Product Development.
• Transforming unstructured data: Consider a truck arriving at a warehouse with inbound cargo. The clerk knows what cargo to expect and this is saved in an 麻豆原创 system. However, what is really on the truck is written on a loading list, often in paper form. Making this data available digitally has been possible for quite a while and is known as optical character recognition (OCR). What鈥檚 new is that generative AI tools can now match the unstructured loading list to the structured data already in the system — in a split second.

Leveraging AI for companies to scale and sustain business operations will no longer be optional. Consider the increasing labor shortage facing manufacturing companies, among others. They will have a shortfall of up to 85 million employees by 2030 — roughly the population of Germany!

By automating mundane tasks with advanced AI capabilities, we will bridge the human resources gap and enable experts to focus on what really matters: making data-backed business decisions.

Human and artificial intelligence work hand in hand — it鈥檚 a duet, not a duel.

We already help our customers build risk-resilient supply chains and deeply connect enterprises to run productive, agile and automated operations. Now, by also leveraging the power of generative AI, we will ensure that supply chain resilience doesn鈥檛 have to be something that keeps CEOs up at night.

Thomas Saueressig is a member of the Executive Board of 麻豆原创 SE, 麻豆原创 Product Engineering.

(麻豆原创 EWM) leverages robust automation technologies and optimization techniques in combination with logistics and fulfillment processes. It covers all facets of warehouse and distribution management, including multichannel fulfillment and distribution, inventory management and control, cross-docking, integration to manufacturing execution, labor management, and billing for companies of various sizes and industries. 麻豆原创 continues to enhance 麻豆原创 EWM based on feedback from the global install base as well as market analysis.

麻豆原创 EWM combined with 麻豆原创 Warehouse Robotics helps automate warehouse operations with quick onboarding of robots from multiple vendors for optimal decision making and efficient task orchestration. Combined with 麻豆原创 Warehouse Insights, it helps visualize, analyze, simulate and optimize warehouse operations. 麻豆原创 EWM combined with 麻豆原创 Transportation Management and 麻豆原创 Business Network for Logistics provides a platform for companies to collaborate with their logistics partners to gain end-to-end visibility and insights across their logistics operations.

The global 麻豆原创 partner network includes systems integrators, business consultants, and technology providers that expand the breadth and depth of how 麻豆原创 EWM helps customers manage their warehouse operations. We continue to strategically expand our partner network to help ensure that our customers have access to an ecosystem that supports their operations no matter where they are in the world.

鈥淲e are delighted that our WMS solutions have once again been recognized as a leader,” said Till Dengel, global head of Digital Logistics and Manufacturing Solutions at 麻豆原创. “The rating is a testament to the trust our large customer base has placed in us to manage their warehouse operations in over 20 industries and in every region of the world. It is further validation of our innovation capabilities and road map.”

鈥淏y bringing all of our businesses together into one central facility, we knew we needed to efficiently streamline our operating systems, platforms, and processes to reflect our newly integrated business model,鈥� said Brent Fiecken, general manager of Logistics and Distribution at Fonterra Co-operative Group Limited. 鈥淭he deployment of 麻豆原创 Extended Warehouse Management has been a key enabler in helping us bring all our technologies together, including our voice-picking solution and RF scanners. It has enabled us to be as effective as we are today. With so many variations in product mix, distribution routes, and routes to market, we needed a solution that allows to really leverage all of those and deliver. 麻豆原创 EWM has helped drive that efficiency and increased our overall customer base.鈥�

.

GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, MAGIC QUADRANT is a registered trademark of Gartner, Inc. and/or its affiliates and are used herein with permission. All rights reserved.
Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner鈥檚 research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

That is what we solve at 麻豆原创 with our unique approach to AI.

Built-In, Relevant, Responsible Business AI

At 麻豆原创, we deliver AI that is available from day one, as it is already built into the 麻豆原创 applications that power the most critical business processes. It works for an entire business because it is developed using extensive industry-specific data and deep process knowledge. Organizations can use it with confidence, as it is created using responsible AI practices. In essence, 麻豆原创 AI is AI built for business.

Today at 麻豆原创 Sapphire, we are announcing 15 new business AI capabilities, many powered by generative AI. We have also expanded our partnership with Microsoft on generative AI.

Let鈥檚 have a closer look at a few of these new capabilities.

Strengthening Human Capital Management

A company鈥檚 greatest asset is its workforce. Our focus for human capital management (HCM) is to use AI to help organizations attract, retain, and skill their employees. New generative AI capabilities in 麻豆原创 SuccessFactors Recruiting enable hiring managers to create compelling and accurate job descriptions that capture the desired skills and attributes of each role. Integration with Microsoft 365 Copilot in Word allows them to fine-tune further and then seamlessly publish back in 麻豆原创 SuccessFactors software. Generative AI capabilities in the 麻豆原创 SuccessFactors solution also generates interview questions tailored to specific job descriptions and candidates鈥� resumes, helping ensure inclusive language. The combined effect of these business AI capabilities saves hiring managers precious time and improves interview quality, maximizing the effectiveness of the hiring process.

We are also announcing talent intelligence hub in 麻豆原创 SuccessFactors software, which leverages people鈥檚 skills, competencies, capabilities, interests, work styles, and learning preferences to formulate recommendations that help employees develop and grow. These recommendations inspire, guide, and support employees by suggesting learning choices, roles, mentoring programs, and peer connections. Organizations also gain a better understanding of skill sets in their workforce to improve internal mobility, retention, and workforce agility.

Both of these business AI scenarios are planned for availability this year.

Growing Supply Chain Resilience

In supply chain, we are using AI to help predict, prepare, and respond to rapidly evolving demands. New generative AI capabilities in 麻豆原创 Transportation Management enable automotive and manufacturing companies to automatically process the tens of thousands of delivery notes they receive daily in different formats. The automation avoids data entry errors and works out of the box without requiring curated training data.

Additionally, in 麻豆原创 Extended Warehouse Management, we are introducing an intelligent slotting capability that uses AI to suggest how to optimize warehouse organization, stocking, and replenishment based on a product鈥檚 characteristics, demand, or forecasts. This capability helps maximize warehouse space and increase the efficiency of warehouse management.

Users can take advantage of the intelligent slotting capability today; intelligent goods receipt is planned for availability later this year.

Increasing Efficiency and Compliance in Procurement

In procurement, we are using AI to help users contain costs and increase compliance across different markets. The new intelligent invoice conversion capability in 麻豆原创 Business Network makes it easier for procurement teams to onboard new suppliers by automatically extracting and processing relevant information from supplier invoices. A close feedback loop improves the mapping accuracy over time, further expediting invoice processing and accuracy.

We are also using AI to enhance the employee purchase experience with personalized recommendations in 麻豆原创 Ariba Buying. The guided buying capability uses data, such as employees鈥� roles, to suggest products and services chosen by peers and other pertinent products from the company catalog to improve the buying experience and curb maverick spend.

The guided buying capability in 麻豆原创 Ariba Buying is available today; the intelligent invoice conversion on 麻豆原创 Business Network is planned for availability later this year.

Reducing Risks and Controlling Costs in Finance

In finance, we are using AI to transform all finance operations with insights, recommendations, and automation. The new intelligent collections in 麻豆原创 S/4HANA helps collection specialists forecast the risk of a late payment on an invoice and better prioritize which customers require follow up. This not only streamlines an extremely time-consuming task, but also simplifies risk management and makes it easier for corporate treasury to manage liquidity and capital levels.

Intelligent collections in 麻豆原创 S/4HANA is available today.

Improving Employee & Customer Experience 聽

麻豆原创 Digital Assistant provides a unified natural language interface for 麻豆原创 solutions. We are adding new generative AI capabilities to provide users with tailored assistance based on their context, helping new and experienced users be more productive with the tasks at hand.

麻豆原创 Digital Assistant is also expanding its capabilities to provide users with proactive and contextual assistance inside their applications, starting with 麻豆原创 Customer Experience solutions. With the new 麻豆原创 Digital Assistant for customer experience, sellers and support teams can easily get holistic insights, create recommendations, and automatically generate content to personalize customer experiences.

Both these capabilities are planned for availability later this year.

Increasing Agility and Foresight Across your Business

We have covered just a few of the many business AI capabilities we are announcing at 麻豆原创PHIRE. The figure below summarizes all of them — including the ones that bring value to several business functions, such as generative AI scenarios in 麻豆原创 Analytics Cloud and 麻豆原创 Signavio Process Manager.

New AI Capabilities

Delivering AI with Trust and Transparency

Responsible AI has been integral to our AI strategy since its inception. We follow a holistic approach to delivering AI that puts humans at the center of our products and processes. To do so, we have established an ethics policy and compliance processes to put responsible AI into practice. The AI in our applications is transparent, so we can understand how it makes inferences and builds recommendations. It respects the privacy of sensitive data and helps users avoid bias in your decisions. Altogether, we ensure you remain in control.

Learn more about these announcements and how 麻豆原创 AI is built for business:

Bharat Sandhu is senior vice president of Application Development and AI at 麻豆原创.

These were the words of Pepijn Timmermans, vice president of Digitalization at VDL Nedcar,聽who I recently had the chance to speak to about how the company modernized and digitalized its yard operations.

What Is VDL Nedcar?

is not just the only independent contract manufacturer in the Netherlands but also one of the most advanced vehicle manufacturers in Europe. The 50-year-old company builds high-quality cars for major brands such as BMW, as well as a plug-in hybrid electric vehicle (PHEV) variant of the MINI Countryman. And as a company that banks on strong partnerships and innovation, VDL will also build electric vehicles for their newest customer, the U.S. company Canoo.

How to Manage a Yard Full of Moving Products

VDL Nedcar faced the challenge of managing the movement of vehicles, parts, and materials. 鈥淲e have 1,000 parts suppliers, 12,000 parts numbers, and seven carriers who bring all these parts by truck to our plant, which results in an inbound of 270 full trucks per day coming in and going out,鈥� Timmermans explained.

鈥淭he automotive industry has a closed loop where packaging material is brought back to the supplier. This means transport can arrive at any moment and within only one hour the driver drops a trailer, picks up another with packaging materials, and leaves the yard,鈥� he added. 鈥淲e have to manage 350 trailers in our yard. Basically, it鈥檚 a warehouse management system for trailers.鈥�

The process to do this was very manual. When a carrier came in, they picked an empty spot in the yard, filled out papers, and took them to the office where the information was put into the system. This was a very labor-intensive and error-prone process, and, as Timmermans explained, 鈥淚f we missed only one trailer, the impact could be dramatic and costly.鈥� A missed trailer of a vital part could harm the production processes and even lead to major stoppages of the plant for a full day, which relies on a just-in-time approach.

The Answer? Warehouses on Wheels

The answer was to analyze business processes. 鈥淲e have a very unique inbound logistics supply chain concept. I think we are the only one of the OEMs in Europe who has control of inbound transport fully in our own hands,鈥� Timmermans said. 鈥淚n our material requirement system, we also integrate the whole of inbound logistics transport planning as part of the , which makes us unique and enables us to have very efficient inbound logistics.鈥�

鈥淲e established a 鈥榳arehouse on wheels鈥� concept, which optimizes our transport efficiency,鈥� he said. 鈥淚nstead of booking a time slot days ahead with the risk of long waiting times at the gate and manual management of documents in the past, carriers can arrive at our plant 24/7, sign in at the gate, get a parking location assigned for the trailer, and receive a note where to pick up an empty trailer with packaging materials.鈥�

Managing the Logistics of the Yard

To get full control and transparency of this warehouse on wheels, VDL Nedcar implemented .

鈥淏ased on聽听补苍诲听, we developed a solution where our six dock master trucks that drive the trailers from the yard to the loading dock and empty back to the yard can be steered fully automatically,鈥� Timmermans explained. 鈥淭he trucks are equipped with industrial flat screens and connected to the solution. All movement triggers are visualized for the dock masters and they get automated priorities for which trailer to transport where, including an optimization algorithm to indicate which truck is close to the trailer to be picked up. Getting this process automated and optimized saved one employee per shift.鈥�

鈥淧reviously, we also did a manual weekly inventory of all trailers on the yard for which we needed one man day per week. That has all gone,鈥� he added.

鈥溌槎乖� Yard Logistics helps us cooperate with our suppliers much better. We have an easier, digitalized, and transparent process at the gate for our carriers, which boosts efficiency, reduces waiting time, and eases administration,鈥� he said.

Tangible benefits听颈苍肠濒耻诲别:

• Increased process transparency
• Reduced administrative effort of one day per week
• Time savings thanks to inventory automation
• Efficiency gains due to automated and digitalized processes on the yard saving one employee per shift
• Reduced waiting time for carriers and enabling them to plan better
• Streamlined and transparent processes at the gate
• Almost no incidents or administrative mistakes
• Standard solution that is integrated with聽

鈥淚n the future, we plan to connect our yard logistics processes with聽 to provide a self-service portal for the carriers, automate gate processes with cameras, and leverage聽聽to get full transparency across the entire supply chain,鈥� Timmermans concluded.

To learn more about how to achieve efficient and sustainable processes with 麻豆原创 Yard Logistics, .

Karin Fent is senior director of Global Customer Success Digital Supply Chain at 麻豆原创.

Vendors were analyzed across procurement, supply chain execution and supply chain planning and, for the second year in a row, 麻豆原创 ranked No. 1 across all three categories.

In addition, 麻豆原创 was also recognized as a Leader in both the 鈥溾�� report and the 鈥溾�� report. These recognitions illustrate 麻豆原创鈥檚 continued influence on the future of resilient digital supply chains.

鈥淚n our opinion, this trio of recognitions from Gartner reflects our commitment to improving outcomes for our customers,鈥� said Franz Hero, head of 麻豆原创 Digital Supply Chain Development. 鈥淲e鈥檝e worked to ensure they are empowered to rapidly respond to changing market conditions, and that invested commitment is being recognized.鈥�

The 麻豆原创 Extended Warehouse Management application helps customers manage high-volume warehouse operations and integrate complex supply chain logistics within their warehouse and distribution processes to deliver visibility and control.

The 麻豆原创 Transportation Management application supports customers across all major industries, with a focus on consumer products, agriculture, mining, construction, chemical and retail. The application helps customers dramatically reduce transportation complexity by integrating fleet and logistics management throughout their network.

Visit the . Follow 麻豆原创 on Twitter at .

Media Contact:
Angela Feher, +1 (347) 882-1689, angela.feher@sap.com, ET
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Gartner, 鈥淢arket Share Analysis: Supply Chain Management Software, Worldwide, 2020,鈥� Balaji Abbabatulla, Satyam ., Neha Gupta, Amarendra , Christian Titze, Micky Keck, 15 July 2021.
Gartner, 鈥淢agic Quadrant for Warehouse Management Systems,鈥� Simon Tunstall, Dwight Klappich, 30 June 2021.
Gartner, 鈥淢agic Quadrant for Transportation Management Systems,鈥� Bart De Muynck, Brock Johns, Oscar Sanchez Duran, Carly West, 30 March 2021.
Gartner does not endorse any vendor, product or service depicted in its research publications and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner鈥檚 Research & Advisory organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. GARTNER and Magic Quadrant are registered trademarks and service marks of Gartner, Inc. and/or its affiliates in the U.S. and internationally and are used herein with permission. All rights reserved.

Any statements contained in this document that are not historical facts are forward-looking statements as defined in the U.S. Private Securities Litigation Reform Act of 1995. Words such as 鈥渁nticipate,鈥� 鈥渂elieve,鈥� 鈥渆stimate,鈥� 鈥渆xpect,鈥� 鈥渇orecast,鈥� 鈥渋ntend,鈥� 鈥渕ay,鈥� 鈥減lan,鈥� 鈥減roject,鈥� 鈥減redict,鈥� 鈥渟hould鈥� and 鈥渨ill鈥� and similar expressions as they relate to 麻豆原创 are intended to identify such forward-looking statements. 麻豆原创 undertakes no obligation to publicly update or revise any forward-looking statements. All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ materially from expectations. The factors that could affect 麻豆原创’s future financial results are discussed more fully in 麻豆原创’s filings with the U.S. Securities and Exchange Commission (“SEC”), including 麻豆原创’s most recent Annual Report on Form 20-F filed with the SEC. Readers are cautioned not to place undue reliance on these forward-looking statements, which speak only as of their dates.
漏 2021 麻豆原创 SE. All rights reserved.
麻豆原创 and other 麻豆原创 products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of 麻豆原创 SE in Germany and other countries. Please see for additional trademark information and notices.

鈥溌槎乖� S/4HANA is the foundation of our company鈥檚 digital transformation and part of our overall strategy and commitment to better serve our customers across the globe,鈥� said Hiroshi Nagumo, president and CEO of TAH. 鈥淚ntegrating vital business processes on one common platform means greater efficiencies, allowing us to continue bringing physicians and their patients the highest quality products and services as we grow.鈥�

Digital Transformation Powers Business Growth

To directly support the company鈥檚 future growth, TAH implemented 麻豆原创 offerings including 麻豆原创 S/4HANA, the 麻豆原创 Master Data Governance application, 麻豆原创 Ariba solutions, the 麻豆原创 Integrated Business Planning for Supply Chain solution, the 麻豆原创 Extended Warehouse Management application, 麻豆原创 SuccessFactors solutions and 麻豆原创 Concur solutions running on 麻豆原创 HANA Enterprise Cloud. This U.S. implementation of 麻豆原创 software is part of Terumo’s global IT initiative, successfully launched in Japan in 2018.

鈥淲ith the implementation of 麻豆原创 S/4HANA, we鈥檙e providing the best practices that our different business units require with the right balance of standardization and configurability 鈥� and the results have been immediate,鈥� said Kalyan Balsubramanian, vice president and chief information officer, TAH. 鈥淔or example, by sharing updated demand information from customers in America, Europe and Canada with our manufacturing facilities in the United States and Japan, we can now better manage our data across our supply chain.鈥�

Project Goals Achieved: On Time, Under Budget, In Compliance

Despite going live at the height of the COVID-19 pandemic, TAH met the challenges with a combination of remote and socially distanced in-person activities, including the training of over 1,500 employees. Additionally, as a life sciences company, TAH鈥檚 implementation was required to meet the industry鈥檚 stringent regulatory compliance mandates.

鈥淭he strategic planning for this transformation was well underway prior to the global pandemic, but we persevered 鈥� with the help and commitment of our employees 鈥� to support future growth,鈥� said Sung Yang, vice president, 麻豆原创 Program Executive at TAH. 鈥淲e met our ambitious goals and are now live with a fully validated implementation. Our processes, software and data are compliant with government regulations and controls.鈥�

TAH鈥檚 experience reflected the tremendous advantage of becoming an 麻豆原创-enabled intelligent enterprise, said Greg Petraetis, 麻豆原创 general manager and senior vice president for the 麻豆原创 Midmarket and Ecosystem in North America.

鈥淐ompanies in every industry need to stay ahead of fast-changing markets and customer demands,鈥� he said. 鈥淏eing able to integrate actionable data across all of business processes 鈥� from manufacturing, supply chain and inventory through procurement, finance, human resources and more 鈥� is how modern business ultimately delivers the right products at the right time to the right customers for competitive advantage.鈥�

Automation Speeds Up Orders with End-to-End Visibility

TAH is now set up for a more efficient, scalable order-to-delivery process. The company鈥檚 healthcare customers have improved visibility into their orders, from initial acknowledgement through tracking notifications and delivery. Using 麻豆原创 S/4HANA, TAH can virtually manage its in-hospital product inventories more effectively, ensuring customers receive devices when needed.

Transformational Partnership for Strong Future

Now that 麻豆原创 solutions touch every part of operations across TAH, the company is looking to the next phase of transformation, eventually expanding to supporting business operations worldwide.

鈥溌槎乖� is a great partner for our digital journey, effectively collaborating with our teams and other important partners to bring our business into a single source of truth,鈥� said Rick Larrieu, vice president of Global IT Applications and Infrastructure at TAH. 鈥淲ith these investments, we can better serve our customers and their patients, while increasing our operational efficiency.鈥�

Visit the 麻豆原创 News Center. Follow 麻豆原创 on Twitter at .

About 麻豆原创

麻豆原创鈥檚 strategy is to help every business run as an intelligent enterprise. As a market leader in enterprise application software, we help companies of all sizes and in all industries run at their best: 77 percent of the world鈥檚 transaction revenue touches an 麻豆原创 system. Our machine learning, Internet of Things (IoT) and advanced analytics technologies help turn customers鈥� businesses into intelligent enterprises. 麻豆原创 helps give people and organizations deep business insight and fosters collaboration that helps them stay ahead of their competition. We simplify technology for companies so they can consume our software the way they want 鈥� without disruption. Our end-to-end suite of applications and services enables business and public customers across 25 industries globally to operate profitably, adapt continuously, and make a difference. With a global network of customers, partners, employees and thought leaders, 麻豆原创 helps the world run better and improve people鈥檚 lives. For more information, visit

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Any statements contained in this document that are not historical facts are forward-looking statements as defined in the U.S. Private Securities Litigation Reform Act of 1995. Words such as 鈥渁nticipate,鈥� 鈥渂elieve,鈥� 鈥渆stimate,鈥� 鈥渆xpect,鈥� 鈥渇orecast,鈥� 鈥渋ntend,鈥� 鈥渕ay,鈥� 鈥減lan,鈥� 鈥減roject,鈥� 鈥減redict,鈥� 鈥渟hould鈥� and 鈥渨ill鈥� and similar expressions as they relate to 麻豆原创 are intended to identify such forward-looking statements. 麻豆原创 undertakes no obligation to publicly update or revise any forward-looking statements. All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ materially from expectations. The factors that could affect 麻豆原创’s future financial results are discussed more fully in 麻豆原创’s filings with the U.S. Securities and Exchange Commission (“SEC”), including 麻豆原创’s most recent Annual Report on Form 20-F filed with the SEC. Readers are cautioned not to place undue reliance on these forward-looking statements, which speak only as of their dates.
漏 2020 麻豆原创 SE. All rights reserved.
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麻豆原创 believes the recognition demonstrates its ability to help global businesses stay resilient in times of supply chain disruption with its customer-centric products.

According to recent reports, 麻豆原创 has been:

• Placed in the Leaders Quadrant of the Gartner 鈥淢agic Quadrant for Warehouse Management Systems鈥� for the sixth time in a row
• Placed in the Leaders Quadrant of the Gartner 鈥淢agic Quadrant for Transportation Management Systems鈥� for the sixth year in a row
• Ranked by Gartner as the number one market share leader in supply chain management software, worldwide, for the 18th year in a row
• Ranked by IDC as number one by market share for supply chain management applications

Additionally, all of the and all four of the Gartner Supply Chain Masters are 麻豆原创 customers.

鈥淎s 2020 has shown us, supply chain disruptions can present immediate and long-lasting threats without warning,鈥� said Franz Hero, head of development for 麻豆原创 Digital Supply Chain. 鈥淐ompanies must operate resilient supply chains that are agile, predictive and intelligent in order to make informed decisions quickly and confidently. These third-party recognitions show 麻豆原创鈥檚 leadership in helping organizations continue moving forward 鈥� even in times of disruption.鈥�

According to Gartner: 鈥淭he supply chain management software market grew 8.6% in 2019, exceeding $15 billion in vendor revenue. Cloud revenue grew 2.5 times faster than the overall market, accounting for nearly 34% of the market as all leading vendors transitioned their new product strategy to cloud.鈥�* In the same report, 麻豆原创 ranked as the number one market share leader in supply chain management software, worldwide.

Gartner鈥檚 2020 鈥淢agic Quadrant for Warehouse Management Systems鈥�** report lists 麻豆原创 in the Leaders Quadrant for its SCM extended warehouse management solution. The application covers all the facets of warehouse and distribution management, including multichannel fulfillment and distribution, inventory management and control, cross-docking, labor management and billing for companies of all sizes and industries.

Gartner鈥檚 2020 鈥溾�濃�� report lists 麻豆原创 in the Leaders Quadrant for its transportation management solution. The application, which experienced significant revenue growth in 2019, reduces transportation complexity dramatically by integrating fleet and logistics management throughout networks.

In its 鈥淚DC Semiannual Software Tracker 2019H2,鈥濃�犫�� published in April 2020, IDC again ranked 麻豆原创 number one in supply chain management revenue and overall market share.

Visit the . Follow 麻豆原创 on Twitter at .

Media Contact:
Angela Feher, +1 (347) 882-1689, angela.feher@sap.com, ET
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Gartner Disclaimer: Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner鈥檚 research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

*Gartner, 鈥�,鈥� Hai Swinehart, Balaji Abbabatulla, June 2020.
**Gartner, 鈥淢agic Quadrant for Warehouse Management Systems,鈥� Simon Tunstall, Dwight Klappich, May 2020.
鈥燝artner, 鈥�,鈥� Bart De Muynck, Brock Johns, Oscar Sanchez Duran, March 2020.
鈥犫�營DC Semiannual Software Tracker 2019H2 Final Historical, April 2020. Supply Chain Management Applications is an IDC secondary market. Based on 2019 Worldwide Revenues. IDC declares a statistical tie in the worldwide software market when there is a difference of 0.5 percentage-point or less in rounded revenue market share among two or more vendors.

Any statements contained in this document that are not historical facts are forward-looking statements as defined in the U.S. Private Securities Litigation Reform Act of 1995. Words such as 鈥渁nticipate,鈥� 鈥渂elieve,鈥� 鈥渆stimate,鈥� 鈥渆xpect,鈥� 鈥渇orecast,鈥� 鈥渋ntend,鈥� 鈥渕ay,鈥� 鈥減lan,鈥� 鈥減roject,鈥� 鈥減redict,鈥� 鈥渟hould鈥� and 鈥渨ill鈥� and similar expressions as they relate to 麻豆原创 are intended to identify such forward-looking statements. 麻豆原创 undertakes no obligation to publicly update or revise any forward-looking statements. All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ materially from expectations. The factors that could affect 麻豆原创’s future financial results are discussed more fully in 麻豆原创’s filings with the U.S. Securities and Exchange Commission (“SEC”), including 麻豆原创’s most recent Annual Report on Form 20-F filed with the SEC. Readers are cautioned not to place undue reliance on these forward-looking statements, which speak only as of their dates.
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麻豆原创 and other 麻豆原创 products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of 麻豆原创 SE in Germany and other countries. Please see for additional trademark information and notices.

At 麻豆原创 App Center, customers discover, try and buy trusted partner apps that either extend or are built on 麻豆原创 solutions. 麻豆原创 Data Warehouse Cloud is an end-to-end data and analytics solution that allows users to make confident business decisions based on fast and easy access to trusted data. Hundreds of partners aim to help businesses quickly innovate and deploy on .

鈥溌槎乖� Data Warehouse Cloud, a key component of our just released Business Technology Platform, is an out-of-the-box enterprise-ready data warehouse that brings people and information together,鈥� said Gerrit Kazmaier, president, 麻豆原创 HANA and Analytics, 麻豆原创 SE. 鈥淭o ensure customers quickly gain insights from 麻豆原创 Data Warehouse Cloud, we offer prebuilt business content packages comprised of end-to-end business scenarios that answer key business and technical questions. Our partner ecosystem plays a critical role in creating these business content packages to meet growing customer demand in all industries and for all lines of business.鈥�

The new prebuilt content consists of data connectors and business scenarios for companies looking for insights from their data. The includes business content from 麻豆原创 centered on the retail industry. New content packages are also now available from partners on , including:

• CubeServ AG:To run smoothly and efficiently, procurement departments rely heavily on accessing high-quality purchasing data. , in tandem with 麻豆原创 Data Warehouse Cloud, provides an instant overview and detailed analysis of any discernable procurement irregularities.
• Inspired Intellect: Superior customer experience and maximized revenue are two key results achieved by efficiently managing order shipments. The first 麻豆原创 partner solution to integrate the 麻豆原创 Data Intelligence solution and 麻豆原创 Data Warehouse Cloud, uses ML and AI to preempt shipment delays. The solution mitigates other risks associated with order fulfillment through optimized logistics, better distribution planning and proactive customer communications.
• Key Performance Consulting LLC: is an automatic attendance analysis solution that runs on the 麻豆原创 Analytics Cloud solution and 麻豆原创 Data Warehouse Cloud. HR Cockpit transforms daily employee data into a model with multiple language options to generate a detailed visualization of employee attendance.
• Rizing LLC: is an integrated capacity planning (ICP) solution built on 麻豆原创 Data Warehouse Cloud. It integrates with the 麻豆原创 SuccessFactors Employee Central and 麻豆原创 Enterprise Asset Management solutions to help businesses track real-time labor capacity and predict skills gaps, which organizations need to prepare for and manage.
• s-peers AG: All companies monitor basic financial metrics, such as profits and losses, but many need to get deeper insights from financial data. The by s-peers combines 麻豆原创 Data Warehouse Cloud with the 麻豆原创 Business One solution to obtain detailed answers to complex business questions in real time.
• Westernacher Consulting GmbH: Companies running multiple warehouse locations with different IT systems require a central warehouse monitoring solution to guide business operations. The content package connects to the application and to any data warehousing solution to reduce product distribution costs. It includes a set of KPIs to help businesses get up and running quickly.

Read to see how customers of 麻豆原创 Data Warehouse Cloud can identify and connect with partners directly.

麻豆原创 Data Warehouse Cloud is available for free trial and purchase on the online marketplace. For more information, .

Visit the . Follow 麻豆原创 on Twitter at .

Media Contacts:
Scott Malinowski, +1 (781) 852-3822, scott.malinowski@sap.com, ET
Cindy McKendry, +1 (503) 231-7274, cindy.mckendry@sap.com, PT
麻豆原创 麻豆原创 Room; press@sap.com

Any statements contained in this document that are not historical facts are forward-looking statements as defined in the U.S. Private Securities Litigation Reform Act of 1995. Words such as 鈥渁nticipate,鈥� 鈥渂elieve,鈥� 鈥渆stimate,鈥� 鈥渆xpect,鈥� 鈥渇orecast,鈥� 鈥渋ntend,鈥� 鈥渕ay,鈥� 鈥減lan,鈥� 鈥減roject,鈥� 鈥減redict,鈥� 鈥渟hould鈥� and 鈥渨ill鈥� and similar expressions as they relate to 麻豆原创 are intended to identify such forward-looking statements. 麻豆原创 undertakes no obligation to publicly update or revise any forward-looking statements. All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ materially from expectations. The factors that could affect 麻豆原创’s future financial results are discussed more fully in 麻豆原创’s filings with the U.S. Securities and Exchange Commission (“SEC”), including 麻豆原创’s most recent Annual Report on Form 20-F filed with the SEC. Readers are cautioned not to place undue reliance on these forward-looking statements, which speak only as of their dates.
漏 2020 麻豆原创 SE. All rights reserved.
麻豆原创 and other 麻豆原创 products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of 麻豆原创 SE in Germany and other countries. Please see for additional trademark information and notices.