Behind the scenes, retailers struggle to deliver these experiences due to fragmented, outdated, and incomplete data that makes real-time decision-making nearly impossible and hampers engagement, operational efficiency, and, ultimately, profitability.

The hidden costs of disconnected data

When retailers鈥� data exists in silos, the problem is compounded from all angles. With sales, inventory, marketing, and customer engagement data living in separate systems, retailers lack the clear view of customer behavior and business insights they need to respond with critical actions in real time. Lack of context within the data means businesses struggle to extract meaningful insights.

Consider the impact:

• Limited inventory visibility leads to stockouts and overstocks, frustrating customers and eroding profits.
• Lack of real-time insights hinders personalized customer engagement, diminishing loyalty.
• Disconnected operations make omnichannel fulfillment鈥攕uch as buy online, pick up in-store (BOPIS) or hassle-free returns鈥攄ifficult to execute smoothly.

At a moment when retailers must optimize every facet of their business to remain competitive, a unified data strategy isn鈥檛 optional鈥攊t’s essential.

A data-driven future: Turning insights into action

To break these silos, retailers need a unified data foundation鈥攐ne that consolidates insights across all customer touchpoints, enabling real-time intelligence and business agility. 麻豆原创 Business Data Cloud (麻豆原创 BDC), as recently announced, is an integrated solution that can bring data together from all sources, owned and external, to help create a single, trusted source of truth.

With 麻豆原创 Business Data Cloud, retailers can have the total picture of data from sales, inventory, marketing, loyalty, service, and near-real-time statuses of third-party logistics.

With this holistic view, retailers can:

• Enable seamless cross-channel fulfillment, such as buy online, pick up in-store or return anywhere.
• Optimize operational efficiency for everything from intelligent sourcing and promotional planning to inventory visibility and availability across sales channels.
• Personalize customer engagement by leveraging data-driven insights to boost loyalty and increase revenue.

By shifting to a data-first approach, retailers can move beyond managing transactions to driving intelligent, customer-centric experiences for long-term loyalty and growth.

Why physical stores still matter鈥攎ore than ever

Despite the rise of e-commerce, more than 80% of retail interactions still take place in physical stores. Brick-and-mortar locations remain central to the retail journey, yet, as retailers鈥� largest cost center, they also encompass the biggest operational challenges鈥攆rom inventory carrying costs to labor and store operations.

Although today鈥檚 consumers are fluid in how they shop鈥攔esearching products across multiple platforms or buying online and picking up in-store, for example鈥攖hey still expect accurate, real-time visibility into inventory wherever they engage. In this landscape, data is the lifeblood that allows retailers to orchestrate orders, manage workflows, and ensure that customers can trust the information they see. Yet, according to , 51% of U.S. brands say their organization suffers from “dark data,” which is data that is collected but not effectively used.

To remain competitive, retailers must harness real-time transactional insights to optimize store efficiency, maximize revenue, and provide seamless customer interactions.

Bringing it all together: Intelligent order management

Retailers don鈥檛 just need data鈥攖hey also need actionable, real-time intelligence that helps them drive smarter decision-making. That鈥檚 why 麻豆原创 is integrating advanced order management capabilities as part of our broader data-driven customer experience strategy. 麻豆原创 has a long history of helping thousands of retail and B2C customers manage vast amounts of data. Today we鈥檙e tailoring this expertise, trusted by market leaders worldwide, to help meet the scale, flexibility, and time-to-value required by fast-growing organizations.

As part of the bundle, we are launching the 麻豆原创 Omnichannel Sales Transfer and Audit solution today at in Las Vegas, Nevada. This modular, cloud-native solution can empower retailers with real-time visibility into transactions and inventory, helping to reduce friction and improve customer satisfaction. 麻豆原创 Omnichannel Sales Transfer and Audit can unify POS data from multiple systems, process high-volume transactions in real time, and help ensure inventory accuracy across all channels to improve stock availability, financial reporting, and customer engagement鈥攚ithout the burden of complex, custom-built integrations.

Apart from omnichannel sales and audit capabilities, the 麻豆原创 Order Management Services bundle also includes additional modular, cloud-native capabilities including and the . The 麻豆原创 Order Management Services bundle is natively connected with 麻豆原创 S/4HANA, which can enable retail and consumer products organizations and other consumer brands to unlock real-time inventory visibility, streamline fulfillment, and reduce operational costs without complex and costly custom integrations. And, integrated with 麻豆原创 S/4HANA Cloud Public Edition, retail, fashion, and vertical business, announced at NRF earlier this year, the cloud-native capabilities of the 麻豆原创 Order Management Services bundle can be even more scalable, secure, compliant, and affordable, enabling retailers to realize value more quickly than ever before.

Other benefits of 麻豆原创 Omnichannel Sales Transfer and Audit include:

• Seamless POS integration can connect multiple POS systems with different data structures, working to eliminate silos and ensure data accuracy.
• Real-time inventory updates help keep omnichannel inventory accurate so customers can trust what they see online matches what’s available in-store.
• Smarter data processing and configurable data transfer and aggregation help update inventory, financials, and even loyalty programs effortlessly.
• Optimized sales data validation process can automate checks that are executed through configurable workflows.

By embracing a unified data strategy, retailers can eliminate complexity, reduce costs, and unlock new opportunities for growth鈥攁ll while delivering the frictionless experiences today鈥檚 consumers expect.

Hornbach: The future of omnichannel retail in action

For Hornbach, one of the largest DIY stores in Germany, . It needs to be able to add new channels quickly鈥攁nd to maintain a seamless customer experience over all channels. Hornbach adopted 麻豆原创 Order Management Services as a foundation for this vision, enabling the flexibility to address new markets quickly, connect new systems, process orders rapidly and efficiently, and adopt new innovations. With the addition of 麻豆原创 Omnichannel Sales and Transfer Audit, the Hornbach team expects to get more visibility in day-to-day operations, like checking fraud detection and the completeness of transactions.

鈥淭he most exciting thing will be the combination of all these new technologies we鈥檙e seeing: artificial intelligence, event-driven architecture, as well as native cloud solutions,鈥� said Carsten Mueller, head of Enterprise Architecture and Security, Hornbach. 鈥淭he combination will give Hornbach great power in the next year.鈥�

The future of retail is data-driven

The retail industry is evolving at an unprecedented pace, with AI redefining how businesses operate and interact with customers. According to the same 麻豆原创 Emarsys report, 89% of U.S. consumer product marketers believe AI will be essential for engaging new customers. However, the effectiveness of AI hinges on the reliability and accuracy of the data it processes.

Retailers that embrace AI-powered data intelligence will lead the next era of omnichannel excellence. The future isn鈥檛 just about connecting data鈥攊t’s about activating it in real time to drive seamless customer interactions.

To stay ahead, retailers must:

• Invest in AI-driven analytics to predict demand, optimize pricing, and personalize engagement at scale.
• Implement intelligent order and transaction management to automate fulfillment, reduce friction, and improve supply chain agility.
• Leverage AI-powered customer insights to create hyper-personalized experiences that drive loyalty and lifetime value.
• Enable real-time inventory intelligence to ensure products are available where and when customers need them.

As omnichannel complexity grows, brands that fail to unify their data risk falling behind. 麻豆原创 Business Data Cloud and intelligent order management solutions can provide the foundation for a future-proof transformation. As AI continues to evolve, retailers must shift from reactive decision-making to proactive, predictive commerce, where every transaction is optimized for efficiency and profitability.

The future of retail is here. Those who harness AI to unify, analyze, and act on their data will define the next generation of customer experience and retail success. I鈥檓 excited to partner with companies navigating this transformation and empower them to seize new opportunities for success.

Want to learn more? Stay tuned to see how leading retailers are leveraging 麻豆原创鈥檚 data-driven approach to optimize their operations and stay ahead of the competition and learn more about .

Balaji Balasubramanian is president and chief product officer for 麻豆原创 Customer Experience and Consumer Industries.

We are leaving the biggest retail event of the year with so much excitement for what鈥檚 to come for the 麻豆原创 Customer Experience portfolio this year. Here鈥檚 a look into 麻豆原创 CX innovations for 2025.

Data-Driven Loyalty Management Solution

We announced a new loyalty management solution that helps brands earn the loyalty of their customers using experiential journeys and personalized, real-time offers.

Creating loyalty is key to profitable growth; however, lasting loyalty has been illusive to many brands. According to the , there are diverse motivations among consumers that drive brand loyalty. Forty-percent credit their loyalty to long-standing reputations, 30 percent say brand consistency is what brings them back, and 22 percent say it鈥檚 because of a brands iconic status. Yet, despite this loyalty, only 17 percent of consumers feel 鈥渢ruly valued,鈥� leaving the majority wanting more.

Helping consumers feel truly valued is no small feat. Traditional reward redemption methods focus only on customers who actively join loyalty programs, and that is no longer enough. Brands are innovating loyalty programs to create a sense of nostalgia, community, and devotion that delivers a memorable experience through personalized offers across the entire life cycle and on every channel.

The new loyalty solution from 麻豆原创 aims to equip organizations with experiential journeys and personalized, real-time offers to help earn customer loyalty through integration with the 麻豆原创 Commerce Cloud, 麻豆原创 Service Cloud, 麻豆原创 Emarsys and 麻豆原创 S/4HANA Cloud Public Edition, retail, fashion, and vertical business solutions. Key features that enable this are:

• Loyalty profiles that connect every shopper with a cloud-based loyalty wallet, facilitating targeted and personalized offers, entitlements, and real-time basket analysis
• Multi-brand loyalty management, as well as shared loyalty programs with partners that centralize loyalty programs across regions and markets, enabling combined brand programs for gaining market share
• A single place for omnichannel promotion planning with real-time redemption to deliver any type of offer, digital payment, and gifting to all customers on any channel
• Loyalty journey planning that delivers experiential omnichannel journeys tailored to customer needs through personalized commerce, marketing, service, and retail interactions
• Quantifiable metrics that track promotion performance and loyalty-related liabilities, linking to financial systems to measure ROI, and enable settlements with the member and partner brands

We are currently recruiting customers for a lighthouse program, and interested customers can learn more by contacting Yaron Gur-Ari. The solution is expected to be available in the second half of 2025.

Artificial Intelligence Makes Shopping Frictionless

We are also launching an AI shopping assistant to make e-commerce search and discovery a lot easier for customers.

Search abandonment is a real challenge. According to a 2023 Google research report, retailers face more than a . And to add insult to injury, search challenges also serve a huge blow to customer loyalty, with 78 percent of consumers viewing brands differently and 82 percent of consumers saying that they would avoid websites where they鈥檝e experienced search difficulties.

With the AI shopping assistant, users can now deliver that white-glove experience to their customers online. For industrial buyers, it acts as a technical specialist — helping source specific replacement parts, comparing complex specifications, and suggesting compatible components. For retail customers, it serves as a personal shopper — understanding style preferences, recommending complementary accessories, and answering detailed product questions.

The assistant seamlessly integrates with 麻豆原创 Commerce Cloud through a flexible API, allowing users to easily plug it into new or existing storefront while maintaining the brand experience. With built-in security and support for multiple languages, it is designed to deliver sophisticated product discovery at scale.

The AI shopping assistant, as part of the , is available for early access now and will be generally available in March of 2025 for 麻豆原创 Commerce Cloud customers.

Effortless Payment Service Integration

We previously announced a new composable payment solution, 麻豆原创 Commerce Cloud, open payment framework, that helps retailers continue to scale and remain agile as new payment options gain popularity.

Open payment framework is a no-code, low-code framework that gives retailers a low-cost, adaptive, and agile payments system that can best fit their business and customer needs without the need to build out integrations on their own. Extensible and headless, the framework ensures that the front and back ends are decoupled and operate independently, catering to a wide range of requirements across channels and allowing customers to have the freedom to pick their preferred payment methods. It covers common payment needs and end-to-end payment processes across authorization, capture, refunds, and re-authorization as well as automatic updates with security and compliance standards. Open payment framework is natively integrated with 麻豆原创 Commerce Cloud.

Open payment framework is planned for general availability on January 22, 2025. Customers can .

Intelligent Search Service Makes Product Discovery Easier

The intelligent search service is a modern, multi-tenant SaaS solution designed to deliver seamless, AI-powered search experiences for both shoppers and business users. Key benefits that empower end-to-end commerce journeys are:

• Effortless product discovery for shoppers on the storefront with natural, intuitive search capabilities, enhanced by AI-driven verbatims, flexible indexing, and intelligent scoring. Features like smart word suggestions and personalized recommendations help showcase the most relevant products, improving navigation and driving higher satisfaction.
• Search operation management with ease for business users through back-office processes that enable data-driven merchandising strategies, powered by integration with intelligent selling services. This ensures measurable impact and optimization of search experiences.

By combining modern technology with AI, the intelligent search service maximizes conversion rates and product views, delivering a natural and intuitive shopping experience. It helps retailers not only enhance customer satisfaction but also build long-term loyalty and lifetime value.

The service is planned for general availability on January 22, 2025. Customers can .

At 麻豆原创, we are committed to empowering businesses to deliver exceptional customer experience while driving profitable growth. By leveraging connected, insightful, and adaptive technology solutions, we help our customers put their customers at the center of their operations to build loyalty, foster innovation, and unlock new opportunities for success.

To learn more about 麻豆原创 CX, visit .

Balaji Balasubramanian is senior vice president and global head of Commerce and Industry Cloud at 麻豆原创.

• 麻豆原创 also debuts solutions to address loyalty gap as new survey results show 80% of U.S. consumers feel undervalued by brands

NEW YORK 鈥� (NYSE: 麻豆原创) announced a slate of new solutions and capabilities catering to the retail industry at , the flagship industry event hosted by the National Retail Federation.

麻豆原创鈥檚 top news is the general availability of the 麻豆原创 S/4HANA Cloud Public Edition, retail, fashion, and vertical business solution. This enterprise resource planning (ERP) solution is built specifically for retailers and marks a significant milestone in bringing tailored ERP capabilities to retailers of all sizes worldwide.

鈥溌槎乖粹�檚 announcement of an all-in-one platform tailored for retail represents a meaningful differentiator in the market,鈥� said Leslie Hand, Group Vice President for IDC Retail Insights. “Retailers often struggle with fragmented solutions that excel in some areas but cannot deliver the end-to-end integration necessary for seamless retail operations.”

鈥淲颈迟丑 , 麻豆原创 brings the same best-in-class functionality trusted by market leaders and recognized worldwide, now tailored to meet the scale, price and time-to-value required by fast-growing organizations,鈥� said Balaji Balasubramanian, senior vice president and global head, Commerce and Consumer Industries at 麻豆原创 SE. He added that retailers, in order to deliver personalized experiences, need an ERP system with retail-specific processes and capabilities that are tailored to the complexities of merchandising, store operations, and retail supply chains. Balasubramanian notes that generic ERP systems lack these end-to-end retail processes and aren鈥檛 flexible enough for today鈥檚 digital consumer.

麻豆原创鈥檚 latest offering addresses these challenges through a solution built on the flexibility of public cloud architecture that unifies industry-specific processes, data and AI and offers out-of-the-box integrations. It also provides a comprehensive suite of capabilities designed to streamline processes, enhance customer experiences and drive sustainable growth. The new platform offers integrated management of finance, procurement and merchandising, with unified operational data and ready-to-use AI.

New loyalty solution to feature data-driven personalization

麻豆原创 also announced a new loyalty management solution aimed at retailers and consumer packaged goods companies, scheduled for release in the second half of 2025.

According to , four in five (83%) U.S. consumers feel undervalued by the brands they remain loyal to, with many questioning their loyalty altogether. This new solution aims to equip organizations with experiential journeys and personalized, real-time offers to help earn customer loyalty through integration with the 麻豆原创 Commerce Cloud, 麻豆原创 Service Cloud, 麻豆原创 Emarsys and 麻豆原创 S/4HANA Cloud Public Edition, retail, fashion, and vertical business solutions.

Key features include:

• Loyalty profiles that connect every shopper with a cloud-based loyalty wallet, facilitating targeted and personalized offers, entitlements, and real-time basket analysis.
• Multi-brand loyalty management, as well as shared loyalty programs with partners that centralize loyalty programs across regions and markets, enabling combined brand programs for gaining market share.
• A single place for omnichannel promotion planning with real-time redemption to deliver any type of offer, digital payment and gifting to all customers on any channel.
• Loyalty journey planning that delivers experiential omnichannel journeys tailored to customer needs through personalized commerce, marketing, service and retail interactions.
• Quantifiable metrics that track promotion performance and loyalty-related liabilities, linking to financial systems to measure ROI, and enable settlements with the member and partner brands.

Artificial intelligence to make online shopping easier than ever

麻豆原创 also announced the general availability of an AI shopping assistant in the first half of 2025. This intelligent assistant, delivered with the , expands the existing AI capabilities of 麻豆原创 Commerce Cloud, transforming the online shopping experience through natural language conversations that help customers quickly find exactly what they need.

Visit the . Follow 麻豆原创 at .

Media Contact:
Mallory Kuno, +1 (425) 239-9362, mallory.kuno@sap.com, ET

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 2023 Annual Report on Form 20-F.
漏 2025 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.

Businesses are looking at the transformative power of business AI to help them adapt to rapid market changes, grow customer loyalty and profitability, and get tangible outcomes. Yet, it can be challenging for business leaders to separate the hype from reality and we at 麻豆原创 Customer Experience (CX) remain committed to helping. We showcased customer stories with some of the biggest brands in the world that have transformed their customer experiences using our products. We are riding a wave of momentum, having introduced an impressive 600 new innovations to our customers in the last year.

At 麻豆原创, we take a holistic and integrated approach to customer experience with our composable and scalable solutions. We align people, processes, and technology across the customer journey to help enhance profitability and shareholder value while ensuring an exceptional customer experience. Our solutions are based on the four pillars of and built with the highest standards of trust, privacy, AI ethics, and security. We create a comprehensive and ethical foundation for customer-centric CX with measurable business results.

The four pillars of intelligent CX are:

• Connected by design, seamlessly uniting operational and experience data and processes, helping you deliver delightful holistic experiences that span back and front office while safeguarding your TCO
• Insightful by enabling you to rapidly turn your most critical asset data into proactive and contextual insights that drive real business outcomes 鈥� intelligent CX helps you start on your AI journey today with meaningful generative AI capabilities infused across the entire solution portfolio
• Adaptive by allowing you to experiment with agility through our hybrid composability approach by extending 麻豆原创鈥檚 core capabilities with a plethora of carefully curated, pre-integrated, and certified partner solutions, helping take the guesswork out of these crucial decisions
• Industry-tailored by applying deep industry context, experience, and knowledge of over 25 industries 鈥� coupled with our rich, curated partner ecosystem, 麻豆原创 CX solutions can support end-to-end blueprints that are tailored to the unique needs of your industry and its customers

With these pillars, we have been hard at work bringing innovative features to our customers. Here鈥檚 a closer look at some of them.

Enrich the Customer Experience for Maximized Loyalty and Interaction Value

AI Shopping Assistant

Transform your B2B and B2C storefronts with 麻豆原创’s new AI shopping assistant. This cutting-edge technology can act as a shopper’s personal product expert, uncovering subtle details and complex information often hidden in user manuals or specifications through natural conversation. By engaging with shoppers on your storefront, it helps identify their specific needs and can offer detailed recommendations and insights to make it easy for them to find the right product.

Agility and Experimentation for Enterprise Merchants in 麻豆原创 Commerce Cloud

Enterprise merchants have historically struggled to balance agility and compliance in commerce. These new capabilities can enable them to be more innovative and agile while still experiencing the reliability that they have come to expect from .

Conversational Messaging

Marketing teams can now engage customers with conversational messaging. They can send customized one-way messages, automated responses, and engage in two-way interactions with customers on their preferred chat application.

Rev Up Productivity with AI-Driven Tools

Enterprise Service Management

Organizations can now break down operational silos, curb redundant processes, and automate tasks to serve their internal and external customers in more effective, efficient, and personalized ways.

AI Image Creation

Commerce and marketing teams can now easily create engaging and personalized product images, using natural language to produce new product photos or make seamless edits to existing images, including changing or completely removing backgrounds. As a result, their product visuals can better reflect their brand’s identity, enhance the customer experience, and reduce costs.

AI Expert Recommendations

Sales, service, and commerce teams can quickly find the right subject-matter experts to answer customer queries and concerns. Rather than sifting through e-mails, notes, team messages, and org charts, CX teams can now easily type questions using natural language and receive recommendations on who within their organizations is best equipped to provide insights and answers.

AI Segment and Content Generation

Marketing teams can now easily create, copy, or insert new content from the catalog. Additionally, they can generate simple, understandable descriptions for existing segments or create new segments using natural language prompts.

Grow Profitably with Generative AI Innovation

AI for 麻豆原创 Sales Cloud

Empower your sales team with AI capabilities that can anticipate, automate, and personalize customer experiences.

Predictive Forecasting

Predictive forecasting can give CROs and sales executives a more accurate view of sales performance and revenue forecasting by using AI to predict the likelihood of deals closing across the entire business portfolio.

Predictive Product Recommendation

Predictive product recommendations can empower sales teams with insights into what are the right products to pitch to customers.

AI Account Summary and Lead Booster

AI-based account summary and lead booster insights use both internal and external sources to help provide sales teams with the news, background, and information they need to have informed prospect outreach and ongoing deal management.

AI Order Insights

AI order insights from help surface order information from 麻豆原创 ERP in a highly consumable way in the platform sales teams use every day, so they can be prepared to answer customer questions quickly and efficiently.

Custom Generative AI Tools and Data Sources in 麻豆原创 CX AI Toolkit

Enhance your customer experience with AI customized for your business. Leverage your CX data to create, customize, and deploy secure and trusted AI tools that help generate relevant content aligned with your business needs. Furthermore, integrate your own knowledge base and data sources to power generative answering for sales, service, and commerce teams. Don’t be limited by pre-built solutions 鈥� build AI that reflects your unique customer journey.

The innovations we unveiled at 麻豆原创 Sapphire are a testament to our commitment to drive tangible business outcomes and bring out your best customer experience. These innovations are available now or will be available in H2 2024. In addition, we have many more exciting offerings in the pipeline. Brace yourself for an exciting journey ahead with our next-gen CX solutions and stay tuned for more developments on the horizon!

Find out more about these innovations .

Ritu Bhargava is president and chief product officer for 麻豆原创 Industries and Customer Experience.

How can I increase sales without raising overhead? How can I create year-round stability for sourcing, inventory, restocking, and order management? And how can I build better omnichannel brand connections in a competitive market where听?

Yet, with AI-enabled advances opening a world of possibilities for operational efficiencies and hyper-personalized, real-time, omnichannel customer experiences, the future of retail is anything but bleak!听

AI is set to level up the retail landscape. Retailers that embrace AI will be the first to achieve higher sales and better brand connections — now and in the future. Much of this adoption will be driven by the need to resonate with savvy consumers who want to buy from brands that share their values and offer experiences that blend seamlessly into their online and IRL (“in real life”) lifestyles.

The strategic use of AI — infused with operational, customer, and third-party data — can help retailers deliver experiences that genuinely emanate from and fit snugly into their customers鈥� everyday lifestyles.听听

At 麻豆原创, we use business AI to help companies optimize business processes, drive profitability, and boost customer loyalty. How can AI help retailers accomplish all that? Here are a few challenges we鈥檒l helping retailers solve at听.听听

Driving Profitability with AI-Powered Operations听

It goes without saying: If the customer can鈥檛 find the right product, there is no sale. Poor product discovery can result from the complexity of managing product catalogs, which leads to inaccuracies, poor recommendations, and reduced conversion rates. Inconsistent product tagging and inaccurate descriptions, which are often handled manually by key account or merchandising managers, can ensure products are hidden beyond customers鈥� reach.听听

AI can alleviate these headaches and streamline product catalog management, improving product data accuracy and delivering a more personalized shopping experience to boot. The 麻豆原创 CX AI Toolkit is a single generative AI layer powered by data from across 麻豆原创 products. Built on proprietary AI models and fine-tuned large language models (LLMs), it surfaces in e-commerce features in 麻豆原创 Commerce Cloud. The toolkit renders catalog management challenges painless with:听

• AI Product Tagging: The 麻豆原创 CX AI Toolkit analyzes catalog images and text to tag products within a catalog automatically. The tagging system ensures that each product is appropriately categorized and labeled, reducing errors and inconsistencies.听
• AI Product Descriptions: The toolkit leverages AI to generate personalized and compelling product descriptions. By analyzing product attributes, it can automatically create product descriptions that resonate with customers and provide the details for more informed purchasing decisions, enhancing customer experience and increasing sales.听
• Bulk Editing: Bulk editing of product tags and descriptions allows the quick and efficient update of large catalogs, ensuring that customers are presented with relevant and complementary products. Automating these time-consuming tasks frees catalog managers for higher-value work.听

Optimizing Operations with AI-Informed Logistics 

Getting products to customers necessitates having the right products in the right amounts at the right time. Issues like cost-to-ship, delivery timelines, pick-and-pack expenses, and capacity management can turn into perennial roadblocks that lower efficiency for inventory and sourcing management. Big challenges include consistently managing stock levels for cost efficiency, simulating sourcing strategies for sustainability and margin improvement, and delivering the best solutions to enhance customer satisfaction.

One example of this difficult balancing act is the need for retailers to optimize the return process while proactively managing orders.听听

AI can play an invaluable role in efficiently managing inventory and sourcing by tailoring sourcing strategies. In 麻豆原创 Order Management Services, AI is integrated to do just that, using key performance indicators (KPIs) such as cost-to-ship, delivery timelines, and pick-and-pack expenses. With target value, significance weight, and optional constraint for each KPI, retailers can uncover the most effective sourcing strategy and simulate single orders based on these strategies.听听

Beyond inventory and sourcing, AI can improve predictive order management and streamline the return process, enhancing overall efficiency and customer satisfaction. 

Meanwhile, the proliferation of channels makes mastering omnichannel advertising and sales a daunting challenge, but if retailers are not advertising where customers are, there鈥檚 no chance of making a brand connection. Fortunately, retailers can increase their omnichannel excellence with targeted ad solutions such as TikTok and LinkedIn integrations for digital ads听from 麻豆原创 Emarsys Customer Engagement.

However strong your omnichannel game is, the opportunity to strengthen brand loyalty and drive repeat purchases drops severely when distribution problems prevent timely delivery. If, for example, a customer cannot get听those听specific shoes from their “For You Page” (FYP) in time for a big event, there will be no sale.听听

For distribution centers, balancing conflict goals such as reducing logistic costs and managing supply chain constraints and supplier restrictions can make achieving efficient fulfillment with optimal order quantities and minimal manual intervention feel out of reach. Enter the power of AI to solve complex constraints at multiple levels and ensure retailers can get products to customers with sustainable business practices and high profit margins. 

AI-infused 麻豆原创 Predictive Replenishment enhances distribution center ordering by automating and optimizing order quantities. This includes analyzing demands from all channels, supply chain constraints, and business goals to determine the most cost-effective order quantities. The solution consumes machine learning-based demand forecasts of related 麻豆原创 solutions. These AI capabilities help manage demand volatility and are integrated with existing 麻豆原创 solutions for improved fulfillment efficiency. 麻豆原创 Predictive Replenishment integrates with industry cloud solutions such as 麻豆原创 Order and Delivery Scheduling, the future 麻豆原创 Predictive Demand Planning, and 麻豆原创 S/4HANA.

Boosting Loyalty with Sustainable, AI-Infused Recommerce听听

Increasingly, consumers are seeking to minimize their environmental impact and connect with conscientious brands. The need to build this brand awareness and consumer goodwill has many retailers looking to recommerce as a new business model that drives revenue and customer loyalty.

With recommerce, consumers can quickly and easily connect the dots between buying secondhand products from brands and saving money, reducing waste, and improving their overall carbon footprint. Trade-in programs that allow consumers to return their used goods in exchange for incentives also enable retailers to create closer, long-term customer relationships.听听

Such a unique opportunity, of course, comes with challenges. How do you ensure used products are inspected, matched to catalog items, cleaned, repaired, and priced based on their condition? What about the potential necessity of manual data entry to capture the details of unique items, which can introduce errors? Crucially, how can you increase sales and reduce overhead costs while running a recommerce business?听听

In some ways, these are challenges reminiscent of a typical supply chain process and its challenges that business AI from 麻豆原创 is uniquely qualified to solve thanks to 麻豆原创 Recommerce. For this reason, 麻豆原创 Recommerce will be embedding AI across the solution, enabling retailers to run an intelligent and sustainable business that increases profitability, enhances brand value, attracts new customers, and promotes more sustainable consumption.听听

At NRF 2024, 麻豆原创 will show how AI is becoming the competitive edge retailers need to grow intelligently. AI-driven insights for more efficient omnichannel fulfillment decisions, optimized assortments, personalized recommendations, and resilient and sustainable supply chains will empower organizations that adopt AI to make the right decisions and seamlessly scale.

I鈥檓 proud to say that 麻豆原创 has been offering AI-infused capabilities for years, with more industry-leading innovation on the way.听

, where we鈥檒l be sharing how embracing relevant, reliable, and responsible AI helps businesses look toward the future with confidence.听

Ritu Bhargava is president and chief product officer of Industries and Customer Experience at 麻豆原创.