These innovative capabilities, from planning to personalization, will provide retailers with holistic customer insights and data analysis to adapt and thrive amid rapid market changes.

鈥淭hese AI-driven retail capabilities build on 麻豆原创鈥檚 industry-tailored, intelligent customer experience (CX) strategy, which provides companies with deeply integrated functionalities to enable their most critical business processes and customer journeys,鈥� said Ritu Bhargava, president and chief product officer, Industries and CX, 麻豆原创. 鈥溌槎乖粹�檚 composable architecture unlocks the creative potential of retailers, allowing them to cherry-pick capabilities tailored to their unique needs and rapidly innovate and respond to market demands, ultimately helping them to supercharge profitable growth.鈥�

The new capabilities include 麻豆原创鈥檚 unmatched industry expertise and embedded 麻豆原创 Business AI technology to deliver true end-to-end retail solutions. AI is only as good as the data that powers it, and 麻豆原创鈥檚 ability to integrate experiential and operational data across the enterprise enables more insightful, AI-driven decision-making for businesses. This integration produces more intelligent, personalized experiences for customers, as the best retail outcomes require great CX.

鈥淚n today鈥檚 environment, it鈥檚 critical to have insight across the business, which is why Swarovski has continued to adopt and leverage 麻豆原创鈥檚 end-to-end solutions, enabling us to connect our business processes,鈥� said Lea Sonderegger, chief digital officer and chief information officer, Swarovski. 鈥淪ince leveraging 麻豆原创 software, we鈥檝e had the flexibility and security to support continuous innovation, which offers us a consistent foundation for cultivating unique Swarovski customer loyalty across all touch points and innovating to create unique customer experiences.鈥�

鈥淩etailers and brands that achieve growth and profitability in today鈥檚 economy will bring together rich enterprise data and AI-embedded applications to enable everyone across their company to deliver amazing, personalized experiences to the right customer, on the right channel, at the right time,鈥� said Leslie Hand, group vice president, Retail & Financial Insights, IDC. 鈥淚DC anticipates more aggressive investment by retailers than we鈥檝e seen in years, and working with a strategic partner that understands and can deliver end-to-end capabilities is essential for buyers.鈥�

Examples of some of the newest capabilities include:

• 麻豆原创 Predictive Demand Planning: This solution will provide retailers with more accurate and longer-range demand forecasts across channels using a self-learning demand model. Besides enabling scalable, cost-efficient, high-volume calculations, it will offer precise forecasting and automatically identify and consider a variety of demand factors and external data. The solution will provide apps for forecast configuration, analysis, adjustment and simulation and offer intelligent alerting with root causes and recommendations.
• 麻豆原创 Predictive Replenishment: 麻豆原创 is adding store replenishment capabilities in a phased approach to its existing solution. The capability will replenish inventory in stores and distribution centers for an optimized, multilevel supply chain across flexible planning horizons. It will consider demand volatility, business targets, rules and constraints to determine optimal order quantities with the lowest expected costs. The capabilities improve fulfillment efficiency and on-time delivery by providing planners with a central tool to create order and delivery patterns for product flows within the supply network.
  
  Example use case: A grocer wants to establish a highly automated approach for replenishing yogurt to lower costs and waste while improving customer service. 麻豆原创鈥檚 new solutions will automatically forecast and schedule replenishment orders with the correct quantities for the right locations while keeping costs low. Business users can then review and accept intelligent recommendations and transfer to the procurement system to create purchase orders, as well as understand any issue, address it quickly and avoid problems in the future.
• 麻豆原创 Order Management for sourcing and availability: With , organizations can determine the optimal sourcing strategies to deliver customer satisfaction and minimize fulfillment costs. Business users can configure strategies aligned to their unique goals, including delivery time, utilized capacity, cost to ship and shipments per order and then run simulations to test the strategies before implementation.
• 麻豆原创 Order Management foundation: With this foundation, available now, business users can create omnichannel order flows that respond to business events, such as a fraud hold, delivery or in-store pickup activity, using an easy-to-use, drag-and-drop workflow automation tool. Additionally, retailers can customize event triggers based on their unique business processes, and the corresponding actions can take place within the order management system or relevant system of customer engagement.
  
  Example use case: A coffee retailer is offering its customers real-time fulfillment updates. ensures a streamlined operation, which efficiently coordinates with the required insights to fulfill customers’ needs, even in complex cases for various items, such as subscriptions, in-store pickup and sourcing accessories. 麻豆原创 Order Management for sourcing and availability also provides a centralized view of inventory to ensure customer demand is always met.
• TikTok and LinkedIn integrations for digital ads: The platform now integrates TikTok and LinkedIn for targeted digital ads. Marketers are empowered to segment customers, quickly engage leads, optimize ad spend, boost acquisition and retention, enhance the omnichannel retail experience and build trusted relationships for growth. Retailers can easily create, sync and expand audiences; connect with consumers on preferred social channels; complement campaigns with personalized ads on TikTok and LinkedIn for conversion; and use data-driven insights to convert leads and reengage at-risk customers.

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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 2022 Annual Report on Form 20-F.
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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.