零售业的人工智能革命：提升客户体验

TRANSFORMING RETAIL WITH IMPROVED CUSTOMER TRANSFORMING RETAIL WITH AI AND MODERN IT:OVERCOMING CHALLENGES AND DRIVING GROWTH Today’s retail industry faces a fast-evolving landscape, with changing consumer behaviors, difficulties hiring and retaining retailemployees, and supply chain and logistics issues. Behind the scenes, retailers race to confront the challenging realities of cost control, This whitepaper explores a new generation of innovative solutions that can help retailers not only meet and surmount these challenges,but also introduce new ways to delight customers, improve cost management, streamline operations, and increase revenues. Artificialintelligence (AI) and data collecting devices can provide insights into consumer behavior and operational efficiencies, transforming retail Yet for these solutions to be implemented, some key challenges must be addressed. Most retailers operate on very thin margins,limiting their ability to invest in costly data collection devices and AI infrastructure powered by highly-sought-after, specialized GPUprocessors. For many retailers, data-driven AI innovation may simply seem not in the budget. To overcome these challenges and realize the potential of AI, retailers need solutions that are cost effective and can modernize retail ITinfrastructure to enable the deployment of transformative technologies. These solutions are possible with AMD, which can help improvethe performance of your data center, cloud infrastructure, and edge deployments even as you consolidate to save money, space, and energy. Read on to discover how AMD offers a comprehensive end-to-end portfolio of high-performance products and solutions to support AIdeployments for retail and e-commerce operations. These include AI-optimized AMD EPYC™ CPUs and AI-accelerated AMD Instinct™ GPUsdesigned for deep learning training, inference, and large-scale AI models. AMD can help modernize the retail datacenter to bring in thesenew technologies. AMD also offers a suite of adaptive AI solutions for low-power, high-efficiency AI inference at the network edge, ideal for TECHNOLOGYADOPTION IS NOLONGER OPTIONALBUT ESSENTIAL FOR TRANSFORMING RETAIL WITH AI AI adoption in the retail sector is accelerating, driven by the need for increased efficiency, improved quality of customer experience, andenhanced competitive differentiation. According to the reportThe Future of AI in Retailfrom Everseen, 65% of responding consumersbelieve that AI makes retail more convenient. Nearly two-thirds (63%) of senior retail managers surveyed think AI deployment is Retail AI adoption is underway, but slowly, as AI models integrated withincomputer vision, natural language processing, and recommendationsystems are making their way into stores and online commerce. Chatbotsand virtual assistants are common on e-commerce sites to provideproduct information and suggest relevant products based on analysis ofcustomer behavior data. AI can support loss prevention through videoanalytics solutions, such as those offered by the Vadio AI vision platform. Behind the scenes, AI is also used for automated inventory managementto autonomously reorder products based on sales trends and predictiveanalytics. AI also powers supply chain optimization solutions that EMERGING AI USE CASES CAN TRANSFORM THE RETAIL EXPERIENCE On the horizon are many new examples of how AI can personalize the shopping experience for consumersand make it more efficient and effective for retailers. Leading-edge AI retail use cases include: •Computer vision to track customer behavior and offer recommendations and discounts.AI-enhanced camerasand sensors in stores can monitor customer movements, product interactions, and shopping patterns to provide •Hotspot analysis.Computer vision can track customer movement to identify a store’s pinch-points and high-trafficareas. It can also provide data that allows retailers to negotiate higher slotting fees with their suppliers. •Automating product detail pages (PDPs) in e-commerce with large language models (LLMs).LLMs can generateSEO-optimized product descriptions instantaneously for online catalogs, greatly reducing manual efforts and •Creating short-form product videos with generative AI.Using product images and descriptions, retailers can auto-generate animated explainer videos, 360-degree product spins, or add voice-overs to narrate product features. INTEGRATING AI, AUTOMATION, AND DATA-DRIVEN INSIGHTS INTO DAILYOPERATIONS GIVES RETAILERS THE OPPORTUNITY TO GATHER INSIGHTS THE CHALLENGES OF IMPLEMENTINGDATA-DRIVEN AI SOLUTIONS IN RETAIL For many retailers, the promise of AI-powered retail solutions may seem out of reach. Retail AI solutions rely on processing massive amounts of customer data, transactionrecords, and behavioral information to generate the personalized insights that maketailored customer experiences possible. However, data collection, storage, and usageraise regulatory concerns in many locales. AI models