品牌与零售商运用AI/ML和共享数据赋能端到端产品管理的五大路径

Executive Summary Product management plays a crucial role in driving revenues, margins, efficiencyand customer satisfaction. We envision a more dynamic product-managementcycle, enabled by the logical centralization of data repositories and the power of AI/ML (artificial intelligence/machine learning). AI/ML and GenAI (generative AI) offerpowerful capabilities to enhance product and market development, planning andpricing, product acquisition, sales and inventory, and customer interaction. 3. Accelerate Time-to-Market and Reduce Waste AI/ML optimizes product acquisition processes to minimize waste and cost.PLM (product lifecycle management) solutions can coordinate sourcing,shorten design-to-shelf timelines and cut material waste, while alsosupporting sustainability and traceability compliance efforts. Market Scale and Opportunity We estimate that global revenues generated by AI for retailers will grow at a 23.3%CAGR between 2024 and 2030, to $38.6 billion. 4. Optimize Sales and Inventory Poor allocation limits sales and hurts customer satisfaction—and manyretailers lack visibility into real-time performance, which inhibits their abilityto make timely corrections. Leveraging AI and data (with predictive, real-time analytics) for inventory optimization enables better coordination withsuppliers, improved synchronization with customer demand, more responsivesupply chains and other benefits that ultimately maximize revenues. Coresight Research Analysis AI Can Unlock the Value of an Enterprise’s Unique Data AI combines automation with a data-driven model to produce actionableoutputs, and GenAI accelerates access to insights. By anchoring decisions indata and leveraging computing power, enterprises can become more efficientand more profitable. 5. Elevate Product Delivery and Analyze Customer Feedback Five Critical Strategies for Brands and Retailers Understanding shoppers’ preferences regarding product experience isessential for delivering exceptional customer experiences and optimizingoperations. Using GenAI and AI/ML, market-intelligence platforms can mineproduct reviews, support conversations and social media to analyze customersentiment and surface product insights. Such data can be fed back into theproduct-management cycle to drive positive business outcomes, such asreduced returns. 1. Enhance Product and Market Development Rapidly shifting consumer preferences generate ephemeral trends that, alongwith siloed systems, makes it hard for retailers and manufacturers to alignproduct development with demand. GenAI and AI/ML-powered tools enable theextraction of actionable insights from unstructured data to identify emergingtrends, inform new product concepts and produce visual assets quickly. What We Think 2. Improve Planning and Pricing Strategies Although we use the phrase “end-to-end” in reference to productmanagement, it is really a continuous, integrated cycle powered by shareddata and AI, rather than a linear sequence of functions. AI/ML and GenAIare becoming essential in the current landscape of escalating globalcompetition and rapidly changing customer tastes and trends; thesetechnologies offer brands and retailers enhanced capabilities in trendforecasting, operational efficiency and customer engagement. Accurate demand forecasting enables retailers to enhance customersatisfaction by avoiding stockouts, driving sales. Managing inventory andoptimizing pricing enhance profit. However, nearly 60% of US retailers do notproperly integrate pricing with core planning functions, according to CoresightResearch survey data. AI/ML supports real-time, model-driven pricing andadjusting to market dynamics with high accuracy. AI platforms can helpoptimize revenues, profits and inventory turns. Contents Introduction. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .4 Market Scale and Opportunity. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .6 Energizing End-to-End Product Management with AI/ML and Shared Data:Coresight Research Analysis..........................................7 The Power of AI. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .7Five Critical Strategies for Brands and Retailers.......................................81.Enhance Product and Market Development. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .82.Improve Planning and Pricing Strategies. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .93.Accelerate Time-to-Market and Reduce Waste............................................114.Optimize Sales and Inventory. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .125.Elevate Product Delivery and Analyze Customer Feedback....................................14 Implications for Brands/Retailers....