Deep DiveFree ReportFive Ways Brands and Retailers Can Use AI/ML and Shared Data to Energize End-to-End Product Management Download the free full report. John Harmon, CFA, Managing Director of Technology Research Sector Lead: Steven Winnick, Vice President—Innovator Services May 13, 2025 What's InsideThe time for maintaining siloed data and point-solutions in retail is coming to an end. The interconnected product-management cycle of the future is underpinned by the centralization of data and the power of AI/ML (artificial intelligence/machine learning). In this research report, we explore five ways in which brands and retailers can gain from the analytical power of AI/ML, including GenAI (generative GenAI), in the modern product-management process, spanning: Product and market development Planning and pricing Product acquisition Sales and inventory Customer interaction Download this free report to: Understand how to unlock the value of your company’s unique data to make better business decisions that improve efficiency and drive profitability Tap AI/ML technology to elevate product-lifecycle operations amid escalating global competition and rapidly changing consumer trends. Leveraging proprietary survey analysis, expert insights and real-world retail case studies, we uncover the critical benefits of AI-powered strategies to help you gain advantage in today’s competitive landscape. This report is produced and made available to non-subscribers of Coresight Research through its sponsorship by Centric Software. Watch the associated video of selected findings from this research report here: Five Ways Brands and Retailers Can Use AI/ML and Shared Data to Energize End-to-End Product Management Data in this research report include: Projected global revenues generated by AI for retailers, 2024–2030E Proprietary retailer survey findings—retail business decision-makers’ view on influential differentiators of AI-based pricing solutions; percentage of gross sales lost due to out-of-stocks and ineffective allocation and assortment planning Proprietary consumer survey findings—selected expectations of delivery that impact shoppers’ likelihood to buy online Other relevant research: All Coresight Research coverage of retail management and AI in retail Visit the Coresight Research Retail Technology Hub to explore reports, data and competitive landscapes on technology. More Innovator Research from Coresight Research Non-subscribers can access the report by completing the form on this page. The report will arrive in your inbox upon completion of the form. You are unauthorized to view this page. Login This document was generated for