Deep DiveRetailTech: What Do Data and AI Mean for Retail? Coresight Research March 17, 2021 Reasons to ReadWe discuss the challenges that many retailers face in leveraging data effectively, as well as the as well as the strengths of artificial intelligence (AI) for retail data analysis. We use Coresight Research’s proprietary CORE framework to categorize and explain the benefits of AI for retailers and provide examples where retailers are using data and AI to enhance their businesses. Click here to read more about our CORE framework. For further information on how AI can help retailers to compete and thrive, click here. Click here to read more Coresight Research coverage of AI in retail. CONTENTS What’s the Story? Why It Matters Data and AI in Retail: A Deep Dive A Retailer-Centric vs. Customer-Centric Market Retailers Struggle To Integrate Their Data AI: New Data Relationships and Actionable Insights The Coresight CORE Framework Communication Optimize Pricing Rationalize Inventory Experiential Retail What We Think Implications for Brands/Retailers Implications for Real Estate Firms Implications for Technology Vendors Already a subscriber? Log in You are currently viewing a preview of this report. Please select an access option to view the full report. Hide Options - Show Options + Get unlimited access to all our research with one of our subscription plans. View Subscription Plans or Contact us to purchase this report. Contact us ✕ This document was generated for Other research you may be interested in: Shoptalk Fall 2025 Day One: Building Resilience Through Agility, AI and Authentic Connections to Thrive in Volatile TimesUS Store Tracker Extra, August 2025: At Home, Claire’s and Office Depot Closures Add 4+ Million Square Feet to Total Closed Retail SpaceInnovator Profile: Selectika—Enhancing Online Product Discovery Through Intelligent Metadata EnrichmentAnalyst Corner: US Seasonal Shopping in the Holiday Quarter, with Aditya Kaushik
