InfographicRetailTech Bites: What US Consumers Think About Retail Technologies—Electronic Shelf Labels, Facial-Recognition Software, GenAI John Mercer, Head of Global Research and Managing Director of Data-Driven Research October 31, 2024 Reasons to ReadOur RetailTech Bites series spotlights key data related to retail technology. In this graphic, we highlight proprietary survey findings on US consumers’ awareness and perceptions of electronic shelf labels, facial-recognition software and GenAI (generative artificial intelligence). Methodology: The data in this graphic are informed by two online surveys of US consumers aged 18+, conducted by Coresight Research—400 respondents surveyed in September 2024 and 403 respondents surveyed in August 2024. At a total level, the results have a margin of error of +/- 5%, at a 95% confidence level. Other relevant research: RetailTech: Electronic Shelf Labels—A Boon or Burden for Consumers? RetailTech: Loss Prevention—Understanding the Big Picture To Prevent, Mitigate and Recover “Shrink”ing Profits All Coresight Research coverage of GenAI in retail Visit the Coresight Research Retail Technology Hub to explore reports, data and competitive landscapes on technology. The Coresight Research US Consumer Survey Databank provides additional insight into US consumer behaviors from our weekly surveys. 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: Energy and Inflation Update + Retail Tech for the Holidays: Premium Subscriber CallGlobal Tech and Retail Layoffs in 2025: Structural or Cyclical?Weekly US Store Openings and Closures Tracker 2025, Week 21: US Store Closure Cross 5,000 as Rite Aid Begins Closing StoresNRF 2025: Retail’s Big Show—Top 10 Tech Themes, from Computer Vision and RFID to AI-Powered Associate Devices