How Robotics & AI Are Transforming Grocery Retail | Corey Rochkin, Oliver Wyman at FMI 2025

🎙 OmniTalk Retail Podcast | Live from FMI 2025 🎙Chris Walton & Anne Mezzenga chat with Corey Rochkin of Oliver Wyman about the latest robotic automation trends in grocery retail live from the Simbe Podcast Studio at FMI 2025. From AI-driven inventory tracking to customer service enhancements, discover how retailers are integrating cutting-edge technology to boost store efficiency.⏱ Time Stamps & Topics:🔹 [0:00] – Live from FMI 2025 at the Simbe Robotics Booth🔹 [1:00] – Corey Rochkin’s role at Oliver Wyman and focus on in-store robotics🔹 [3:00] – Why choose robotics over fixed cameras? The cost and flexibility factors🔹 [6:30] – AI & labor shortages – How technology is helping augment store teams🔹 [8:00] – Top use cases for grocery robots – Inventory tracking, planogram verification, pricing accuracy🔹 [10:00] – Future use cases – AI-driven quality checks, theft prevention, and customer interaction🔹 [12:30] – Will robots take store jobs? The reality of labor constraints in grocery🔹 [15:00] – How grocery operations will change – The move toward enhanced customer service🔹 [18:00] – The future of AI in retail – Where robotics & automation are headed next📢 Don’t miss this insightful look at the future of grocery store automation!🔔 Subscribe for more retail innovations from FMI 2025!#robotics #retailtrends #retailstrategy #grocery #fmiThis podcast uses the following third-party services for analysis: Podcorn - https://podcorn.com/privacy

Om Podcasten

Omni Talk Retail provides news, analysis, and commentary on the latest trends and issues in the retail industry. It covers a wide range of topics related to retail, including e-commerce, technology, marketing, and consumer behavior. The podcast regularly features industry experts, Chris Walton and Anne Mezzenga, as well as retail thought leaders who all share their insights and perspectives on the latest developments in retail.This podcast uses the following third-party services for analysis: Podcorn - https://podcorn.com/privacy