About this episode

David McIntosh discusses how Instacart's Caper Cart utilizes AI and sensor fusion to enhance the grocery shopping experience.

Instacart has 1.6 billion lifetime grocery orders—and is now using that data flywheel to digitize the physical store itself. In this episode, David McIntosh, Chief Connected Stores Officer at Instacart, explains how the Caper Cart—powered by an NVIDIA Jetson™ board and a sensor fusion system combining cameras, weight sensors, and location data—is bringing edge AI to the grocery aisle. He shares what's driving double-digit sales lift for retailers, how AI agents are beginning to automate store operations, and why in-store and online shopping will merge into a single unified experience within the decade. 🔬Topics covered: How Caper Carts use NVIDIA Jetson and sensor fusion to identify items in real time Why edge AI matters: hundreds-of-milliseconds response vs. seconds in the cloud Double-digit sales lift from personalized in-cart recommendations Building a grocery foundation model from 1.6B orders and live in-store data AI agents for store ops: proactive out-of-stock alerts and CPG shelf optimization Chapters: 00:00 – Introduction and the Connected Store vision 04:00 – Caper Cart: NVIDIA Jetson, sensor fusion, and edge AI 08:06 – How basket recognition and recommendations work…

People in this episode

Guest: David McIntosh

Topics covered

• AI in retail
• smart shopping cart
• edge AI
• grocery technology
• personalized recommendations
• store operations automation

Keywords

• Instacart
• Caper Cart
• NVIDIA Jetson
• edge AI
• grocery orders
• personalized recommendations
• store operations
• sensor fusion

Mentioned in this episode

Organizations: Instacart, NVIDIA

Products: Caper Cart, NVIDIA Jetson

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