Edge AI at the Shelf
In-store AI workloads need low-latency inference but can't depend on centralized cloud without adding unacceptable delay and cost
Computer Vision
Loss prevention cameras with real-time inference — detect shrinkage without cloud round-trips
Demand Forecasting
Predictive models at the shelf reduce stockouts and overstock using local inventory signals
Associate Copilots
AI-powered product knowledge at the associate's fingertip — real-time answers, no latency
Dynamic Shelf Labels
Edge-driven pricing updates across thousands of digital labels in seconds, not minutes
Cloudflare Solution
Edge AI inference via Workers AI delivers real-time predictions and answers at the shelf without cloud round-trips, reducing shrinkage and improving associate effectiveness.
Data Sovereignty
Inference runs at the edge — sensitive video and inventory data never leaves the region
Customer KPIs
Edge Inference
<50ms
inference latency
No GPUs
required in-store