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SYSTEM Cited by 2 sources

Instacart Caper

Caper is Instacart's in-store AI-powered smart cart. It provides a scan-less / frictionless grocery checkout experience using on-device computer vision and multi-sensor fusion (camera + weight scale + location / localisation sensors). Deployed at retailer grocery stores; a stability-critical hardware product — "a crash can lead to cart abandonment" (from the 2026-02-03 Caper Android-migration post).

Architectural relevance on this wiki

Two Instacart Engineering posts so far document Caper from the systems-engineering angle:

Key properties (as disclosed)

  • Multi-modal sensors per cart: camera (primary), weight scale, location / localisation.
  • On-device AI workload: product recognition + checkout (inference runs on the cart).
  • Data volume per cart: "gigabytes" per cart of multi-modal sensor data.
  • Fleet scale: unspecified in number, but deployed across retailer stores; explicitly mentioned as the team's driver for needing collection-cost to not grow linearly with fleet size.
  • Deployment environment constraint: lives on retailer store networks — the Capsight Collector's uploader "carefully manages upload timing and bandwidth to avoid any impact on retailer operations or network performance".

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