ShelfPilot replaces manual store walks with AI agents that score compliance from a single photo. No enterprise contracts. No six-month rollouts.
Field reps walk stores checking planograms by hand. Slow, inconsistent, and exhausting at scale.
Repsly, Trax, and GoSpotCheck start at $500+/mo. Built for brands, not the teams on the ground.
Bad displays cost brands billions in lost sales. Most issues aren't caught until the next scheduled visit.
Field rep takes a photo of the shelf, display, or endcap. One tap from any phone.
AI compares the photo against the planogram. Compliance score, deviations flagged, priority ranked.
Issues auto-route to the right person. Reports generate themselves. History tracked across every visit.
Upload a shelf photo. AI identifies products, checks placement against the planogram, and returns a compliance percentage with flagged issues.
ShelfPilot agents track compliance trends across locations. They alert you when a store drifts, before it becomes a pattern.
See which stores, regions, and display types consistently underperform. Data-driven decisions, not gut feel.
Assign audits, route fixes, track resolution. Your entire field operation in one place, not scattered across spreadsheets and group texts.
ShelfPilot is building the future where retail execution runs itself. AI agents that see what humans miss, act before problems compound, and give field teams back the hours they spend on paperwork.