Repsly ShelfScan

An AI image-recognition add-on for the Repsly field app, turning shelf photos into real-time execution insights

4.4 United States
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What is it

Repsly ShelfScan is an AI image-recognition add-on module from the US field-management platform Repsly. Repsly itself is a mobile tool for consumer-goods brands to manage field sales, visits, and store execution, while ShelfScan adds a layer of image-recognition capability onto the existing app: field staff take a shelf photo in a store, and the system instantly turns it into execution insights like on-shelf availability and display compliance, feeding directly back into the on-site workflow.

What problem it solves

When sales reps visit stores, they used to mostly rely on manually filling forms to report display and out-of-stock status — slow data and not objective enough. ShelfScan makes the act of taking a photo directly produce data, so reps can see on the spot whether the shelf is out of stock or the display is in place, and even handle it right there. For brands already using Repsly, its biggest advantage is not needing to adopt another system — just enable image recognition within the familiar field app. It suits fast-moving consumer-goods brands and distribution teams with lots of store visits needing to monitor channel execution. Since it's an add-on module, you need the Repsly platform first, and recognition results are likewise affected by photo quality and product data.

Key Features

  • Add-on module built into the Repsly field app
  • Photo instantly produces on-shelf availability insights
  • Checks display-compliance status
  • Field staff see and handle results on-site in real time
  • Seamlessly connects with visit, task, and other field flows
  • No new system to build, reuses the existing platform

Pros

  • Built right on Repsly, low adoption friction
  • Data the moment you take a photo, immediate on-site action possible
  • Turns field reporting from subjective forms into objective data

Cons

  • Requires being a Repsly platform user first
  • Recognition accuracy affected by photo quality and the product database

Use Cases

  • FMCG reps photographing during store visits to confirm and fix out-of-stocks on the spot
  • Distribution teams unifying display-audit standards and reporting formats across the field
  • Brand HQ tracking channel execution via recognition data uploaded by the field

Editor's Note

For brands already using Repsly, use it to conveniently upgrade field visits into image audits.

FAQ

Can I use ShelfScan without using Repsly?

ShelfScan is an AI image-recognition add-on module for the Repsly platform, mainly aimed at existing Repsly users.

How does it differ from a standalone shelf-recognition tool?

The biggest difference is it integrates directly into the Repsly field flow; photo results feed back into existing visits and tasks, no separate system needed.

Can the field see results on-site?

It leads with real-time execution insights; after reps take a photo in the store, they can see the analysis and handle it on the spot.

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