AI inspections for Repsly

Overview

The Repsly Photo Gallery is an archive, and an archive is only as good as the person with time to browse it. Repsly files every image your reps capture against a place, a date and a rep, unifies photo activities and form photos in one gallery, and lets you filter them by tag, banner or form question. What it does not do, because nobody has asked software to do it, is tell you which of last week's four thousand photos show a store that has quietly gone wrong. RapidEye reads them all, compares each place against its own visit history, and returns a finding for every problem in the frame.

How it works with Repsly

A Repsly visit has a shape: the rep checks into a place, the clock starts, activities are logged, the visit closes. Findings follow the same unit, one per place per visit, built from whatever that visit photographed.

• Photo activities at a place. Storefronts, shelves, promotional materials, the three things reps are told to archive. RapidEye reads what else made it into the frame: a cracked cooler door, a light out, backstock stacked where a customer walks.
• Form photos and multi-photo questions. When one product sits on four shelves, a multi-photo question brings back all four. Read together they show a display coming apart rather than four unrelated pictures.
• Repeat visits to the same account. Change detection is the point. A shelf strip missing since March, a queue rail bent last month, an end cap that has been rebuilt wrong three visits running.
• Promotion and program setups. The photo proves the display exists. The finding says the header is torn, the second facing is empty and the price card belongs to the last promotion.
• Damage and safety nobody was asked to report. Water on the floor, a blocked exit, broken flooring at the entrance. It is in the photograph whether or not it is in the form.

A finding names the place, where in the store, the type of problem, how serious it looks, both photos side by side and a suggested next step, and lands in the RapidEye dashboard plus, if you want, a Slack channel or an inbox for field ops. Your team decides whether that becomes a scheduled task in Repsly. If your reps shoot video walkthroughs or you want findings scored against a merchandising standard of your own, that is something we set up with you.

How to connect Repsly to RapidEye

1. The places you want read. One banner, one territory, or every account on the route. Repsly's territory hierarchies already draw those lines and RapidEye follows them.
2. The photos you already collect. Photo activities and form photos both land in the Photo Gallery, so reps keep working the way they work today. Where a route collects no photos, add a photo question to the form, or use a RapidEye capture link that opens on any phone with no app to install.
3. A RapidEye user in Repsly. Add RapidEye as a user with access to those places. The connect panel has the name and email.

How a photo gets filed in Repsly

Checked against Repsly's knowledge base, September 2026.

Repsly is retail execution software for CPG field teams and the retail services companies that work for them, run out of Boston. The unit of work is the visit: according to Repsly's help centre documentation (repsly.com), a rep opens the Places tab, checks into the place on arrival, and a running clock starts and stays visible at the top of the screen until checkout, so managers can see how long the rep spent and which activities were logged there. Photos are one activity type among notes, forms and orders, and they reach the Photo Gallery down two different paths.

That last row is what a photo carries with it in Repsly, per its documentation on photo details: the rep who took it, the time, the client, the map location, plus whatever tags and comments people added. It is a well-kept archive. It is also the exact set of fields you need to hold a store accountable, once something has actually read the pictures.

Around the visit sits the rest of the platform: daily schedules built from recurring appointments, scheduled tasks, GPS location and territory coverage reports, with route optimisation on top; flexible forms and, since the Retail Audit feature was retired, Matrix Forms, which lay items out as rows and questions as columns for structured multi-item evaluations at the shelf; orders and returns from a product catalogue; automatic time and mileage tracking; a live coaching portal showing the team on a map; and offline mode, so a rep in a grocery back room keeps working when the network does not.

Does Repsly already analyse the photos?

The shelf ones, yes. Repsly's AI image recognition product, ShelfScan, comes in two forms: ShelfAssist, which Repsly says returns results from shelf photos within sixty seconds of capture so a rep can act before leaving, and ShelfAnalytics, which delivers reporting on retail KPIs from those photos. Repsly reports up to 98 percent SKU accuracy and up to 50 percent shorter in-store audits for teams using it. That is shelf intelligence, and it is good at the question it was built for: what is on the shelf, in what quantity, in what position. Store condition is a different question asked of the same pixels, and it needs the store's own past to answer, which is what RapidEye brings: a baseline per place, built from that account's photo history, and a finding when this visit does not match it.

Can you review photos from a rep who no longer works there?

Yes, and Repsly makes that easy. Its account history shows photos, execution reports and sales trends from past visits regardless of who visited the store last, and the Photo Gallery migrated form photos taken from September 2023 onward into the same view. So the baseline for an account is not tied to a single rep's tenure. On first connection RapidEye reads the photo history you already hold to learn what each store looks like when it is right.

Repsly integration FAQ