AI inspections for Movista
Every proof-of-performance photo your teams submit on a completed Movista project, read for store condition, with a finding for each store that needs someone.
What proof of performance holdsOverview
Movista proves the work happened. It does not claim to grade the store around it. A completed Movista project comes back with user-submitted photos, a captured signature, a time log and a geo-verified check-in, filed against a store and a person. That is a complete record of performance and a fair amount of evidence about condition, sitting in an archive nobody has time to open at four hundred stores a week. RapidEye reads those photos, compares each store against how that same store looked on earlier visits, and returns a finding for every problem visible in the frame.
How it works with Movista
Movista organises store work as projects and tasks assigned to a person at a store, so the findings follow the same unit. Whatever a project's photo step was meant to capture, the frame also captures the store, and that is what gets read.
- Resets and remodels. The photo shows the finished bay, and behind it a shelf strip hanging loose, a light out over aisle nine, and the old fixture stacked where the fire lane starts. Findings for the three things the reset photo happened to include.
- Promotional setups and displays. A display that matches the guide today and was half collapsed on the last two visits is a different problem from one that was never built. RapidEye reads this store's history, so it says which one you have.
- Recurring store walks. The same aisles photographed week after week are exactly what change detection is for: a cooler door seal splitting slowly, a ceiling stain spreading, a queue rail bent since March.
- New store openings and vendor visits. Work delivered by crews you do not employ, photographed by them, checked against the same standard as your own teams.
- Damage and safety in the frame. Blocked exits, cracked flooring, water on the floor near the entrance, a broken end cap. Nobody was asked to photograph these; they are in the photo anyway.
A finding names the store, where in the store, the type of problem, how serious it looks, the two photos that show it and a suggested next step, and lands in the RapidEye dashboard and, if you want, a Slack channel or an inbox for the field ops team. Your team decides what becomes a new Movista project or escalation. If your teams capture video walkthroughs or 3D scans rather than stills, or you want findings scored against a standard of your own, that is something we set up with you.
How to connect Movista to RapidEye
- The projects that matter. Resets, promotional setups, recurring store walks, new store openings. RapidEye reads the photos submitted against those and leaves everything else in Movista alone.
- The photo step you already have. Movista projects collect user-submitted photos as proof of performance, so the frontline team installs nothing and changes nothing. Where a project you care about carries no photo step, add one in Movista, or use a RapidEye capture link that opens on any phone with no app.
- A RapidEye user on your account. Add RapidEye as a user with access to the projects you chose. The connect panel has the details, and Movista's support team can confirm the right role for your account.
What instant proof of performance actually contains
Checked against Movista's product documentation, September 2026.
Movista is a retail execution platform out of Bentonville, Arkansas, built for retailers, consumer goods companies, distributors and the merchandising service organisations that work for all three. According to Movista's product documentation (movista.com), its store tasking and merchandising module is a mobile-first work hub where work is assigned, completed and verified, and verification is what it calls instant proof of performance: user-submitted photos of completed projects, captured signatures, time login and geo-verified location check-ins. Four separate pieces of evidence, each answering a different question.
Three of the four are machine-readable the moment they arrive, which is why Movista's dashboards can report on-time completion, time in store and proof-of-performance rates without anyone opening anything. The photo is the one that needs eyes.
Around that sit the rest of the platform: real-time task management that pushes a project to one store, a division or every store at once; system-driven escalations so time-sensitive work does not get buried; multimedia attachments, so images, videos and instruction documents travel with the project; item management with shelf audits and in-app ordering; a vendor collaboration module that lets retailers and their brand and service partners work in one shared environment; and analytics built on Google Looker, with exception-based reports and custom dashboards. Movista's mobile app for store and field teams is published as Amp by Movista, following the earlier ONE by Movista app.
Does Movista read the photos its teams submit?
Yes, for the shelf. Movista's ShelfCheck AI reads shelf photos with or without a planogram, runs compliance checks and returns a virtual checklist of the changes needed to improve on-shelf execution, which is precisely the job it says it does: on-shelf availability and merchandising compliance. What no shelf-reading model is built to notice is everything else the same photograph contains, because that was never the question being asked of it. The end cap two metres behind the shelf, the fixture damage, the backstock cart parked in front of the exit, the store that has looked slightly worse every visit for four months. RapidEye reads that layer, against a baseline built from that store's own photo history, and hands your field ops team the short list of stores worth a visit.
Where does a Movista customer get documentation?
From Movista directly. Movista's support page routes every request through its phone system to the customer success team rather than a public help centre, and its integrations are described as RESTful and fully documented for customers. The facts on this page therefore come from Movista's public product and solution pages and its App Store listings, and your Movista contact is the right person to confirm how your own account is configured.
Movista integration FAQ
Does RapidEye integrate with Movista?
Yes. RapidEye reads the photos your teams submit on completed Movista projects and tasks, along with the store and the person who submitted them, and returns a finding for every problem it can see in the store: a display left half built, a damaged fixture, a fire exit blocked by backstock, signage that does not match the program. Your Movista projects, assignments, schedules and dashboards are not changed.
Who actually looks at the photos submitted in Movista?
In most retail organisations, almost nobody, and that is a staffing problem rather than a software one. Movista captures the photo, files it against the project and the store, and puts it in front of leadership through its dashboards and reports. A field ops team covering hundreds of stores still has to open them one at a time. RapidEye reads every submitted photo and surfaces only the stores with something wrong in them.
Does this replace ShelfCheck AI?
No, and it is not the same job. Movista's ShelfCheck AI reads the shelf: planogram compliance, on-shelf availability, the items that should be facing the shopper. RapidEye reads everything around the shelf that the photo also happens to contain, comparing this store's photos with what that same store looked like on earlier visits. Teams run both, on the same photos.
Will RapidEye change projects or tasks in Movista?
No. Movista stays the system that assigns, schedules and closes work. RapidEye reads the photos and reports what it finds; a manager decides whether that becomes a new Movista project, an escalation, or nothing at all.
We use Movista with third-party merchandising teams. Does that still work?
Yes, and it is where reading photos pays for itself fastest. Movista's vendor collaboration module lets retailers and their brand and service partners work in a shared environment, so the photos come back from crews you do not employ and cannot walk behind. RapidEye applies one standard to all of those photos, whoever submitted them.
What if our teams shoot video or scans instead of photos?
That works too. RapidEye reads whatever documentation a team already produces, including video walkthroughs and 3D scans, and reports findings against the standard you set for your stores. Tell us what your teams capture and we set it up around that.
Other retail execution platforms RapidEye reads
Same shape of problem: work assigned from head office, completed in a store, photographed by the person who did it.
RepslyPhotos captured on a rep's store visit, read for the whole store
YOOBICTask, communication and learning photos from enterprise store teams
ZiplineExecution photos from stores confirming head-office directives
BindyAudit and ticket photos across a multi-unit retail network
OpterusOPSCENTER task and directive photos from the store floor
All retail integrations
Sources
- Movista product and solution pages, store tasking, workforce, analytics, vendor collaboration and ShelfCheck AImovista.com
- Apple App Store listings for Movista's field team appsapple.com
Sources are named at the publisher level and were checked against the publisher's live pages before this page was published.
