AI photo review for Opterus

Overview

OPSCENTER gets the photo out of the store and into the right place; reading it is still somebody's afternoon. Tasks can require proof before a step closes, Visual Merch Reviews collect submissions against a reference image, and dashboards count what came back. What a count cannot say is whether the display in the picture is the one head office asked for. RapidEye reads the submissions themselves, with the store, the task and the date attached, and returns a finding for each problem visible in the frame.

How it works with OPSCENTER

Opterus splits store execution into distinct tools, and a photo means something different in each one. RapidEye reads them in their own context, so a finding arrives attached to the task it came from rather than as a loose image in a folder.

• Visual Merch Reviews. The submission was taken against a reference image at a defined step. RapidEye names the differences: the wrong tier order, a size run broken, signage that never went up, a mannequin dressed from last month's guide.
• Multi stage tasks. When a floor set runs across several stages, each stage carries its own photo. RapidEye reads them in sequence, so a store that got stage two right and stage four wrong shows up as exactly that.
• Proof of completion photos. A task closed with a photo is a claim and its evidence in the same record. RapidEye reads the evidence and reports where the two do not agree.
• Everything else in the frame. Stores photograph a display and catch the aisle behind it: a damaged fixture, a spill, stock in a walkway, a light out. Those come back as findings even though nobody asked the question.
• The photo history already in the account. On first connection RapidEye reads past submissions, so each store gets a baseline of its own good state and drift from it is what gets flagged, rather than a generic standard applied to a store that has never looked like the picture.

A finding names the store, the spot, the kind of problem, how serious it is, the photo it came from and the earlier photo it differs from. It lands in the RapidEye dashboard and, if you want it there, a Slack channel or an inbox for head office. Whether a store then gets a follow up task, a ticket or nothing is decided in OPSCENTER exactly as before. If what you want read is a walkthrough video, a set of scans, or an execution standard your visual team wrote themselves, that is something we set up with you, not a limit of the product.

How to connect Opterus to RapidEye

1. An OPSCENTER account and the task types that carry photos. Tell us which task types and which Visual Merch Reviews require a photo submission, and which store groups you want covered. Nothing about how they are built changes.
2. The submissions your stores already send. Store associates keep submitting photos in OPSCENTER at the point of completion, and RapidEye reads those. If a program you want covered has no photo step yet, a RapidEye capture link opens on any phone with no app to install.
3. Add RapidEye as a user. Add RapidEye as a user in OPSCENTER with visibility of the stores you want read. Head office keeps its dashboards, your reviewers keep their queue.

What an OPSCENTER submission carries

Checked against Opterus's product documentation, September 2026.

Opterus builds OPSCENTER, a retail operations and communication platform for multi location retailers that puts the tools a store network runs on in one place: Task Manager, Message Center, Dashboards, Calendar, Planograms, Visual Merch Reviews, an AI assistant and an API layer the company calls OpsEngine. According to Opterus's product documentation (opterus.com), a merchandising review is built as a guided task that walks an associate through each step of a display, with reference images attached and photo submission required at the stages you choose, and submissions arrive inside the platform rather than through a messaging app or an email thread. That design decision is what makes this integration simple: the picture, the store, the task step and the reference already sit together.

The rest of the platform feeds the same picture. Task Manager sends single step or multi stage work to a store, a district, a region or the whole organization with owners and deadlines at each stage, and can require a photo or a confirmation before a step advances. Planograms are interactive floor and board maps whose zones link to the documents an associate needs, with tickets for flagging a problem during execution. Dashboards report completion and compliance in real time across campaigns, checklists, audits and planogram execution, role by role. Opterus describes its infrastructure as API first, which is the posture that makes a reading layer sit comfortably on top of it.

Does OPSCENTER judge the photos it collects?

A person does, deliberately. Opterus's documentation is clear that reviewers compare a store submission with the reference image side by side inside the platform, leave feedback on it and flag discrepancies, which is the right way to run a merchandising review and a large improvement on pulling images out of an email thread. The part that does not scale is human attention: at several hundred stores a campaign produces more submissions in a morning than a district team can open in a week, and the ones nobody opens look exactly like the ones that passed. RapidEye reads all of them and hands the reviewer a shortlist, which is a different job from the one OPSCENTER is doing and sits next to it.

Opterus integration FAQ