There is more coming in than anyone can review
Every visit adds dozens of photos and data points, more than a team can go through by hand. Much of it never gets scored.
Frogmi intelligence · AI visual execution auditing
One photo is the whole audit
Frogmi Intelligence checks every photo against your documented standard and returns a score for each evaluation criterion, findings with a clear explanation, and recommended corrections. No one has to review photos one-by-one anymore.
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Go beyond a traditional audit
You have more information than you can analyze on your own.
Your team already captures evidence on every visit, with the date, time, and location attached. That is what makes the next step possible: each photo scoring itself.
The same photo gets scored differently depending on who looks at it
Every reviewer applies their own bar. Once that happens, scoring stores and comparing them against each other stops being objective.
Time gets lost between the report and the fix
Someone still has to read the data, work out what it means, come up with a fix, and tell each store what to improve.
Less time per audit
Faster audits, with more packed into every photo
A single photo covers several variables at once, with no training required and the same criteria applied at every store. Auditors spend less time auditing, and the results, complete with analysis, arrive immediately.
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Less time on every visit
One photo covers several variables at once, instead of working through them one by one.
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No training required
In the store, auditing means taking a photo. No criteria to memorize and no training beforehand.
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The same criteria at every store
Every store gets scored the same way, no matter who made the visit.
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Results and analysis right away
The score, the findings, and the recommendations arrive automatically.
Just a photo
From photo to report, in seconds
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The evidence gets captured
Your field team takes the photo from their phone, with location and time automatically attached to the response. For store staff, all it takes is snapping a picture.
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It gets scored against your standard
Frogmi Intelligence first confirms that the photo matches what was requested. Then it compares the photo against the documentation in the Document management module and returns a compliance score for each criterion.
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The report comes back
A score for each criterion, an overall score, findings with their reasoning, and recommended corrections, all available the moment you finish the audit.
Frogmi AI
analyzes, detects
and validates
Scoring and recommendations
Every audit ends with recommendations to improve
The report spells out what fell short, why it counts as a deviation, and the specific action that applies in each case.
CLARITY
You know exactly what fell short
Every point in the standard gets scored on its own, with the exact criterion that was not met identified.
INSIGHT
Every score comes with an explanation
The reasoning behind each score is on record, so the team can see what happened and how it was evaluated, and treat every audit as a chance to improve.
ACTION
What to fix, and how urgent it is
For every deviation, the specific action that applies, ready to carry out.
Execution, measured in the field
When to use an AI visual audit
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Displays and campaigns
You launch a campaign across two hundred stores and need to know how many set it up right. One photo per store is enough: POP material, pricing, signage, and display all get evaluated. You get a compliance ranking right away, so you can step in while the campaign is still running.
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On-shelf product audit
Perishables can change condition within the same day. A photo of the shelf gets scored on freshness, uniformity, and presentation, with a removal alert when one is warranted. Product that has gone bad comes off the floor before a customer ever sees it, which means less waste and fewer complaints.
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Store presentation
Order, cleanliness, signage, lighting: everything a customer takes in walking through the door. Each area gets scored against the standard, using the same criteria across the whole network. The report shows what to fix and how. That's how you get a consistent brand experience across every store in your network.
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Order and safety
Cover the sales floor and the areas customers never see. One photo per aisle checks for clear walkways, proper stacking, visible signage, and equipment condition. Every finding gets logged with date, time, and location, along with the recommended fix, and gets resolved before it turns into an incident.
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Frequently asked questions
What people usually ask us
Can a single photo be the whole audit?
Yes. Visual auditing works on its own, with no additional questions required alongside it. From one image, Frogmi intelligence identifies every criterion in the standard, scores each one separately, and returns the report. It can also sit inside a longer checklist when the operation calls for it.
Does anyone still have to review the photos by hand?
No. Scoring is automated and the report lands in the dashboard ready to read. The team works from reports and decides on the deviations that matter most, with the same effort for ten photos as for ten thousand.
How do you know a photo actually matches what was asked for?
Before scoring anything against the standard, Frogmi intelligence checks the image against the wording of the question and assigns it a match score. A photo of the wrong location, one reused from an earlier visit, or one that does not show what was requested scores low and gets flagged for whoever reviews it. That way no result ever rests on evidence that does not correspond.
What is the photo compared against?
Against the standards documentation already stored in the platform's Document management library. Update a document there and the next evaluation reflects that change right away, so the criteria applied are always the current ones across the network.
What happens once Frogmi intelligence finds a deviation?
It returns recommendations the team can act on. For each criterion that falls short, it states what to fix, why it counts as a deviation, and how urgent it is, all grounded in the documented standard. The team gets the what and the how alongside the score, and decides how to act with that in hand.
How do deviations get prioritized?
Each criterion gets its own score, and each audit an overall score. The lowest results point to what needs attention first, and the highest ones serve as a reference for strong execution worth repeating across the network.
Does it require special hardware or setup?
It runs on any iOS or Android phone, and works with Zebra and Honeywell devices for teams already using them. Setup means having the standard loaded into Document management, with no integrations or development involved.
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Bring AI into execution across every store
Discover what AI can do for your operation. Book a demo and see Frogmi intelligence in action.
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