Notes from the
verification queue.
How receipts get faked, how shelves get misreported, and what it takes to check every submission instead of a sample. Written for the people who run loyalty programs, promotions, mystery shopping, and field audits.


POSM compliance: the right material on the right product
How brands can verify POSM against product models, artwork versions, and placement rules, with photo evidence and a practical AI pilot.
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Sweepstakes and prize draws: how to verify entries
How to verify entries for sweepstakes, prize draws, and receipt lotteries: check evidence, apply campaign rules, and resolve exceptions before the draw.
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Why mystery shopping and field audit companies are adding AI verification, and what it actually catches
Field research runs on photos, receipts, and checklists, and QC checks a sample. What changes when every submission is verified, and where AI helps or does not.
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AI-generated fake receipts are a promotions problem now, not just an expense-report one
Image models now produce convincing receipts from a prompt. Expense vendors noticed first; cashback and loyalty promotions are the softer target. What still catches them.
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Receipt fraud detection for loyalty programs and cashback promotions: a field guide
Duplicates, altered totals, reprints, screen photos, generated images. The receipt fraud patterns in loyalty and cashback programs, and the check that catches each one.
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Receipt OCR is not receipt verification. What AI receipt verification adds to a promotion.
OCR tells you what a receipt says, not whether it qualifies, whether you have seen it before, or whether the total is real. Where extraction stops and verification starts.
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Franchise compliance audit AI: from a quarterly inspection to every shift, in QSR and retail franchises
Franchisors audit brand standards a few times a year and see a prepared store. Verifying every shift's photos and invoices shows the store as it actually runs.
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Call script compliance AI: checking every mystery call and every recorded call against the script
Mystery calling and call QA both listen to a sample. AI call script compliance checks every recording for the greeting, the disclosure, and the offer, with excerpts.
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Merchandising compliance photo verification: proving the display was installed, in every store, from the photo
Field teams install POSM in thousands of stores and brands check a sample. Photo verification checks every installation against the brief and flags the ones that do not match.
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Cashback promotion receipt validation: running one buy-anywhere campaign across every retail chain
A CPG cashback promotion should work at any store that sells the product. Receipt validation makes that possible without retailer integrations and keeps the payout budget from fraud.
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Open Loyalty receipt scanning: verified receipts become points with no review team in the loop
Open Loyalty receipt scanning: extraction, SKU validation, duplicate and fraud checks in Steve, then campaign rules and points in Open Loyalty.
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A clean roof, a cleared gutter, a photo: photo verification for insurer home maintenance rewards
Property insurers can cut water and storm claims by rewarding maintenance. How photo verification rules make home maintenance rewards workable when the only proof is a photo.
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Insurance loss prevention rewards: paying policyholders to change their tyres, and verifying that they did
Insurers want fewer claims. A prevention rewards program pays for the winter tyre change or the service visit and verifies each one from a receipt or a photo.
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Receipt scanning loyalty programs for brands: know who buys your product without integrating a single retailer POS
Manufacturers sell through retailers and never see the buyer. A receipt scanning loyalty program turns any till receipt into a verified transaction and a known customer.
ReadRead enough.
See it on your evidence.
If you are checking receipts, shelves, or store visits by hand today, bring a sample. We will show you what changes when every submission is verified.
Book a demo 30 minutes. Your use case. Real possibilities.