AI-generated proof of purchase
Receipts made with image generators look real to a person. Our own models detect the fingerprint they leave.
Warranty fraud detection for every proof of purchase.
Docklands AI is warranty fraud detection for manufacturers, warranty providers and retailers. It flags AI-generated receipts, edited purchase dates, serial numbers claimed twice and repair invoices priced above market.
app.docklands.ai/warranty/WC-3318
NORTHSIDE ELECTRICALReceipt 0418-22719 · Store 12
Washer-dryer WD-8400899.00
Serial7Q4-118203On 3 other claims
Purchase date14/03/2025Date edited
TOTAL€899.00
- TPurchase date edited0.94
- ⋔Serial on 3 other claimsnetwork
Proof-of-purchase checks 6 shown
- Retailer trades at addresspass
- Price matches the retailerpass
- Serial number formatpass
- Totals and VAT add uppass
- Purchase date uneditedfail
- Serial not claimed beforefail
Every document behind a warranty claim.
Receipts and proof of purchase
Till receipts, order confirmations and e-receipts, photographed on a phone or forwarded by email.
Repair and service invoices
Invoices from repair agents and dealers, checked line by line and priced against the market.
Refund and return receipts
The receipt behind a refund or return, and the proof of purchase behind a chargeback dispute.
Photos and supporting files
Photos of the product, serial plates and damage, reviewed together with the receipt on the same claim.
What warranty fraud detection has to catch.
A receipt is the cheapest document in the claim to fake. These are the patterns we see most.
Edited purchase dates
A date moved forward to bring a product back inside its warranty is found on the receipt image itself.
Serial numbers claimed twice
The same serial number, or the same receipt, on more than one claim is matched across your history.
Retailers that do not exist
Retailer names, addresses, VAT numbers and phone numbers are checked, so a shop that does not trade anywhere is flagged.
Repair invoices above market
Parts and labour on repair invoices are priced against the market, so padded repairs stand out.
From one document to a decision. In seconds, not days.
Every file goes through the same four stages. Your team only sees what needs a human.
Ingest
API, email forwarding or upload. Receipts, invoices, PDFs, phone photos: one file or a hundred.
Inspect
Custom models for AI fakes, tampering and edits, plus 200+ checks on every invoice.
Cross-reference
A holistic review compares every file on the claim and clears flags the full picture explains.
Decide
A risk score with evidence pinned to each document, sent to your system or inbox.
Why metadata checks miss warranty fraud.
- A phone photo of an edited receipt has perfectly normal metadata.
- Docklands AI inspects the receipt image itself for AI generation, manual tampering and digital edits.
- Serial numbers, receipts and repair agents are cross-referenced across claims to catch reuse.
- Findings come back with the evidence located on the document, ready for the claims handler.
What the metadata says
- DeviceiPhone camera
- Created14/09/2026 18:02
- Edited withnone
- VerdictLooks clean
What the pixels say
- Generator fingerprint0.97
- Total re-written0.91
- Cloned digits2 regions
- VerdictHigh risk
See what Docklands AI finds in your own documents.
Your first 1,000 documents are checked free.
What is warranty fraud?
Warranty fraud is a claim for a repair, replacement or refund that the warranty does not cover, backed by documents that have been faked or changed. The most common versions are simple: a purchase date moved forward so an old product looks new, a receipt for a product that was never bought, or the same serial number claimed more than once.
It also comes from the supply side. A repair agent or dealer can bill for parts that were never fitted, or for more labour than the job takes. Each claim looks small, so it is usually paid without a close look, and the losses add up across thousands of claims.
Fake proof of purchase in the age of AI
A convincing till receipt now takes seconds to generate, complete with a store logo, a crumpled-paper texture and a believable serial number. A handler checking dozens of claims a day cannot tell it from the real thing.
Docklands AI runs its own models on every receipt image to find the fingerprint generators leave in grain, print and light, and checks for manual edits such as a changed date or price. The receipt is then checked like an invoice: the retailer, the totals, the VAT and the price of the product against the market.
Warranty fraud rings and collusion
Some warranty fraud only shows across claims. A repair agent and a group of customers can work together, the same serial plate can appear on claims under different names, or several "different" repair shops can be paid into the same bank account.
Docklands AI links claims that share a serial number, receipt, bank account, phone number or repair agent, so a ring shows up as one pattern instead of many small claims that each pass on their own.
Security
Built for claims data.
Your documents stay protected, auditable and where you need them.
Multi-factor login
MFA with backup codes, trusted devices and guided recovery.
US or EU data residency
Choose where your documents are processed and stored.
Full encryption
Every document and every finding is encrypted.
Custom data retention
Keep documents as long as your policy requires, and no longer.
SOC 2 Type I
Independently audited security controls.
ISO 27001
Certified information security management.
FAQ
Warranty fraud detection questions.
What are the signs of warranty fraud?
Signs include AI-generated proof of purchase with consistent generation fingerprints, edited purchase dates to bring receipts within the warranty window, serial numbers reused across multiple claims, retailers with no real address and multiple claims sharing the same repair agent or bank account.
How do companies detect fake receipts for warranty claims?
Fraud detection systems analyze receipt images for AI generation patterns, check for edited dates and prices at pixel level, validate retailer addresses and VAT numbers, compare prices against market rates and link claims that share serial numbers or repair agents.
Can Docklands AI detect a fake proof of purchase?
Yes. It runs its own models on the receipt image to detect AI generation and manual edits, then checks the retailer, totals, VAT and price.
Can it catch an edited purchase date?
Yes. Edited dates, prices and totals are found on the receipt image, with the evidence located on the document.
Does it find serial numbers used on more than one claim?
Yes. Serial numbers, receipts and repair agents are matched across your claims, and repeats are linked and flagged.
Does it work for refunds and returns?
Yes. The receipt behind a refund or return is checked the same way as a warranty proof of purchase.
How do documents get to Docklands AI?
By REST API, email forwarding, SharePoint or Google Drive. Results go back to your claims system or inbox.
Still have a question? Ask us on a call. Book a call
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