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Warranty-Claims Triage AI

AI that screens warranty claim submissions, reads the evidence, and routes incomplete or suspicious cases to a human, priced SaaS plus per-claim for EU sellers drowning in statutory 2-year claims.

Possible fit
Category
SaaS
Difficulty
Moderate
Revenue potential
Solid
Startup cost
€8k

Executive summary

A narrow EU warranty triage tool can work if it cuts the manual work before a person ever touches the claim.

Here's the problem. EU sellers must offer a mandatory 2-year statutory guarantee. They can't refuse valid claims. And processing a claim by hand costs EUR 30–45, with labor being 60–70% of that.

Don't start by building full warranty software. Start with a lightweight triage layer for mid-market electronics and appliance sellers, extended-warranty administrators, and repair-network operators. It checks whether the claim is complete, whether it's still under warranty, and whether anything looks like fraud, then passes only the hard cases to a person.

The opportunity is real, but keep the first product careful. Keep a human in the loop, integrate with only a few systems, and control tightly for false rejections. Get a statutory warranty wrong and you're exposed legally and to bad press.

  • People have to file statutory claims, so the volume is there whether you like it or not.
  • Reviewing claims by hand costs so much that automation priced at a few euros per claim sells itself on the savings.
  • Most competitors are either big enterprise software or insurance triage tools next door. That leaves room for something built just for warranty claims.
  • The biggest risk is getting the legal side wrong, not just the model being off.

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Questions, answered

What happens when a claim is obviously complete?

The product can auto-clear straightforward, in-warranty claims after checking the submitted photos, receipt, and fault text. Harder cases are routed to a human with the reason attached.

Will it replace our existing returns workflow?

No. The wedge is an integration-light triage layer that fits into the seller's existing returns or RMA flow instead of ripping out the stack.

How do you avoid rejecting valid statutory claims?

The report calls this the main risk, so the mitigation is a conservative auto-decide threshold, human approval for edge cases, and logging every decision reason.