How Warranlytics handles a warranty claim, end to end

A claim is the moment your warranty data either pays for itself or proves it was never really there. Registration, terms, certificates — all of it exists to make this one interaction short, consistent, and defensible.

So this post follows a single claim through Warranlytics, from the moment somebody types a serial number to the moment the record closes. No abstractions about workflow engines. Just what happens, in order, and what a human sees at each step.

Where does a claim start?

There are two doors into the same record.

A member of staff opens it. Someone at a counter, a service desk, or a support queue has a customer and a product. They search by serial number, by customer, or by the sale it came from.

The customer opens it. They have the digital certificate that was issued when the product was registered — a QR code or a signed verification link. They open it, see their own coverage, and start a claim from there. No account, no password, no app to install. Warranlytics is a mobile-optimised web platform, so the certificate opens in whatever browser is already on the phone.

Either way, the claim is created against the warranty record, not against a free-text description of a product. That distinction is the whole reason the rest of this process can be automatic.

What happens the moment a serial number is entered?

The platform resolves the serial to a warranty record. That record already holds everything the claim will be judged against, because it was written at registration:

• the product and its entry in the catalogue
• the date of sale and the selling location
• the warranty terms that applied to this unit at that date
• the current owner, including any logged transfers
• every previous claim, service visit, and repair against the same unit

If the serial resolves to nothing, the claim cannot be created as a warranty claim. That is deliberate. A claim against a serial that was never registered is not a borderline case that needs a reviewer — it is a missing fact, and the useful thing to do is say so immediately rather than after a technician has spent an hour on a diagnosis.

Which checks run before a human sees it?

Six, and they run automatically when the claim is created. They map one to one onto the six gaps described in how warranty fraud actually happens.

Check	The question	Where the answer comes from
Coverage	Was this unit registered through a channel you warrant?	The registration record
Expiry	Is the claim date inside the coverage window?	Sale date + registered terms
Duplicate	Has this unit been claimed for this before?	Claim history on the serial
Serial validity	Was this serial ever issued and is it still live?	Product catalogue and inventory
Ownership	Does the claimant currently hold this warranty?	The transfer log
Terms scope	Does the claimed fault fall inside the registered terms?	The versioned terms bound at sale

Five of those six produce a definite answer. The sixth — terms scope — surfaces the exact clause text rather than deciding for you, because "is a cracked housing a manufacturing defect" is a judgement and no system should pretend otherwise. What the platform can do is make sure the reviewer is reading the version of the terms that actually applied to this unit, not whichever PDF is current today.

Why is none of this a prediction?

Because every flag is a lookup, and every lookup traces back to a record you can open.

There is no model, no risk score, no "this claim looks unusual". Warranlytics does not use AI or machine learning for fraud detection, and it does not use blockchain — verification rests on QR codes and cryptographically signed links, plus a server-side audit trail and role-based access control. If the topic comes up in a procurement conversation, that is the accurate answer.

The practical consequence matters more than the architecture. A deterministic flag can be explained to a customer, argued with by a reviewer, and overturned with a reason. A probability cannot. When a claim is marked out of coverage, the reviewer can click through to the registration that set the sale date and the terms version that set the duration. When it is marked duplicate, they can open the earlier claim.

That is also why flags do not silently block anything. They decide which queue the claim lands in.

What does the reviewer actually see?

The claim arrives already marked clear or exception, and the reviewer opens it onto the unit's full history rather than a form.

On one screen: the product and serial, the customer and how long they have owned it, the coverage window with days remaining, the terms that applied at sale, every prior claim with its outcome, every service visit and repair logged against the unit, and the sale record it came from.

That single view is most of the answer to why warranty claims take so long. The delay in a paper or spreadsheet process is almost never the decision. It is assembling the facts the decision needs — a phone call to a branch, a search through a filing cabinet, an email to whoever remembers.

An exception is not a rejection. It is a claim that needs a person, with the specific reason stated: coverage ended 14 March, or serial 4471-A has an approved claim for the same component from 9 November. Front-line staff can override with a logged justification, which is far better than forcing them to choose between the rules and the customer standing in front of them. The override is part of the record; the next reviewer sees who made it and why.

How is the decision recorded?

As an event on the claim, with the actor, the timestamp, and the reason. Approved, rejected, or escalated — the same structure either way.

Rejections carry the reason forward to the customer, which sounds like a small thing and is not. "This unit's coverage ended on 14 March" reads very differently from "claim denied", and it prevents the second contact where the customer asks why.

Approved claims move into service. The repair, replacement, or part dispatch is tracked against the same warranty record, not a separate job system that has to be reconciled later. Which means the next time anyone opens that serial number, the repair is already part of the unit's history — and so is the cost.

What does the customer get told?

Notifications go out at the points where a customer would otherwise chase you: claim received, decision made, service in progress, claim closed. These go out by email on every plan; SMS, available from Starter, covers invoices and sales only, not claim updates.

Throughout, the customer's own certificate link stays live. They can check the status themselves without opening a ticket. Given that "am I still covered?" and "what is happening with my claim?" are two of the highest-volume contacts in most after-sales operations, letting the customer answer both without a human is worth more than it looks.

What happens at closure?

The claim closes, and what remains is the audit trail: who opened it, which checks ran and what they returned, who reviewed it, what they decided, what was done, what it cost, and when the customer was told.

That trail is what makes the next claim faster, because it is the history the next reviewer reads. It is also what makes your analytics real — claim rates by product, failure patterns, resolution times, and warranty cost per line are all just aggregations of closed claims. If claims are closed in an inbox, none of those numbers exist.

What this process does not do

Worth being plain about the edges:

• It does not decide judgement cases. Terms scope surfaces the clause; a person decides.
• It does not catch a fault that was misdescribed at intake. Garbage in, garbage out still applies.
• It cannot check coverage for a unit nobody registered. Everything above depends on registration happening at the point of sale, which is a process change in your channel, not a software setting.
• It does not guarantee an outcome or a response time. There is no SLA attached to any of this.

The first three are the honest limits. The fourth is just accuracy.

If your terms are vague, the sixth check will stay manual forever — which is an argument for writing warranty terms that can actually be applied before you automate anything. Same for transfers: the ownership check is only as good as the transfer log behind it, which is why doing transfers properly matters more than it seems.

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Warranlytics runs these six checks on every claim, routes the result to a queue, and keeps the whole chain — registration, decision, repair, notification — on one record. Every flag traces to a specific document you can open. See the step-by-step claim process for the operational view, or start on the free plan.