A worked example: warranty at a multi-store electronics retailer

This is a worked example, not a customer account. No retailer described here exists, no result below was observed anywhere, and every figure is an assumption stated so that you can replace it with your own. The value is in the method, not the numbers.

The archetype

A regional electronics retailer. Six stores. It sells a mix of own-brand goods, where it carries the warranty itself, and third-party stock, where the manufacturer does. Unit volume is high and the value per unit is low — accessories, small audio, peripherals, entry-level appliances.

That combination is the defining constraint. When an item is worth little, the cost of handling a warranty claim on it can approach or exceed the cost of the item, which means every extra minute in the process is material in a way it would not be for a business selling machinery.

The assumptions

Everything below rests on these. Change any of them and the conclusions change with them.

Assumption	Value
Stores	6
Units sold, chain-wide, per month	4,000
Share of units that are own-brand	30%
Units generating a warranty claim within coverage	2% of units sold
Coverage enquiries per store, per week	3
Counter time per claim, today	18 minutes
Back-office time per claim, today	12 minutes
Time to answer one coverage enquiry	6 minutes

From those: 4,000 × 2% = 80 claims per month, split roughly 24 own-brand and 56 third-party. Coverage enquiries run at 3 × 6 = 18 per week, or about 78 per month.

The current flow, step by step

At the sale. The till records the transaction and the model. Nobody records the serial number. A warranty card goes in the box for own-brand goods; for third-party goods, whatever the manufacturer put in the box is what exists.

When something fails. The customer comes into a store — not necessarily the one they bought from — with the item and, if you are fortunate, the receipt.

At the counter. The assistant has to establish four things, none of which are on screen: whether the item is in coverage, whether it is own-brand or third-party, whether it has been claimed before, and what the applicable terms say. The first is inferred from the receipt date. The second is usually obvious. The third is unanswerable. The fourth is somewhere in a folder.

Then a decision. Own-brand goods are handled in-house. Third-party goods are logged on a paper form, boxed, and sent to the manufacturer with a claim reference, after a phone call or a portal submission depending on which supplier it is.

Then chasing. Someone in the back office follows up on units that went out and have not come back, and on credits that were promised and have not appeared.

Where this breaks

Four failure points, in rough order of how much they cost.

Claim history does not cross store boundaries

Store 3 has no idea that store 5 replaced this customer's item eight weeks ago. There is no lookup that would tell them, and no reasonable expectation that a busy assistant would make a phone call to find out on a low-value item.

This is a structural blind spot, not a staff failure. It is also one of the easiest gaps to walk through deliberately, which is the point made at length in how warranty fraud actually happens.

Liability gets decided at the counter, under pressure

Whether a claim is yours or the manufacturer's is a question with a correct answer, and the correct answer depends on the product, the supplier agreement, and the elapsed time since sale. At the counter, with a queue, the resolution is often "just swap it" — which converts a recoverable cost into an absorbed one.

The second half of that problem is recovery. A claim sent to a manufacturer without a traceable serial and sale date is a claim the manufacturer can reasonably query, and a queried claim is one somebody has to build a case for later, usually without the evidence.

The process lives in people, and retail staff turn over

The rules are not written anywhere usable. They exist as accumulated knowledge in the two or three long-serving staff who know which supplier wants what, which items are notorious, and which customer has been in before.

Every new starter is trained by watching. Every departure takes a portion of the process with it. In a business with six stores and seasonal hiring, this is a permanent cost, not an occasional one.

Nothing accumulates

At the end of the year, the retailer knows what it spent on warranty in aggregate, and nothing else. Which product lines fail, how soon after sale, and which supplier is worst per unit sold are all unanswerable, because no record ties a failure to a specific unit and a specific sale date. The metrics that would drive purchasing decisions are described in the after-sales metrics worth tracking.

The current cost, in hours

Using the assumptions above, per month, chain-wide:

• Claims: 80 × (18 + 12) minutes = 2,400 minutes = 40.0 hours
• Coverage enquiries: 78 × 6 minutes = 468 minutes = 7.8 hours
• Total: 47.8 hours per month

Across six stores that is about eight hours per store per month — one working day each. It does not feel like a project, which is exactly why it never becomes one.

The redesigned flow

The change is small in description and specific in effect: the serial number is captured at the till, and the warranty record is created at the moment of sale.

Step	Before	After
Sale	Model and date recorded	Serial scanned, warranty registered, certificate issued to the customer
Customer checks coverage	Phones or visits a store	Scans the QR code on their certificate
Claim raised	Receipt inspected, coverage inferred	Serial looked up; coverage, terms and prior claims already on screen
Liability decided	Judgement at the counter	Own-brand or third-party is a property of the record
Manufacturer claim	Paper form, phone call	Claim exported with serial, sale date and fault history attached
Cross-store history	Does not exist	Every prior claim on that unit appears automatically
New starter	Learns by watching	Follows the on-screen flow from day one

The point about new starters deserves emphasis. When the checks are in the process rather than in someone's head, the difference between your best assistant and your newest one shrinks to how they talk to the customer — which is the part you actually want them focused on.

What it saves, and what it costs

Assume the redesigned flow takes 6 minutes at the counter and 6 minutes in the back office per claim, because the lookup replaces the investigation. Assume also that 60% of coverage enquiries stop reaching staff, because the customer can check their own certificate.

• Claims: 80 × 12 minutes = 960 minutes = 16.0 hours (was 40.0)
• Enquiries: 31 × 6 minutes = 186 minutes = 3.1 hours (was 7.8)
• New total: 19.1 hours, a saving of 28.7 hours per month

Now the part that usually gets left out of a business case. Registration at the till is not free — it happens on every sale, including the 98% that never produce a claim.

At 4,000 sales per month, the added time is:

Seconds added per sale	Hours added per month	Net change vs 28.7 hours saved
5	5.6	23.1 hours saved
10	11.1	17.6 hours saved
20	22.2	6.5 hours saved
30	33.3	4.6 hours lost

Break-even is 28.7 hours ÷ 4,000 sales ≈ 26 seconds per registration.

That single number should govern the whole project. A scanned barcode that populates the serial automatically sits comfortably inside the budget. A staff member typing a fourteen-character serial while a queue forms does not, and will also produce transcription errors — the reason serial schemes need check digits.

For a high-volume, low-value retailer, the registration interface is not a detail. It is the business case.

The part the hours do not capture

If registration only broke even on staff time, it would still be worth doing, because of three things that are not measurable in minutes:

1. Recoverable claims stop being absorbed. Suppose 1 in 5 third-party claims currently goes unrecovered for want of evidence. That is 56 × 20% = 11 claims a month; multiply by your own average unit cost to see the figure. Both the ratio and the cost are yours to fill in.
2. Duplicate claims become visible. Not predicted — looked up, across all six stores, before approval.
3. You acquire failure data. After one year of registrations you can rank suppliers by claim rate per unit sold, which is a purchasing lever you do not currently hold.

Where to start, if this is your operation

In this order, and not in parallel:

1. Serialise the sale for own-brand goods only. Smaller volume, you control the terms, and the liability is entirely yours.
2. Turn on cross-store claim lookup for whatever is registered. Immediate effect, no channel change.
3. Extend registration to third-party stock once the till flow is fast enough to survive a Saturday.
4. Only then start reporting on claim rate by supplier, because a year of partial data is worse than none.

Each step is independently useful, which matters: if step 3 stalls, steps 1 and 2 keep working. A migration that only pays off at the end is a migration that gets abandoned when the quarter gets busy — the same reasoning behind moving off paper incrementally.

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Warranlytics registers a warranty from the product catalogue at the point of sale, issues the customer a QR-verifiable certificate, and shows every prior claim on a unit when the next one opens — across all locations, not one. Whether the arithmetic above works for you depends on your own registration time, so start by measuring that. See how a claim runs end to end, or look at the free plan.