AI for Claims Handling in Retail: Money Other People Owe You
A retailer is owed money by more parties than it tends to notice. A pallet arrives crushed at a regional depot. A supplier ships eleven cases against an order for twelve. A delivery partner loses a parcel somewhere between a van and a doorstep, and the shopper is refunded the same afternoon. A kettle fails inside its warranty and a store hands over a replacement. A chiller trips over a long weekend and a manager bins the contents on Tuesday morning.
Every one of those is money that belongs to somebody else's account. Each needs a claim assembled against a different counterparty, in that counterparty's preferred format, inside a window written into their terms rather than yours.
What makes retail claims distinctive is not difficulty. Individually they are simple. It is that they are small, numerous, spread across four kinds of counterparty at once, and owned by nobody in particular. The person holding the evidence is a shift supervisor on a loading bay with a trolley queued behind them. The person who could file the claim sits in a finance or insurance function that never saw the pallet. So the evidence is captured badly or not at all, the claim is never raised, and the money quietly becomes shrinkage, wastage or a cost of trading.
The claims nobody is paid to chase
A retail claim dies at the point where assembling it costs more attention than it is worth to the person holding the evidence. That calculation is entirely rational for the individual and badly wrong for the business, because the claims are correlated. The same supplier short ships regularly. The same lane damages the same product. The same site floods.
It stays unsolved because solving it means reading a goods receipt note against a purchase order, finding a photograph taken by a colleague who has since gone on holiday, working out which agreement applies, and filling in a portal form, for a sum that will never justify a meeting.
Agents suit that shape of work. Assembling evidence is retrieval, matching and drafting. The judgement left over, which claims to press and which relationships to protect, is a far smaller job than the one currently crowding it out.
A short delivery at a back door at six in the morning
Inbound receiving is where most of the recoverable value is created and lost. Cases are short, pallets are damaged, date codes are too tight to sell, chilled stock arrives warm, and a booking that should have been three pallets arrives as two with no paperwork explaining the third.
An agent can read the goods receipt against the purchase order and the advice note, group the differences into claim candidates rather than isolated exceptions, and work out from the delivery terms whether the claim lies against the supplier who sold the goods or the carrier you booked to move them. Those are different claims with different evidence and different windows, and picking the wrong counterparty wastes both windows.
The output is a claim, not a payment decision. Whether you withhold against the invoice is a payables question with its own owner. What the register needs is a dated, evidenced demand against the right party.
Every delivery partner wants a different form in a different portal
On last mile, you are likely to use several delivery partners, and each has its own definition of the problem. One will not treat a parcel as lost until a waiting period has elapsed. One requires the recipient's own statement. One requires photographs within a tight window of delivery. One caps liability by weight, one by parcel, one excludes whole product categories outright.
An agent holds those rules per partner and applies them without anyone having to remember which is which. It watches for orders you refunded or replaced for non delivery, damage in transit or a missing item, matches each back to the consignment and the partner that carried it, assembles the evidence that partner specifically demands, and prepares the submission.
It then tracks what happens next, which is where most of the leakage sits. Submitted, acknowledged, queried, denied and paid are five different states, and a claim parked in the third for a month is indistinguishable from one nobody filed.
You have already refunded the customer
When a product fails, you stand in front of the shopper and put it right. That is the correct behaviour and usually the legal position. The problem is that putting it right closes the case, and the recovery leg against the manufacturer or supplier never starts.
An agent picks that leg back up. It links the replacement or refund to the model, batch and supplier, keeps the defect description, the purchase date, the serial and any engineer or returns inspection note together as a file, and raises recovery under the terms of the supply agreement rather than as a favour.
More usefully, it aggregates. One failed kettle is not worth a supplier's attention. The same fault across a model and a production batch is a conversation that changes the range, the warranty reserve and the next buying negotiation. That pattern is visible only if somebody holds all the individual files, which is work no person is going to do by hand.
A chiller failed overnight and nobody printed the log
Insured losses at a store or a depot behave differently again. Stock damage, escape of water, fire, refrigeration breakdown and business interruption all sit inside policy conditions that require prompt notification and evidence which only exists in the hours immediately after the event.
That is the failure mode. Temperature records get overwritten. Disposal happens before anyone photographs it. The stock position at the moment of loss is recoverable from the system for a while and then becomes genuinely hard to reconstruct. By the time the claim is being prepared properly, the best evidence has aged out.
An agent attached to the event can act at the right moment: capture the temperature history around the excursion, pull the stock on hand at the affected site and location, prompt for photographs and a disposal record before the waste is collected, and note the trading pattern at that site before and after for the interruption element. It prepares the notification promptly, because notifying early costs nothing and notifying late can cost the cover.
Photographs taken by whoever had a phone
Retail claim evidence is not produced by claims people. It is produced by colleagues doing something else, usually in a hurry, often in poor light. You get a photograph with no reference in the frame, a proof of delivery with an exception scrawled next to a signature, a note in a messaging group that says the top three cases were soaked.
Two things help. First, prompting at the point of capture, so the colleague is asked for the reference, the pallet label and a wide shot as well as a close one, because that request is cheap at the back door and impossible a week later. Second, indexing afterwards: an agent transcribing the handwritten exception, recording its own confidence, filing the image against the right consignment and keeping the original beside the transcription.
An agent should also say plainly when a claim cannot be supported by what exists. A clean signature with no exception noted is a weak position, and knowing that on day one is worth more than discovering it in a denial.
Which contract you signed decides when the claim dies
Across carriers, suppliers, manufacturers and insurers, the rules you are operating under are not yours and are not consistent. Notification windows differ. Required evidence differs. Liability caps differ in both amount and in what they are calculated on. Some agreements exclude the exact scenario that keeps recurring.
An agent can read those agreements once and turn them into a usable rules table: who to notify, within what period from what trigger event, with what evidence, up to what limit, with which exclusions. Every new claim then inherits the right clock automatically instead of depending on someone recalling it.
The same exercise surfaces something uncomfortable and useful, which is where your own terms are weaker than people assume. A legal reading still needs a lawyer. Extracting the operational parameters and keeping them current does not.
Who in the business is actually going to run this
Claims cross store, depot, buying, finance, loss prevention and your broker. That is why they stall. The practical deliverable is a single register of money owed inward, with each claim showing its counterparty, its evidence, its deadline, its state and the one named person who can release correspondence.
Keep the register narrow. Deciding whether a shopper's return is honest, talking to that shopper, and approving a supplier invoice for payment are three separate controls with three separate owners. Claims handling here means the money other organisations owe you, and the discipline of collecting it.
Where AI fails here
Some claims should not be raised. A strategically important supplier with a long relationship and a thin margin may be worth more than the recovery, and a buyer may be in the middle of a negotiation where this claim is a worse weapon than a conversation. No agent knows that. It can present the file and the number; the decision to press or let it go is commercial.
Photographs do not establish causation. An image of a crushed carton says nothing about when it was crushed, who had custody, or whether the goods inside are affected. An agent will describe it fluently and may imply a conclusion the picture does not support.
Policy interpretation is not extraction. A confident paragraph explaining why an exclusion does not apply reads like advice and is not. Insurers and brokers decide coverage, and an agent stating otherwise internally creates false expectations that distort reserves.
Nothing goes outward unreleased. A claim, a denial response and a quantified demand all bind you in front of another company. Draft automatically, release deliberately, and enforce that in the system rather than in a policy document.
Then the quiet failure. A beautifully assembled file built on a misread serial, a misread date code or the wrong consignment reference will look more credible than a scruffy correct one. It gets submitted, it gets denied on the facts, and the denial is usually final. Repeated sloppiness also costs you standing with the counterparty, which is expensive in a relationship you will be claiming against again next month. Keep the source document next to every extracted field and make checking it easier than trusting it.
Recovery is a deadline business
Start with the deadline register, not the assembly. Build the rules table for the counterparties you already claim against, apply it to every open and newly opened claim, and let it drive a daily list ordered by what expires first. That alone recovers claims you are currently losing on time rather than on merit, and it fails safely: a wrongly diarised claim costs a glance.
Then fix evidence capture at goods in, because it is the cheapest point to improve every downstream claim at once. Only then automate assembly, one counterparty at a time, against a partner whose process you know well enough to judge the output.
Measure it by claims raised that would not otherwise have been raised, and by claims lost to expiry. Both are countable before and after, which is more than most automation can offer.
If you want a frank view of which parts of this your operation could hand to an agent and which parts it should keep, describe the process to Adopt AI Partners at hello@adoptaipartners.com.