Nobody calls to ask about a t-shirt. They call because the parcel is late, the size was wrong, or the piece they wanted came back into stock. That queue is post-purchase, it is seasonal, and it is the one that breaks.
WHAT THE CALLER JUST ASKED
“My order was supposed to arrive Tuesday and the tracking hasn’t moved since Friday.”
Example call. Illustrative interface, not a customer recording.
Why this category phones
A fashion buyer will happily choose a jacket without speaking to anyone. The product page does its job. Then the parcel is late, or the 12 fitted like a 10, and the same buyer wants a human — quickly, and usually during a peak week when the queue is already at its worst.
This is deflection and retention work, not conversion work. We are honest about that: on a €40 t-shirt there is no call to win. On the returns and delivery queue behind it, there is a real cost to remove.
Ordered by how often we hear them in this category. We do not publish a call-mix distribution we have not measured — replace this with your own tagged call log before you act on it.
None of these need product expertise. All of them need a live, correct record. That is the whole job in this category: read the right field, out loud, at eleven at night in the caller’s language.
“Where is my order, it was supposed to be here Tuesday?”
Carrier tracking events on the order, with the exception reason spoken plainly rather than as a status code.
carrier.events · order.promised_date“Can I exchange this for the next size up?”
Return eligibility window, plus whether that size is in stock right now — so the answer is an exchange, not a refund.
returns.window · variant.available“I sent it back two weeks ago, where is my refund?”
Return receipt scan at the warehouse and the refund state on the payment provider.
rma.received_at · payment.refund_state“When is this coming back in stock?”
Inbound purchase order date for the variant, and a callback booked for the day it lands.
po.expected_at · variant.id“Does this run small? I’m usually a 12.”
Garment measurements per size where you hold them, and an explicit hand-off when you don’t — the one question in this category the agent should refuse to guess.
variant.measurements · fallback: humanIf a row here could be copied onto another industry page unchanged, it does not belong on this page.
Recognise your own call log?
We’ll run these questions against your catalogue on the intro call.
The volume workflow in fashion. Carrier events read out loud, exceptions explained.
02Eligibility checked against policy, exchange offered before refund.
03Calls the customers who wanted it, instead of an email in a spam folder.
04Catches the problem while it is still fixable, and earns the review.
Hi, I ordered a coat last week, it was meant to arrive Tuesday and the tracking hasn’t moved since Friday.
Let me look. Order ending 8213, the coat in navy — it’s at the Milan depot and it was held there on Saturday because of a failed delivery attempt at the address. It’s scheduled to go out again tomorrow morning.
Nobody came on Saturday.
That happens more than it should. I can either leave it on tomorrow’s round, or reroute it to a pickup point near you — there’s one about four hundred metres from the delivery address.
The pickup point. And actually — if the size is wrong when it turns up, how does that work?
Thirty days from delivery. If it’s the size rather than the coat, I’d do an exchange instead of a return: the navy is in stock in both the size above and below, so it ships the day we scan yours back.
Good. Do the pickup point then.
Rerouted, and I’ll text you the pickup code when it arrives. Anything else on this one?
Illustrative transcript built from the workflows above. Not a customer recording; no customer data is shown.
Hear this run against your own data.
Same call, your catalogue, on the intro call.
This category asks less of your product data and more of your operational data. The failure mode is not a wrong recommendation — it is a confident wrong delivery date, which turns one annoyed customer into two calls.
THE HONEST PART
Bad source data produces confident wrong answers. If a field is stale, the agent will speak it fluently — and a wrong answer at speed is worse than a slow right one, because it converts into an order that fails. We audit the fields this page depends on before the pilot, and we cap the agent to hand over on anything unmapped.
Raw events, not a status label, so an exception can be explained rather than recited.
What the customer was actually told at checkout, which is often not what the carrier thinks.
Per channel and per promotion, so the answer on the phone matches the portal.
Live, so an exchange can be offered instead of a refund while the buyer is on the line.
Expected dates by variant, for back-in-stock calls that are worth making.
We start with your real call recordings and your real data. Four weeks, one workflow, a baseline measured before the agent goes live and again after. If the numbers don’t move, you stop — no annual lock-in, and no case study written before the result exists.
We baseline your current call volume, answer rate and missed-call hours first.
One workflow live in week one, on your own number, with a human fallback.
You see the transcripts of every call the agent takes, including the ones it hands over.
Two named customers, no logo wall — we won’t show you a client we don’t have.
Do fashion customers actually call?
Not usually before buying — that is the honest answer, and it is why this page leads with post-purchase. They call when a parcel is late, when a size is wrong, or when a refund has not landed. In peak weeks that queue is the one that overflows.
Is voice AI worth it if our average order value is low?
It depends on your call volume, not your order value. If the post-purchase queue is large and seasonal, the case is deflection and retention. If it is small and steady, self-service is probably enough and we will say so on the intro call.
Can the agent handle a size or fit question?
Only where you hold garment measurements per size. Where you do not, it hands over rather than guessing — fit is the one question in this category where a confident wrong answer converts directly into a return.
What happens during a sale week when volume triples?
Concurrency is the point. The agent takes every call at once rather than queueing them, which is when abandoned calls in fashion usually spike — and abandoned calls skew towards the customers with a problem.
Does it work in more than one language?
Yes, and in fashion that matters more than in most categories, because cross-border share is high. The agent detects the caller’s language on the first turn and stays in it, including the follow-up message.
We’ll run it against your own order data on the intro call — your carrier, your returns policy, your peak-week volume.
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