Use Cases· 3 min read· By The SpideyChat Team

Stock Questions Across A Retail Chain Nobody Can Answer

Eighty shops, one website, and no way to find out who has it. A teardown of chain stock questions.


A customer wants something today. A chain with eighty shops sells it, and three of those shops are within a reasonable distance.

The website lists the product and offers delivery in two days. It does not say whether any shop has it, and the store pages have telephone numbers she would have to ring one at a time.

She buys it from a different retailer with next day delivery. The chain had it in two of the three nearby shops, and she was willing to drive there that afternoon.

The first failure: the stock data is not exposed

It exists, in a system, accurately enough to run the business, and it is not connected to the thing customers actually look at.

The second failure: accuracy is used as the reason not to publish

Perfect accuracy is impossible and honest approximation is entirely acceptable, and the fear of being slightly wrong prevents a considerable amount of revenue.

The third failure: the customer is asked to ring round

Which almost nobody does, and which occupies shop staff who are serving people in front of them.

The fourth failure: there is no reservation option

Which would convert the journey with certainty, and which most chains do not offer despite having the systems to do it.

The fifth failure: the nearby stores are not suggested

If one shop does not have it and another does, the customer should be told rather than left to check each one.

The sixth failure: the collection option is buried

Ordering online for collection solves the whole problem and is frequently presented less prominently than delivery.

The seventh failure: the delivery default cannibalises the shops

A customer who would have visited a shop is sold a delivery, which costs more to fulfil and removes every chance of an additional purchase.

The eighth failure: the range differences between stores are invisible

Larger shops carry more, and nothing tells a customer that the nearest shop is the smallest one in the region.

The ninth failure: the enquiry arrives when the shops are closed

Evening browsing about a purchase intended for tomorrow, with nobody available to confirm anything.

The tenth failure: the demand signal is discarded

Which products people looked for near which shops is buying information, and it is not captured anywhere.

The eleventh failure: the opening hours compound it

A customer who establishes a shop has something still needs to know it is open, which is the drift problem in store stock and opening hours questions across a chain.

The twelfth failure: the loss is attributed to online competition

Rather than to the absence of a sentence telling a willing customer that the thing she wanted was fifteen minutes away.

The thirteenth failure: the shop cannot see the rest of the estate either

Staff asked whether another branch has something frequently cannot check quickly, so even a customer who does telephone gets an uncertain answer. The data gap affects the people serving customers as much as the customers themselves.

The fix: answer the branch questions honestly, at any hour

An assistant that answers from the branch and range information you publish, explains how click and collect works, takes the customer's details and the item so the nearest shop can call back to say whether it is in, and gives the opening hours converts the customer who currently buys elsewhere. The branch specific pattern sits in multi store retailers and branch specific questions, the voucher questions in gift card and voucher questions retail chains answer, and the underlying failure in is it in stock the question retail websites fumble. Start at try, see features, and the sector view sits under retail.

Frequently asked questions

Why can customers not see stock by store?
Usually because the data exists in a system not connected to the website, or because the chain does not trust its own accuracy enough to publish it.
Is imperfect data better than none?
Considerably, provided it is described honestly. Showing likely availability with a clear caveat converts far more than showing nothing at all.
What does the absence cost?
The sale, since a customer who cannot establish that a shop has something buys it online, frequently from the same chain at lower margin or from somebody else entirely.

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