Assortment · For Retailers & Brands

Unmet Demand Signals

Demand for what you did not have.

What is unmet demand signals?

Unmet demand signals are the requests customers make in store for products, variants, sizes or features the retailer does not carry or has out of stock, captured from consented conversations and ranked by frequency so assortment decisions rest on what was asked for, not only on what sold.

Also searched as: assortment gap analysis, lost sales stock out, customer demand signals retail. Part of the Market & Competitor Intelligence use case.

Sell-through is a record of what you stocked. It is silent about the customer who asked for the variant you did not carry, was shown the one you did, and left. Unmet Demand Signals gives that customer a voice in your range decisions, store by store, so assortment is built on what people asked for, not only on what happened to be on the shelf.

The blind spot

Every assortment decision in retail is made on half the evidence. The half that sold. The 256GB variant that was requested forty times and stocked twice appears in no report, because a request for an absent item leaves no trace in a billing system. The network keeps ordering last quarter's mix and keeps losing this quarter's customers.

Store managers know some of this and say so inconsistently. By the time it reaches the category team it is anecdote, and anecdote loses to the sell-through spreadsheet every time.

What changes

The request becomes data. What was asked for, whether it was there, whether it was offered, and what the customer did instead.
Demand appears where it was never visible: in the stores that did not stock the item.
The category team gets a second column beside sell-through. What sold, and what would have.
A customer who asked for something you did not have stays connected to that request, so a restock can become a conversation again.

What you will know

A ranked list of what customers asked for and could not buy, per store, per week.
Feature and finance requests your range and your offers do not cover.
Geographic demand that sell-through cannot show, because the item never reached that geography.
Which requests are turning into walk-outs.

On the floor

A mobile retailer discovers one storage variant of a popular model being asked for dozens of times a week across five stores and rarely stocked, because the order pattern was built on last quarter's sell-through, which could not show demand for an item that was not there. The mix is corrected. The advisors go back to the customers who had asked. The category team starts reading the unmet-demand list beside sell-through every Monday, and range reviews change shape.

Questions this answers

What did customers ask for last month that you did not have, or did not pitch?
How much demand are you losing to “we don't carry that” without ever knowing?

Frequently asked questions

Do we need to connect our inventory system?

No. The conversation itself tells us the item was not available or not offered. Inventory integration adds precision later; it is not required to start seeing the signal.

Is this for brands too?

Yes. A brand that can show a retailer how often shoppers asked for a variant the retailer does not stock walks into the range review with a stronger argument than any forecast.

How fast does a new demand pattern appear?

Within the week it starts. Long before it would show up as a gap in sell-through, if it ever would.