All guides · Moda & Fashion

Dashboards for fashion brands: sell out, sizes and reorders

BUILDER

Fashion generates enormous amounts of data twice a year and reads almost none of it in time. By the time the season is analysed, the next collection has already been produced.

Sell through, not units sold

Units sold flatter a brand. Sell through, meaning the share of what was delivered that has actually sold, is the number that says whether a style worked. Two styles with identical sales can have completely different sell through if one shipped twice the units, and only the second number should drive the next buy.

Size and colour, always

Reading sell out on totals is how warehouses fill up with sizes nobody wants. The curve by size and colour, per store or per account, is the only version of the number that supports a reorder or a markdown decision.

What the view shows

Stock at risk

Halfway through a season it is possible to calculate, style by style, what will not sell at full price at the current rate. That number is the difference between a planned markdown and a panicked one, and it is available weeks before anybody usually looks.

Returns as product data

Return rate by style, with the reason, says which pieces run small, which colours disappoint against the photograph and which sizes need recalibrating. It is information worth having for the next collection, and it usually dies in a free text field.

In short

Book a call with BUILDER: we start from the decisions you need to make and show you which view answers them, with a clear next step within 24 hours.

Related guides

Moda & FashionFashion e-commerce: the dashboard that explains why you do not convertModa & FashionReturns and customer care in fashion: the automation that handles themModa & FashionCRM for fashion: loyalty and clienteling

Work with BUILDER

BUILDER designs and builds the system behind this guide.

Work with us

Let's build the system your business needs.

Book a call
© 2026 BUILDER · AI Automation Studio for Business · Contact · Terms · Privacy · Cookie Policy · Mappa servizi MilanoLuganoDubaiSingaporeBeirutTokyo