Fashion works in seasons, and every season repeats the same cycle on a brutal timeline: collection, order intake, production, delivery, replenishment, sale. The same activities, twice a year, always in a rush. It is the perfect profile for automation and almost nobody uses it.
The worst moment is order intake. Orders arrive from agents, showrooms, trade fairs and direct accounts, each in its own format: a file, a photograph of a sheet, a message. Somebody keys them all in by hand, during a week when every day lost pushes the delivery back.
An AI agent reads those documents in the formats they actually arrive in, pulls out lines, sizes and colours, normalises them against your structure and flags only the anomalies. Order intake stops being the bottleneck of the season.
Fashion treats returns as a fixed cost. But the reason for the return, collected in a structured way, says precise things: which style runs small, which colour disappoints against the photo, which size needs recalibrating. That is information worth having for the next season and it usually gets lost in a free text field nobody reads.
Replenishing on total units sold is the fastest way to fill a warehouse with sizes nobody buys. The system looks at the real sell out curve by size and colour per store, compares it with stock and proposes. The decision stays human, but it starts from a number.
Book a call with BUILDER: we look at the process that costs you most and tell you what is worth automating, with a clear next step within 24 hours.
BUILDER designs and builds the system behind this guide.