Fit Collective AI helps fashion brands increase margins by preventing unprofitable products before they are repeated or scaled.
Fashion is about two things: 1) making clothes people keep, and 2) persuading customers to buy them. Innovation has focused almost entirely on the latter - and everyone loses. Retailers overspend on advertising, consumers pay more for worse products, and the planet suffers.
Fit Collective AI fixes 1). We are a copilot for fashion production teams, turning disconnected sales, returns, reviews, and PLM data into actionable insights and automated AI agents. By informing production decisions before products are repeated or scaled, we eliminate unnecessary costs, improve margins, and drive profitable growth.
Production teams make hundreds of thousands of decisions each season with limited, delayed feedback on how products actually perform once they reach customers. The result is inconsistent sizing, loss-making SKUs, rising return rates, and margin erosion - often without teams knowing where profit is leaking.
Fit Collective AI operates at SKU, size, and attribute level to flag high-risk products and recommend precise actions, including grading and measurement changes, PDP updates, and repeat-buy decisions - at the moment decisions are made.
Unlike fit recommendation tools, 3D design software, or post-purchase analytics, Fit Collective AI operates pre-production, preventing poor-performing products before they are manufactured. One leading enterprise retailer has already identified £30m+ in preventable revenue loss, while reducing returns and operational waste.
