Stylumia applies AI to fashion demand prediction, helping brands decide what to design, buy and produce.
Stylumia builds demand-sensing models for fashion and lifestyle retail, analyzing consumer signals, competitor assortments and market movement to predict what will sell. Its platform supports trend spotting, assortment planning and inventory decisions.
Serving brands and retailers globally, Stylumia focuses on the decision points where fashion loses money โ overproduction, missed trends, dead stock. By grounding design and buying decisions in predicted demand, it aims to raise sell-through and cut markdowns.
Fashionโs margin problem is largely a prediction problem: too much of the wrong inventory and not enough of what sells. Stylumia applies demand-sensing models to consumer and market signals, predicting product-level appetite before buy commitments are made. Trend and competitive analysis inform design direction, while demand forecasts guide quantities and replenishment. The focus on sell-through and markdown reduction keeps the business case concrete: every percentage point of avoided markdown is margin recovered. Operating with brands and retailers globally, the platform adapts to category and market differences. For planning teams, the value is evidence for decisions that were previously driven by instinct and last seasonโs numbers.
Aligning quantities with predicted appetite also improves supplier relationships: buy commitments are firmer and more accurate, which benefits both margin and the working capital tied up in inventory.
Analytics tools in this category succeed when they close the gap between data and decision: models must surface the right signal at the moment of action, integrate with operational systems, and keep accuracy visible as conditions drift over time.
Stylumia is sold through enterprise agreements scoped to categories and modules.
Fashion brands and retailers optimizing design, buying and inventory decisions. Also fits merchandise planners aligning buys and replenishment with predicted consumer appetite, and to brands reducing markdown exposure through earlier and more granular demand signals across categories.
No self-serve tier; engagements are enterprise-based.
Stylumia integrates with retail and planning systems; details are arranged per customer.
Compared with generic demand planning tools, Stylumia is fashion-specific with consumer signal models, trading cross-category breadth for attribute-level depth.
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