Stylumia helps fashion brands make better merchandising decisions by turning consumer and retail data into easy-to-understand insights. Instead of relying on guesswork, teams can identify trends, forecast demand, and plan future collections with greater confidence. The platform is built for retailers looking to improve inventory planning and respond more quickly to changing customer preferences.

Fashion AI platform for True Demand trend forecasting and demand sensing

Key features

Consumer Intelligence Tool — trend discovery and one-click validation, ranked by sell-through, sales velocity, revenue velocity and discount behaviour
Demand Sensing algorithm — proprietary AI/ML engine surfacing True Demand rather than published supply-side trends
Apollo — new-product demand prediction from images plus attributes plus the customer's own transaction data
ImaGenie (Stylumia Labs) — predictive design shortlists, storyboards and mood boards tuned to brand DNA
Computer vision analysis — colour, print, pattern, silhouette and fabric read as forecasting inputs
Assortment and white-space analysis — gaps in range and price architecture, width versus depth
Localised assortment and taste modelling — consumer taste at store, region and country level
SKU-level demand forecasting — down to style, colour and size

Strengths

Predicts fashion trends, helps reduce overproduction, supports merchandising decisions, built specifically for fashion retailers

Integrations

Customer transaction data (file, deep, system)
Consumer Intelligence (basic, tool)

www.stylumia.ai

Stylumia

Key features

Strengths

Integrations

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