Stylumia is a complete AI solution that enables fashion and retail companies to align creativity with real consumer demand. It transforms scattered data from across social media, search trends, and online stores into actionable insights that guide design, buying and merchandising decisions. The platform’s algorithms measure true demand rather than hype, helping brands identify which styles, silhouettes and colours will succeed in each region. Its design generation tool allows creative teams to explore new ideas based on data driven concepts while staying authentic to brand identity. Stylumia also provides demand forecasting modules that anticipate season-wise trends and optimise inventory levels to avoid waste. Through easy dashboards and visual reports, teams can compare product performance, understand consumer behaviour and build smarter collections. With Stylumia, brands gain the competitive advantage of knowing what will sell before launching, improving margins and sustainability across the supply chain.

Key Features

• AI based demand forecasting and consumer intelligence platform

• Predicts future trends in style, colour, fit and category using real data

• Demand sensing algorithms that separate true consumer signals from noise

• Automated design generation tools for creating data backed product ideas

• Visual analytics dashboards for assortment and inventory optimisation

• Supports sustainable production by reducing overstock and waste

Industries

• Fashion and Apparel Brands

• Retail and Lifestyle Chains

• Footwear and Sportswear Industries

• Design Studios and Fashion Houses

• Manufacturing and Merchandising Teams

• Marketing and Trend Research Departments

Stylumia helps fashion and retail brands base creative and business decisions on real market data instead of intuition. For example, a womenswear brand can analyse global trends to identify which dresses, colours and patterns will be in high demand next season, allowing the design team to plan smarter. A footwear company can use Stylumia’s demand forecasting engine to optimise its inventory by predicting regional size preferences and reduce unsold stock. A merchandising manager can compare historical sales data with live consumer signals to build data aligned assortments for upcoming launches. A sustainable fashion label can plan production around actual market demand, cutting down waste and improving profitability. By combining trend prediction, design generation and inventory analytics, Stylumia enables brands to reduce risk, improve accuracy and create collections that connect directly with what customers want.