Mapp Fashion is Mapp’s proprietary platform designed to connect product data, discovery, and recommendations into a single, coherent model for fashion retail.
It enriches every product with physical, contextual, and intent-based attributes using stylist-trained AI, creating a reliable product understanding that scales across digital touchpoints.
This structured product intelligence enables brands to improve discovery, move beyond generic recommendations, and deliver relevant similar-item suggestions and outfits that reflect how customers actually search for and buy fashion.
Mapp Fashion addresses the structural challenges of Fashion Retail: fragmented product data, poor product visibility, low recommendation relevance, and margin loss driven by returns and discounting. With a proprietary taxonomy of over 26,000 fashion-specific attributes, stylist quality assurance, and proven eCommerce results, Mapp Fashion delivers a level of precision and consistency that generic solutions cannot match, while integrating seamlessly with existing technology stacks.