Retail & E-commerce
Computer vision and trend analytics for fashion retail — automating size recommendations, visual search, outfit suggestions, and planogram compliance checking.
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Industry overview
AI tools for fashion retailers that automate size and fit recommendations, enable visual product search, generate outfit completion suggestions, and monitor planogram compliance across store networks.
At a glance
Fashion retail presents unique AI opportunities that general retail analytics tools are not designed for. Fit and size uncertainty drives high return rates. Visual product search enables discovery that text search cannot match. Trend forecasting from social and runway data provides buying teams with signal before it appears in sales data. ArrayMatic builds fashion-specific AI tools that address these opportunities directly.
We build size and fit recommendation engines that reduce size-uncertainty returns by matching customer measurements to each product's fit profile. Visual search tools enable shoppers to upload images and find visually similar products from the catalogue. Outfit completion engines suggest complementary items based on the selected product's style, colour, and occasion. Planogram compliance checking uses in-store camera feeds to verify that store displays match approved visual merchandising plans — flagging deviations to the visual merchandising team.
Key capabilities
Engagements are scoped to your business context — these are the core capabilities we bring to retail & e-commerce clients.
Size and fit recommendation engine with return rate reduction tracking
Visual search from uploaded images across the product catalogue
Outfit completion and complementary product suggestions
Trend signal extraction from social media and runway data
Planogram compliance checking via in-store camera feeds
Virtual try-on integration for apparel and accessories
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