AI-powered retail intelligence platform for fashion and apparel
EDITED is an AI-powered retail intelligence platform that helps fashion, beauty, and home retailers make faster, data-driven decisions. Founded in 2009 in London, the platform connects three key data sources (company, competitor, and customer data) to provide holistic market insights, drawing on more than 5 billion SKUs and over 14 years of historical retail data. EDITED offers modular solutions for assortment precision, pricing precision, site merchandising and product visibility, and customer profitability analysis. Key capabilities include trend identification and validation, whitespace identification, competitive benchmarking, product matching, and AI-powered opportunities that flag products to introduce, highlight, or avoid. AskEDITED adds conversational analysis, and an MCP gateway brings EDITED data into AI assistants such as Claude, ChatGPT, and Copilot. EDITED serves brands and retailers including PUMA, Mango, Harrods, PVH, Hollister, and Woolworths. A Market Data API integrates competitive retail data into existing data lakes and BI tools.




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