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The world's leading AI-driven retail intelligence platform for real-time market and pricing data.

EDITED is an enterprise-grade retail intelligence platform that leverages advanced computer vision and natural language processing to provide retailers with real-time data on global market trends. The platform monitors over 4 billion SKUs across thousands of brands, allowing merchandising and buying teams to benchmark their assortment, pricing, and promotional strategies against competitors with surgical precision. By 2026, EDITED has solidified its position as the critical layer in the retail stack, moving beyond simple data aggregation into predictive generative AI that suggests inventory shifts before market movements occur. The technical architecture combines massive-scale web crawling with deep learning models that categorize products by silhouette, color, fabric, and price point. This allows for 'apples-to-apples' comparisons across disparate global datasets, solving the long-standing retail problem of fragmented competitive visibility. Its integration-first approach allows for seamless data flow into ERP and PLM systems, enabling automated markdown optimization and dynamic pricing workflows that protect margins in a volatile macro-economic environment.
EDITED is an enterprise-grade retail intelligence platform that leverages advanced computer vision and natural language processing to provide retailers with real-time data on global market trends.
Explore all tools that specialize in forecast market trends. This domain focus ensures EDITED delivers optimized results for this specific requirement.
Explore all tools that specialize in forecast trends. This domain focus ensures EDITED delivers optimized results for this specific requirement.
Uses deep learning computer vision to identify identical or similar products across different retailers regardless of naming conventions.
Algorithms that analyze historical sell-through and current market saturation to suggest optimal markdown timing.
Visual representations of product density across price points and categories globally.
NLP processing of customer reviews and social mentions regarding specific product categories.
Monitors competitor claims and product attributes related to eco-friendly materials and ethical manufacturing.
Correlates competitor out-of-stock events with market demand spikes.
Historical and real-time tracking of email newsletters and homepage communications from competitors.
Initial discovery call to define regional markets and key competitor sets.
Technical scoping for ERP/PLM integration via REST API.
Account configuration and user hierarchy setup by the EDITED Customer Success team.
Mapping internal product categories to EDITED's universal retail taxonomy.
Connection of internal inventory feeds for stock health monitoring.
Training sessions for merchandising teams on visual search and dashboarding.
Configuration of real-time alerts for competitor price drops or stock-outs.
Setting up automated reporting cadences for executive stakeholders.
Pilot phase to validate data accuracy against historical internal benchmarks.
Full platform deployment across global buying and planning departments.
All Set
Ready to go
Verified feedback from other users.
"Users praise the visual matching accuracy and the depth of global data, though some note the learning curve for advanced reporting features."
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