EDITED

EDITED

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EDITED's AI-powered Retail Intelligence Platform helps retailers make data-driven decisions on trends, assortments, pricing, and competitive benchmarking to drive revenue and reduce waste.

About

EDITED is an enterprise-grade Retail Intelligence Platform that harnesses AI to give retailers and brands a decisive competitive edge. By aggregating and analyzing vast amounts of market data in real time, EDITED enables teams across buying, merchandising, eCommerce, and planning to act on actionable insights rather than instinct. The platform's core modules cover the full retail lifecycle: Assortment Intelligence helps build optimized product ranges and reduce overstock; Pricing Intelligence enables smarter promotional and launch pricing to protect margins; Site Merchandising tools boost product visibility and discoverability; and Customer Product Matching ensures the right products reach the right audiences. EDITED's trend prediction capabilities offer early signals validated by market data, allowing buyers and designers to bet on the right trends before they peak. Competitive Benchmarking delivers real-time insight into competitor moves, uncovering threats and opportunities across pricing, assortment gaps, and market positioning. Real-world impact from customers demonstrates the platform's value: PVH increased sales by 27% after optimizing launch pricing; MANGO gained 900K new online customers and grew eCommerce revenue by 50%; and Hollister generated $500K+ in incremental revenue through trend identification. EDITED also offers a Market API for data teams needing programmatic access to retail market intelligence. Designed for buyers, designers, merchandisers, planners, eCommerce teams, and insights analysts, EDITED is the go-to platform for retailers seeking to reduce risk and drive profitable growth through AI-powered intelligence.

Key Features

  • Trend Prediction & Analysis: Identify emerging trends early with AI-validated signals, allowing buyers and designers to make confident, timely decisions on which trends to pursue.
  • Competitive Benchmarking: Monitor competitor pricing, assortments, and market positioning in real time to uncover threats and opportunities across your category.
  • Assortment Intelligence: Build and optimize product assortments faster, reduce overstock, and increase sell-through rates with data-driven range planning.
  • Pricing Precision: Set smarter launch and promotional prices to protect margins and maximize revenue using real-time market price benchmarks.
  • Market API: Programmatic access to EDITED's retail market intelligence for data teams and analysts needing to integrate insights into their own workflows and systems.

Use Cases

  • Retail buyers and designers using AI-validated trend signals to identify and act on emerging fashion trends before they peak.
  • Merchandising teams optimizing product assortments to reduce overstock, minimize waste, and improve sell-through rates.
  • eCommerce teams improving product visibility and discoverability on-site to increase revenue per visit.
  • Pricing teams benchmarking competitor prices in real time to set optimal launch and promotional pricing that protects margins.
  • Data and insights teams using the Market API to integrate retail intelligence into custom dashboards and analytical workflows.

Pros

  • Proven Revenue Impact: Customers like PVH (27% sales increase), MANGO (50% eCommerce revenue growth), and Hollister ($500K+ incremental revenue) demonstrate measurable ROI.
  • End-to-End Retail Coverage: Covers the full retail lifecycle from trend spotting and assortment planning through to pricing, site merchandising, and customer matching.
  • Real-Time Market Data: Delivers up-to-date competitive intelligence and market context, enabling teams to act quickly on emerging opportunities.
  • Cross-Team Applicability: Purpose-built workflows for buyers, designers, merchandisers, planners, eCommerce teams, and data analysts across the retail organization.

Cons

  • Enterprise Pricing: EDITED is a premium enterprise platform; pricing is not publicly disclosed and may be prohibitive for smaller retailers or startups.
  • Retail-Specific Scope: The platform is purpose-built for fashion and retail, making it less relevant for businesses outside the retail and eCommerce industry.
  • Requires Demo to Evaluate: There is no self-serve trial or free tier — prospective customers must schedule a demo to assess fit, adding friction to the evaluation process.

Frequently Asked Questions

What is EDITED and who is it for?

EDITED is an AI-powered Retail Intelligence Platform designed for retail brands and merchants. It serves buyers, designers, merchandisers, planners, eCommerce teams, and data analysts who need real-time market insights to make smarter business decisions.

What types of insights does EDITED provide?

EDITED provides insights across trend analysis, competitive benchmarking, assortment optimization, pricing strategy, site merchandising, and customer product matching — all powered by AI and real-time market data.

Does EDITED offer an API?

Yes. EDITED offers a Market API that gives data teams and analysts programmatic access to retail market intelligence for integration into their own tools and workflows.

What results have EDITED customers achieved?

Results vary by use case, but documented customer outcomes include PVH increasing sales by 27%, MANGO gaining 900K new online customers and growing eCommerce revenue by 50%, PUMA generating $200K from identifying sale opportunities, and Woolworths unlocking a 110% price increase opportunity.

How can I get started with EDITED?

EDITED does not offer a self-serve sign-up or free trial. You can get started by requesting a demo on the EDITED website, where their team will walk you through the platform and tailor a solution to your needs.

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