Edited

Name: Edited
Brand: EDITED
Rating: 4.6 (4 reviews)

Empowering retailers with AI-fueled retail intelligence.

Est 2009|Valuation $56.1M|Raised $49.3M|38 Ref Customers

LinkedIn 19K|Web traffic 19K|FTEs 201|HQ London, England, GB

01Competitive Landscape

Narrative analysis

- EDITED vs pricing specialists (e.g., DataWeave): If the primary problem is continuous competitor price monitoring and matching accuracy, a pricing specialist may have deeper tooling and data quality narratives. EDITED’s differentiation is a broader retail intelligence position combined with internal data. - EDITED vs trend forecasters (e.g., WGSN): WGSN is historically stronger for long-range creative and buying direction, while EDITED emphasizes market-level competitive data and execution-oriented decisions.

Market share and adoption trends

The vendor states it serves a growing base of retailers and brands, but an independent market-share dataset was not identified in the reviewed sources.
Recognition signals in press and analyst mentions indicate visibility but are not equivalent to market share measurement.

	EDITED	DataWeave (Commerce/Pricing Intelligence)	WGSN (Trend Forecasting / Buying)
Starting Price	Quote-based (not publicly listed)	Quote-based (demo-led; pricing not clearly public)	Quote-based (demo-led; some products may be purchasable online depending on region/product)
Best For	Retailers seeking a combined view of competitor, internal performance, and customer data	Teams prioritizing pricing intelligence and product matching for competitive price monitoring	Design and buying teams needing long-range trend forecasting and narrative-led insights
Key Strength	Integration of market and enterprise data with modules across assortment, pricing, and site merchandising; retail-specific dashboards and templates	Emphasis on product matching accuracy and pricing intelligence depth; auditability and anomaly detection focus	Established forecasting brand and long-term trend narratives; creative direction support for buyers
Key Weakness	Limited public review footprint; public details on security posture and enterprise integration complexity are limited	May be more narrowly focused on pricing/commerce intelligence versus broader retail intelligence needs	Less oriented to real-time competitive operational pricing compared with specialist platforms

01Competitive Landscape

Narrative analysis

EDITED vs pricing specialists (e.g., DataWeave): If the primary problem is continuous competitor price monitoring and matching accuracy, a pricing specialist may have deeper tooling and data quality narratives. EDITED’s differentiation is a broader retail intelligence position combined with internal data.
EDITED vs trend forecasters (e.g., WGSN): WGSN is historically stronger for long-range creative and buying direction, while EDITED emphasizes market-level competitive data and execution-oriented decisions.

Market share and adoption trends

The vendor states it serves a growing base of retailers and brands, but an independent market-share dataset was not identified in the reviewed sources.
Recognition signals in press and analyst mentions indicate visibility but are not equivalent to market share measurement.

	EDITED	DataWeave (Commerce/Pricing Intelligence)	WGSN (Trend Forecasting / Buying)
Starting Price	Quote-based (not publicly listed)	Quote-based (demo-led; pricing not clearly public)	Quote-based (demo-led; some products may be purchasable online depending on region/product)
Best For	Retailers seeking a combined view of competitor, internal performance, and customer data	Teams prioritizing pricing intelligence and product matching for competitive price monitoring	Design and buying teams needing long-range trend forecasting and narrative-led insights
Key Strength	Integration of market and enterprise data with modules across assortment, pricing, and site merchandising; retail-specific dashboards and templates	Emphasis on product matching accuracy and pricing intelligence depth; auditability and anomaly detection focus	Established forecasting brand and long-term trend narratives; creative direction support for buyers
Key Weakness	Limited public review footprint; public details on security posture and enterprise integration complexity are limited	May be more narrowly focused on pricing/commerce intelligence versus broader retail intelligence needs	Less oriented to real-time competitive operational pricing compared with specialist platforms

Edited

01Competitive Landscape

Narrative analysis

Market share and adoption trends

02Market Map

01Competitive Landscape

Narrative analysis

Market share and adoption trends

02Market Map