EDITED

The company operates an enterprise SaaS and data platform model focused on retail decision support. It collects and normalises large-scale product and pricing data from the retail market and combines this with customers’ internal data (sales, inventory, customer behaviour) to deliver analytics, dashboards and automated recommendations. Value is created by improving retailers’ margin, sell-through and merchandising efficiency through more accurate pricing, assortment and promotion decisions.

Revenue is generated through multi-year or annual software subscriptions to the core retail intelligence platform, with customers able to license additional modules such as pricing optimisation, product matching, customer profitability analytics and programmatic access to data via an API. The firm further monetises data and analytics via integration projects, onboarding and consulting-style support around configuration, automation and workflow enablement for merchandising, pricing and analytics teams.

EDITED is a UK-based retail analytics SaaS company providing an AI-powered merchandising intelligence platform for brands and retailers. Its software combines external market data with retailers’ internal sales, inventory and customer data to support decisions on assortment planning, pricing, promotions, site merchandising and customer profitability.

The company generates revenue by selling enterprise software subscriptions, modular analytics products and data/API access, primarily to mid‑market and large retail and brand organisations. It also offers implementation, integration and related professional services. Customers use the platform to monitor competitors, match products across retailers, automate pricing decisions and connect market signals to internal retail workflows.