EDITED-rebrand

EDITED markets an AI-powered retail intelligence platform aimed at helping retailers and brands make merchandising decisions. The platform is organized around six stated use cases: trend predictability (identifying early signals about which trends to invest in), competitive benchmarking (monitoring market threats and opportunities in real time), assortment precision (building and optimizing assortments to reduce waste and improve sell-through), pricing precision (pricing and promotional decision support intended to protect margins), product positioning (improving product visibility and discoverability), and customer profitability (aligning offers with customer demand to support growth and engagement).

The company presents customer outcomes tied to these use cases, citing work with Hollister, PVH, PUMA, Woolworths, Harrods and MANGO across trend identification, launch pricing, markdown decisions, homeware pricing, product visibility and ecommerce customer acquisition.

Business model

EDITED sells access to a software platform for retail intelligence, positioning it for use by brand and retailer merchandising, pricing and ecommerce teams; prospective customers are directed to schedule a demonstration rather than self-serve.

Traction

Published customer results include Hollister generating over $500,000 in incremental revenue from trend identification; PVH increasing sales 27%, units sold 31% and category growth 5% through launch-price optimization; PUMA moving 600 options to sale for an additional $200,000; Woolworths identifying a 110% price increase opportunity across 29% of its homeware assortment; Harrods achieving a 4% improvement in revenue per visit; and MANGO adding 900,000 new online customers with 50% ecommerce revenue growth.