Case Study: Worldwide Fashion Retailing Company achieves 3% sales growth and 2-3% market share gains with Intelligence Node

A Intelligence Node Case Study

Preview of the Worldwide Fashion Retailing Company Case Study

How This Worldwide Fashion Retailer Tracks Pricing for 25M+ Products, Daily

Worldwide Fashion Retailing Company, a publicly traded $1.2B fashion eCommerce leader operating across four continents, struggled to monitor competitors across 14 countries due to fragmented product and pricing data, diverse marketplaces (including Amazon, hyperlocal brands, and private labels), multiple currencies and languages, and insufficient AI-enabled infrastructure. To address these gaps they engaged Intelligence Node, leveraging its AI-powered competitive pricing and market intelligence capabilities.

Intelligence Node implemented proprietary AI algorithms to match over 1 million products and benchmark pricing for more than 25 million items daily, providing hourly competitor monitoring across 14 countries and 17 languages and location-based pricing down to zip-code level. As a result, Intelligence Node’s solution helped the retailer achieve roughly a 3% increase in sales and a 2–3% gain in market share across key categories in 14 markets.


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