Product Spec Auto-Matching

A global sporting goods retailer operating marketplaces across 14 European countries deployed AI-powered catalog transformation tools to accelerate seller onboarding and product data enrichment. According to statements from the company's global marketplace lead published by Mirakl in 2025, the retailer uses AI for catalog curation to ensure product listings meet internal guidelines while maintaining a consistent global customer experience. The company reported that sellers now use AI tools to enrich product data, descriptions, and discoverability attributes, with a particular focus on taxonomy and product data structure for international brands distributed through the marketplace.

In a separate case, a fashion brand selling across multiple marketplace channels reported that traditional feed management solutions required approximately $100,000 and four months of upfront investment to sell on each new channel, with catalog onboarding representing a substantial portion of that cost. After adopting AI-powered catalog transformation, the brand imported a full product catalog and began listing products in less than 24 hours, according to Mirakl customer testimonials published in 2025. The marketplace platform's AI detects syntax similarities from product descriptions and automatically maps categories and values to existing taxonomy, a process the platform reports is 1,000 times faster than manual mapping.

A 2024 McKinsey survey of 40 distributors found that approximately 95% are exploring AI use cases across the distribution value chain, though less than 10% have developed an AI road map with prioritized use cases for deployment. McKinsey estimated that embedding AI in distribution operations can yield reductions of 20% to 30% in inventory levels and 5% to 15% in procurement spend. These findings underscore both the opportunity and the implementation gap that remains in the sector.