Practical guide on how to get AI-powered insight from your commerce data
January 2026
Most brands and suppliers’ AI initiatives fail not because of weak models, but because of unprepared data. This white paper outlines five critical actions for building AI-ready commerce data infrastructure: canonical mapping, attribute normalization, parallel processing, resilient ingestion, and comprehensive auditability. Companies that implement these practices see sales teams shift from manual ERP queries to trusting AI-generated quotes, reducing quote generation time by up to 80% while improving accuracy.