How Product Data Fuels Success in the Age of AI Commerce

While 76% of B2B organizations now use GenAI to improve productivity, MIT reports that 95% of AI pilots fail, most often because product data is inaccurate, inconsistent, or scattered across systems.

Bad data erodes customer trust, drives up return rates, and undermines AI performance, costing companies millions in lost efficiency and revenue. That’s why building a single source of truth for your product information has become essential for any organization looking to grow in the age of AI-powered commerce.

Because of this, we’ve put together a clear and actionable roadmap for strengthening your product data foundation and aligning every team around unified processes and shared outcomes. Through data-driven insights and real life case studies, you’ll see how organizations are improving data accuracy, accelerating launches, expanding into new channels, and preparing their tech stacks for the future.