How Product Data Fuels Success in the Age of AI Commerce

As AI adoption accelerates and customer expectations rise, businesses are facing a widening gap between ambition and execution. 

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.

Key Takeaways:

• Why poor product data is now a multimillion-dollar problem, and how it directly impacts revenue, returns, and product performance
• How PIM accelerates time-to-market, improves enrichment speed, and increases conversion rates by up to 50%
• Why AI initiatives fail without strong product data foundations, and how to build an AI-ready ecosystem
• A five-step framework for diagnosing your product data maturity, defining business outcomes, and building a scalable, cross-functional strategy
• Real-world examples of brands using PIM to centralize data, streamline workflows, and drive measurable growth

Whether you’re modernizing your tech stack, preparing for AI, or simply looking to deliver better product experiences at scale, this eBook gives you the practical insights you need to move from data chaos to data confidence.

Download today!