In this podcast, Rohit Singh Verma, Executive Director – Head of Data Practice at Nvizion Solutions, speaks with Miriam Molino Sánchez, Head of Industry Practice at Stibo Systems, about why great e-commerce experiences start with trusted product data. The discussion explores the long-standing confusion between PIM and Product MDM, why selecting the right platform is only half the battle, and how AI and agentic commerce are raising the bar for what “good” product data means. Together, they also examine real-world outcomes, including how the right MDM approach helped one organization in Saudi Arabia reduce a single SKU launch from 30 days to just one day.
Key highlights of the session
- PIM and Product MDM are often used interchangeably, but they serve different purposes. PIM traditionally focuses on managing product information for commercial and digital channels, while Product MDM takes a broader, enterprise-wide approach to product data across operations, supply chain, and governance.
- Organizations typically fall into three models: those using only PIM, those running separate PIM and Product MDM systems, and those covering both needs with a single, well-governed platform. The third model is best positioned to meet rising digital and agentic AI requirements.
- Choosing the right MDM platform is critical, but technology alone is not enough. Success depends equally on clear ownership, strong data governance, defined roles, and process discipline.
- AI is reshaping product data management in two directions - AI for MDM (automating classification, match & merge, content generation, and workflow tasks) and MDM for AI (delivering trusted, governed, and contextual data that agents can reliably consume).
- In the agentic commerce era, the stakes for product data quality have risen significantly. Incomplete, inconsistent, or untrusted data no longer just leads to poor customer experience - it can cause products to be completely ignored by AI agents making recommendations.
- Real business impact is measurable. One organization reduced SKU launch time from over 30 days to 1–2 days by combining process optimization, automation, and a robust MDM platform - turning data quality improvements directly into speed and operational efficiency.