Product data determines whether B2B buyers can confidently select the right products and move forward through self-service. In practice, product data is distributed across systems, partners, and regions, often creating conflicting versions of truth that limit digital progress.

Rather than aiming for perfect product data, leaders are focused on prioritization. In this panel discussion, gain insight into how leaders are using buyer behavior to identify which product information matters most, their efforts to resolve product data conflicts across teams and partner ecosystems, and what data is critical support discovery, self-service, and AI. As digital discovery increasingly shapes how buyers evaluate products, these decisions are becoming critical to get right.

Get inspired to take action with insights and guidance on:

• Using buyer behavior to identify which product information most influences conversion
• Resolving product data truth conflicts across systems and partner ecosystems
• Prioritizing product data that supports self-service and discovery
• Applying AI to support product data upkeep in high-impact areas without adding buyer risk 

As B2B organizations scale through acquisitions and expand across regions, product data complexity compounds faster than most teams anticipate. Fragmented product data across brands and systems puts a ceiling on revenue growth from digital commerce, automation, and AI.

Hear how DwyerOmega unified product data across 40+ brands and multiple global systems in an 18-month PIM transformation, tackling complexity, structuring cross-functional ownership, and building a repeatable onboarding playbook for acquisitions. Structured product data strategy is the operational backbone that makes scalable commerce, AI readiness, and quoting automation actionable rather than aspirational.

Treat your product data as strategic infrastructure:

• Determining where to start when product data complexity is high
• Structuring cross-functional ownership across technical and business teams
• Building a repeatable playbook for onboarding new acquisitions