What Your Data Has to Do Before Agentic Commerce Actually Works
AI puts a new kind of pressure on the systems behind B2B commerce. Product data that buyers could interpret for themselves now has to give AI enough context to make useful decisions.
Pivotree, HawkSearch, and OroCommerce discuss where the catalog and integration layer can break, and what B2B teams can fix before the problems reach buyers.
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What We Covered
Why AI needs more than a product catalog
Understand how product information, customer-specific pricing, permissions, and business rules all shape the recommendations an AI agent can make.
Why the “right” product depends on the buyer
Explore how different accounts, use cases, and purchasing rules change what an AI agent should recommend.
What agentic discovery looks like when it works
What has to happen across the data, commerce, and discovery layers to make the experience work.
Meet the Speakers
Matt Johnson
Head of Industrial Manufacturing & Distribution, Pivotree
Matt focuses on the product data and catalog challenges that distributors and manufacturers face as they build their digital commerce businesses. His work centers on getting product data into shape for better commerce today and AI-driven buying experiences next.
Matt Johnson
Head of Industrial Manufacturing & Distribution, Pivotree
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Jeremy LaDuque
SVP, Growth & GTM, HawkSearch
Jeremy works at the intersection of B2B commerce, search, and product discovery, helping businesses make large product catalogs easier for customers to navigate and buy from.
Jeremy LaDuque
SVP, Growth & GTM, HawkSearch
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Aaron Sheehan
VP of Strategy & Partnerships, OroCommerce
Aaron brings a B2B commerce perspective to the conversation, with a focus on the technology, integrations, and business rules that sit behind the digital buying experience.
Aaron Sheehan
VP of Strategy & Partnerships, OroCommerce
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