ProEnergy Supply is betting that the shift to AI-driven B2B procurement creates a structural gap that neither Amazon nor Home Depot can fill: independent wholesale distributors have negotiated pricing, rebate tiers, and manufacturer relationships that exist nowhere in any digital catalog, making them invisible to AI procurement agents that route orders automatically. IVAN, its patent-pending AI procurement network<\/a>, encodes that proprietary commercial data into a machine-readable format, exposing it only to credentialed buyers, with a deterministic routing engine that charges distributors a GMV-based transaction fee only on completed orders. More than $1 billion in distributor revenue is reportedly under LOI or binding agreement, with a Q4 2026 production launch planned.<\/p>\n The story that matters here isn’t about one Montana startup. It’s about whether your procurement infrastructure is legible to AI agents at all. Gartner’s 2028 projection that 90% of B2B buying will be intermediated by AI agents isn’t a distant horizon anymore; it’s an architectural decision your sourcing and supply chain teams are either already making or quietly deferring. If your enterprise runs procurement through agents, the suppliers who don’t have machine-readable pricing, credit terms, and inventory data will simply disappear from consideration, regardless of relationship history.<\/p>\n The specific technical problem IVAN is solving is real, even if the solution is early-stage. AI procurement agents, the software that autonomously queries suppliers, compares terms, and places orders on behalf of a buyer, currently see list prices and stock levels. They cannot read a PDF contract, interpret a side-letter pricing agreement, or apply a tiered rebate structure that lives in a sales rep’s head. That’s not a limitation IVAN invented; it’s a known gap in how structured data flows between buyers and suppliers today. Whether IVAN’s patent-pending proxy architecture is the winning approach is genuinely open, but the category problem it describes is one your vendor ecosystem is already running into.<\/p>\n The CIO-level question this reframes isn’t whether to adopt agentic procurement; it’s which suppliers will still be visible when you do. If your enterprise moves to agent-mediated sourcing in electrical, solar, HVAC, or adjacent verticals over the next 18 months, and your preferred independent distributors haven’t built machine-readable data layers, the agent won’t negotiate, it will just route around them toward whoever has structured their data correctly. That’s a vendor relationship risk worth auditing now, not after the first missed order.<\/p>\n Agentic procurement refers to AI software that acts autonomously on a buyer’s behalf, querying supplier catalogs, evaluating terms, and executing purchase orders without human review of each transaction, similar to how a standing rule in your email client routes messages without you reading them first. It exists because AI agents can process thousands of supplier options faster than any human team. The business consequence is that suppliers without structured, machine-readable data aren’t considered; they’re simply not queried.<\/p>\nWhat this means for your business<\/h2>\n
Concept deep-dive: Agentic procurement<\/h2>\n