Agentic Commerce Is the Biggest B2B Opportunity in Years, and Most Sellers Aren't Ready

For B2B sellers, the shift lands on top of a digital channel that is already the largest source of revenue for companies that offer it, and on a buyer base that has been adopting AI faster than the suppliers meant to serve them.

B2B buying runs on structure that consumer checkout does not have: customer-specific contract pricing, multi-step approval chains, ERP-linked inventory and delivery data, and supplier relationships built over years. That structure is exactly what makes the category suited to AI agents that can execute repeatable, rules-based steps.

Deloitte frames the mature end state as agent-to-agent commerce, where a buyer's procurement agent and a supplier's sales agent configure pricing, quoting and negotiation directly, with a human retaining final sign-off [4]. The firm lays out eight emerging use cases already appearing inside B2B organizations, from buyer-intent discovery and transaction orchestration to autonomous negotiation, supplier orchestration, and predictive fulfillment [4].

None of them require a fully autonomous agent on day one. They describe work that is already partly automated through ERP and CRM systems, just not yet exposed to an AI agent acting across company boundaries.

Buyers now use an average of 10 distinct interaction channels across their purchasing journey, up from five in 2016 [1]. Forrester's 2025 B2B predictions went further, projecting that more than half of large B2B transactions, those worth $1 million or more, would be processed through digital self-serve channels rather than a sales rep [2].

That base matters because agentic AI does not create a new buying channel from scratch. It sits on top of the e-commerce, ERP and catalog infrastructure that already exists, and it amplifies whatever quality, or gaps, that infrastructure already has.

The same research uncovered a perception gap that predates agentic AI entirely: only 47% of buyers agree that B2B sales processes are mostly automated, and buyers are six times more likely than suppliers to describe those processes as mostly manual [4]. Internal automation, in other words, has not yet reached the buyer's actual experience.

McKinsey's data explains why that gap is costly. More than half of surveyed B2B buyers say they are likely to switch suppliers if they don't get a smooth cross-channel experience, rising to 65% among the "seekers" archetype who demand seamless omnichannel service and are willing to spend big online [1]. Poor-quality digital experience is the single most cited reason for churn, named by 54% of buyers likely to switch [1].

On the upside, positive buyer experiences drive an estimated 36% revenue uplift, and buyers spend nearly 30% more with suppliers that deliver them [4]. Suppliers with high digital-commerce maturity already exceed annual sales goals by 110% more than low-maturity competitors, and are roughly five times more likely to use AI extensively across their operations [4].

Standing still carries a different risk, too. Gartner expects 33% of enterprise software applications to include agentic AI by 2028, up from under 1% in 2024, and at least 15% of day-to-day work decisions to be made autonomously by then, up from zero in 2024 [3].

Deloitte found only about 20% of companies currently have a mature governance model for autonomous agents, leaving the other 80% exposed as adoption accelerates around them [4].

For B2B sellers, the practical answer sits between the extremes: build the data, ERP and governance foundation now, prioritize a handful of high-frequency use cases such as reordering and quote requests, and treat agentic readiness as an extension of the e-commerce investment that is already generating a third of online sellers' revenue rather than a separate bet [1][4].