AI

The Agentic Commerce Protocol (ACP) is not a marketplace or a new checkout experience. It is infrastructure that standardizes how AI agents securely transact with merchant systems. As agent-driven purchasing scales, traditional ecommerce differentiation shifts away from page design and toward technical readiness, including clean product data, structured attributes, reliable APIs, and machine-readable pricing, availability, and constraints. This article explains why agentic commerce is not optional for modern B2B organizations and what to do now to prepare, from auditing catalog quality to strengthening transactional reliability. The companies that adapt early will be the most discoverable and easiest for AI agents to buy from as this new layer between intent and transaction becomes normalized.

Google and Shopify have introduced the Universal Commerce Protocol (UCP), an emerging open-source effort designed to help AI agents and commerce systems work together more consistently. For B2B manufacturers and distributors, UCP is less about consumer checkout experiences and more about readiness. It signals a future where clean product data, clear pricing logic, strong identity controls, and resilient integrations determine how easily buyers and systems can transact at scale.

Messy, inconsistent product data slows digital growth. This article shows how AI-driven taxonomy normalization helps manufacturers clean, structure, and monetize their data for scalable digital success.

Google AI Shopping, at the heart of AI Mode, isn't just a consumer-facing novelty. For B2B wholesalers, this evolution is a wake-up call. From AI-powered conversational search to real-time deal watching, Google is redefining product discovery with capabilities like query fan-out, agentic checkout, and virtual try-on. In a world where procurement teams expect quick, precise results, wholesalers need to rethink how they feed data into Google’s ecosystem before AI decides which supplier gets the order.