This study examines the impact of Industrial AI agents on Business-to-Business (B2B) procurement, with a focus on the Maintenance, Repair, and Operations (MRO) sector. MRO procurement, characterized by product complexity and specification challenges, remains a critical yet inefficient area of B2B operations. Using large language models, ZKH—a leading digital platform for industrial supplies—has developed an AI-powered agent that acts as an intelligent assistant. By analyzing a database of over 17 million SKUs and billions of product parameters, the agent provides smart recommendations, real-time specification support, and streamlined navigation through complex product catalogs. We conduct a field experiment to evaluate the effects of the Industrial AI agent on early-stage buyer engagement, final-stage purchase decisions, procurement duration, and new product adoption. Using data of 254 purchasing companies over a three-month period from a trial experiment, we provide preliminary evidence of the impact of the Industrial AI agent adoption on B2B procurement.