AI in Distribution

As AI assistants become more capable of conducting research and narrowing supplier options, distributors may need to ensure their product catalogs, pricing information, inventory availability, and technical specifications are accessible in formats that AI systems can easily interpret.

As Google’s commerce infrastructure expands, distributors that can be found, understood, and transacted with by AI agents may gain an advantage

The pace of legislative activity continues to accelerate. By March, lawmakers in 45 states had introduced more than 1,500 AI-related bills, exceeding the total number introduced during all of 2024.

For distributors, the development represents more than another AI product launch. It signals that technology once available only to the largest ecommerce companies is becoming increasingly accessible to businesses throughout the supply chain.

Even under the broader definition, wholesale trade, manufacturing, and retail all reported AI adoption rates below the national average.

The announcement reflects broader adoption of AI-driven analytics tools across distribution and home services industries as companies seek more precise ways to identify demand, improve sales productivity, and anticipate repair and replacement activity.

CEO D.G. Macpherson said Grainger’s AI deployments now fall into two primary categories: internal productivity and customer-facing digital capabilities.

Among Schneider Electric’s pilot users, 100% said they would recommend the new generative AI tools to colleagues. But only 55% said they were personally ready to use the tools themselves.

Distribution Strategy Group’s Best Practice Series is built around one principle: distribution executives do not need more content. They need a structured forum to pressure-test strategy against what peers and the data are actually showing.

The larger significance for distributors is that Amazon is combining AI-driven procurement automation with physical logistics infrastructure.