Wired for Sales

Distributors are being flooded with easy to ignore artificial intelligence predictions. But a shift is coming.

According to Gartner, AI-enabled procurement systems will influence or execute as much as $15 trillion in B2B purchasing by 2028. Impressive number, but the real story is why companies are motivated to let machines make buying decisions.

The answer is simple. The current system is expensive. The cost to process a single MRO purchase order runs between $120 and $150. That includes requisitioning, approvals, supplier interaction, and invoicing. Many times, the cost of placing the order equals or exceeds the cost of the item. A $90 component can carry $120 worth of process cost just to get it through the system. That is a cost structure waiting to be attacked. Customers will be drawn to the bright glow of AI procurement

This won’t be a technology experiment. It will be seen as a high-return cost-reduction tool — a system that monitors usage, triggers replenishment, compares suppliers, and selects the lowest price. By placing orders automatically, companies will eliminate a large portion of that $120 to $150 transaction cost.

Along the way, this machine will eliminate something else: human discretion. If you felt the impact of supply contract initiatives back in the early 2000s, you know how difficult it will be to “sell your way” back to the status quo. Those supply contracts were financially driven, not price-driven, and they carried the full weight of the customer’s top brass. Offers of deep discounts rarely changed the situation.

When your friend in maintenance or engineering talked about the quality of the services provided, the value was undefined financially. The company’s leadership could measure the financial impact of the contract but struggle to measure your value. It gets worse. Most “technically focused” people poorly understand the financial impact of the incumbent’s service.

Unlike the shift to a supply contract, the AI procurement system will ramp up in a matter of days not months. AI procurement systems do not need to be taught. They are designed to optimize the same variables supply contracts and mega-distributors highlighted years ago: total cost, consistency, reliability, and efficiency. What once required a sales conversation is now embedded in the system’s logic. 

Here’s the problem for distributors who rely on relationship- driven selling: Relationships operate in the gray area. A good salesperson can overcome inconsistent pricing, incomplete product data, or unreliable lead times because the customer trusts them. They can explain, adjust, and negotiate. They “take care of the customer.”

AI does not operate that way. Suppliers are evaluated based on what the system can see and measure. Past favors don’t exist. If your lead times are inconsistent, your pricing varies by customer without logic, or your product data is incomplete, you are not a trusted partner. You are an unreliable input. You won’t just lose the order. You will never be considered. For distributors, the implication is clear. Competing in a market influenced by AI procurement requires two fundamental changes.

First, value must be measurable. General statements about service, relationships, and responsiveness are not enough. Distributors have to define and quantify the outcomes they deliver. Reduced downtime, lower inventory levels, fewer stockouts, improved fill rates, and faster cycle times are the metrics that matter. If value cannot be expressed in measurable terms, it cannot be evaluated by the system, nor can it justify staying with your company.

Second, the quality of your data becomes a competitive weapon. AI systems depend on clean, structured, and consistent information. Product attributes, availability, pricing logic, order history, and performance metrics must be accurate and accessible. Most distributor e-commerce platforms were built as digital catalogs. That is no longer sufficient. They must evolve into reliable data environments that can support automated decision-making.

Distributors have spent decades competing through people. The next phase of competition will depend on how well their products and services can be understood and evaluated by a machine. For years, success in MRO selling depended on the ability to build relationships and influence decisions. That skill set is not going away, but it’s not enough.

The next customer may not be human. And it will not care how strong or how long your relationships are. Being wired for sales means, being able to sell to machines.