The System Was Right. The People Didn't Trust It.

A capital-intensive operation had invested in service parts planning and supply chain optimization software. The system was generating recommendations — reorder points, safety stock levels, supplier lead time adjustments — that the operations team was consistently overriding. Utilization of the system's recommendations was below 40%.

The issue wasn't the algorithm. The issue was that the maintenance teams, operations managers, and procurement leads who fed data into the system didn't understand how their inputs shaped the outputs. When the system recommended a reorder, they didn't trust it because they didn't know why it was recommending it. So they overrode it with gut instinct — which was sometimes right and often wrong.

Human intelligence had to be engaged before the system intelligence could be trusted. A structured education program was built — not a software training, but a process education that explained the logic of the planning model, the data inputs that drove each recommendation, and the cost of systematic overrides. Frontline teams were shown, in their own operational language, how their data quality decisions affected the recommendations they received.

System recommendation utilization increased from below 40% to above 75% within two quarters. Unplanned downtime decreased. Inventory carrying costs dropped. The software hadn't changed. The people's relationship with the software had.