Why Your Supply Chain AI Pilot Worked But the Rollout Failed
How to diagnose organizational resistance and deliver results in 90 days
The proof of concept performed flawlessly. Demand forecasting accuracy jumped 23%. The board approved the budget. Your Chief Supply Chain Officer called it a strategic priority.
Six months later, nothing is moving. Planners still export data to spreadsheets. Warehouse managers ignore the new dashboards. Procurement teams find workarounds to avoid the system. Your middle managers nod in meetings and change nothing. The executive sponsor is asking pointed questions.
You have a stalled initiative. You suspect the problem is not the technology.
You are right. It is not the algorithm. It is the organization.
BCG research found that 74% of companies struggle to extract value from AI investments at scale. The pattern repeats across industries: the technology works, but the organization does not change. Promising tools sit idle. Dashboards go unread. The productivity gains that justified the business case never arrive.
Here is how to diagnose what is blocking your supply chain AI rollout and get things moving in the next 90 days.






