From Pilot to Production: Scaling AI in the Supply Chain
Why 73% of supply chain AI pilots never reach production — and the five conditions that change the odds.
Priya Venkataraman · Partner, Data & AI
10 min readEvery supply chain leader has a pilot story. Most do not have a production story. The gap is not technical — it's organizational, and it's reproducible.
73%
Of supply chain AI pilots stall before reaching enterprise production.
The five conditions
- A named operating-line owner — not just a data science sponsor.
- A baseline KPI agreed before model training, not after.
- Integration to the system of record (ERP/WMS/TMS) on day one, not phase two.
- Change management budgeted at 1.5× the model build cost.
- A 'kill criteria' — the explicit threshold below which the pilot is shut down.
What good looks like
Production-grade supply chain AI moves a number on the P&L every month. If your AI council is reviewing accuracy metrics instead of EBITDA contribution, the pilot is already drifting toward the 73%.
"AI doesn't fail because the model is wrong. It fails because no one owns the decision the model is supposed to inform."
Author
Priya Venkataraman
Partner, Data & AI — Maine Pointe
