Supply Chain Leaders Urged to Master AI for Resilient Operations

Artificial intelligence is now embedded in many supply‑chain functions, from demand forecasting and inventory optimisation to supplier‑risk scoring, transportation routing and predictive maintenance. Because AI outputs directly affect service levels, working capital and resilience, executives are advised to understand model assumptions, data quality and confidence intervals rather than accept recommendations unquestioningly.

A next wave, termed “agentic AI,” goes beyond static predictions. These systems continuously monitor demand signals, evaluate trade‑offs, and can autonomously propose or even execute actions such as parameter adjustments, scenario runs or replenishment triggers. The approach aims to free planners for policy, risk and exception handling while agents handle high‑volume coordination. Effective use requires clear governance, auditable decision trails and defined human‑in‑the‑loop controls to keep actions aligned with business intent.