One signal

A Forbes Technology Council contributor outlines a way for pharmaceutical and healthcare supply-chain teams to use AI to flag stock at risk of expiring before it becomes waste. The practical point: connect forecasts to inventory decisions, rather than treating prediction as the whole job.

The proposed framework uses early-warning signals to help planners spot potential expiry several planning periods ahead. It pairs those alerts with shelf-life, demand and regulatory constraints, then sends important exceptions to people for review. The article recommends starting with one inventory decision, establishing a baseline and measuring business outcomes, not just forecast accuracy. It is a practitioner’s proposed framework, not evidence that the approach has delivered results in a live deployment.

Discuss: Would you trust AI-generated inventory recommendations in medicine supply chains if planners retain approval, or should these decisions stay entirely human-led?

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