Engineer AI Into the Decision: Optimization, Intelligence, and Autonomy
· Source: logisticsviewpoints.com
In short
The article argues that the logistics AI debate has shifted from whether the technology works to where intelligence should sit, which decision it should improve, and how much authority it should hold. It advises engineering AI directly into consequential logistics decisions and execution paths, combining mathematical optimization with predictive and generative capabilities, and governing autonomy through defined operating envelopes, traceability, and decision-level performance metrics rather than model accuracy alone.
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Tags: decision intelligence, optimization, autonomy, logistics, traceability, governance