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AI-FOR-LOGISTICS5 MIN READ

Walk the Constraint Before the Model

Find the system constraint before choosing an AI optimization target.

The funding call Four teams want AI budget, but the same-day cutoff miss is controlled by one limiting step in the flow. Optimizing non-constraints can improve dashboards while customer throughput does not move. TOC focusing steps Identify → exploit → subordinate → elevate → repeat The strongest AI target is often the one that protects the bottleneck, not the one with the loudest complaint. Optimize everywhere Many local wins, no system gain AI effort raises throughput instead of decorating a non-constraint. The bottleneck decides the value of optimization. 01 Find 02 Exploit 03 Subordinate 04 Now try

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