Summary
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Logistics leaders are embedding AI beyond experimentation: control towers now detect disruptions and recommend corrective actions, digital-twin warehouses simulate peak scenarios in minutes, and conversational copilots inside TMS/WMS answer 'which shipments are at risk today?' in natural language. AMRs and computer vision run at production scale. The shift is reframing AI as a core operational capability, not an innovation project.