Supply Chain: AI Roadmap to 2040

Three horizons. Concrete pilots. KPIs that prove it works.

Now (0–12 months)

  • SKU and location IDs unified across systems
  • ETA prediction on top 10 lanes
  • Exception dashboards; safety stock sanity check

Next (12–36 months)

  • Multi-echelon inventory optimization
  • Demand sensing with external signals
  • Dynamic slotting and labor planning in DCs

2030–2040

  • Autonomous yard + dock scheduling
  • Resilient network replans with live constraints

Architecture notes

  • Data fabric across ERP/WMS/TMS; event-driven updates
  • Twin models for lanes + DCs; scenario runs per week

KPIs

  • Forecast accuracy; OTIF; inventory turns
  • Expedite spend; dwell time; pick/hour

First pilots

  • Lane twin pilot on one corridor
  • DC slotting optimizer on fast movers

Risks & guardrails

  • Poor IDs and units; fix with master data governance
  • Black swan shocks; keep buffers and playbooks
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