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AsterMind AI — Intelligence into Action
Client impact

Logistics & Supply Chain

Sensing disruption days earlier with an agentic supply-chain control tower.

Disruption reached planners after cost had already been committed: the first signal was usually a missed milestone, not a forecast.

Client
Global logistics and freight-forwarding provider
Region
Global, multi-modal network
Scale
Pilot on one trade lane, expanded by network segment

The challenge

What was actually going wrong.

  • Carrier, port and weather signals arrived in separate systems with no correlation.
  • Recovery options were assembled manually under time pressure, so the first workable option usually won.
  • Planners would not accept automation that removed their decision authority.

The AI solution

How it was engineered.

Event correlation, scenario simulation and agent-proposed re-plans with planner approval.

01

Event correlation

Carrier EDI, port status, weather and internal milestones fused into one disruption timeline per shipment.

02

Scenario simulation

Each detected risk generates costed recovery scenarios with service and margin impact.

03

Agentic re-planning

Agents assemble and rank re-plans, then wait. Nothing executes without planner approval.

04

Decision memory

Accepted and rejected re-plans are retained so ranking reflects how this network actually operates.

TMSWMSCarrier EDI feedsEvent streamingAgent orchestrationSimulation service

Delivery

The path to production.

Single trade lane first, expanded by network segment.

  1. Weeks 1–3

    Discover

    Lane selection, signal inventory, disruption cost baseline.

  2. Weeks 4–12

    Prove

    Single trade lane, advisory-only agents, planner feedback captured daily.

  3. Months 4–9

    Scale

    Expansion by network segment, approval thresholds tuned per exception type.

  4. Ongoing

    Operate

    Scenario library maintenance, agent evaluation, expedite-spend reporting.

The outcome

What changed, and how we know.

Earlier

Disruption warning

Days ahead of previous baseline, client-reported

Lower

Expedite spend

Client-reported

Planner

Retains every decision

Agents propose, humans approve

  • Planners saw disruption forming instead of confirming it after the fact.
  • Recovery choices arrived costed and ranked, so the best option competed with the fastest one.
  • Adoption held because authority never moved away from the planning desk.

“Planners kept the decision. The agent kept the options ready.”

— VP Supply Chain, Global logistics provider (anonymised)

What is next Extend to inventory positioning and carrier-performance negotiation support.

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