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    AI Agents

    AI agents for supply chain teams that watch, explain and act.

    Orkestra's agents run on the same live record as your purchase orders and shipments. They catch the exception, write the summary, recommend the move and trigger the workflow you defined. Every action is scoped, reversible and logged.

    • Run on your real ERP, TMS and WMS data
    • Recommendations with the reasoning shown
    • Scoped by role, reversible by design
    • Every action in the audit trail
    Agent activityRecommend-only mode
    1. Exception Monitoring
      SHP-1042 stopped moving · berth miss, +3 days
      06:41
    2. Exception Summary
      Feeds PO-8841 · line 2 runs out Thursday
      06:41
    3. Recovery & Reroute
      3 options priced · air split cheapest at $3,480
      06:42
    4. Waiting on approval
      A. Reyes · plant manager
      now
    Every step logged · reversible until approved

    Trusted by

    MatalcoDLAOIA GlobalIllyKingsdownLevitt SafetySquareInstoreDBWMatalcoDLAOIA GlobalIllyKingsdownLevitt SafetySquareInstoreDBW
    How the agents work

    Three agents run the loop your planners run by hand today.

    Detect the exception, explain what it threatens, act on the playbook you wrote. Your team keeps the decisions that need a person, and stops doing the watching.

    01

    Detect

    The Exception Monitoring Agent watches every order and shipment against the thresholds you set, and flags the moment something stops moving.

    02

    Explain

    The AI Exception Summary writes what happened, what it threatens and what the options cost, in the few sentences needed to decide.

    03

    Act

    The Workflow Trigger Agent fires the playbook you wrote: assign the owner, chase the carrier, notify the customer. Every step is reversible.

    Why most AI pilots stall

    An agent is only as good as the record it reads.

    A late container only matters if it feeds a PO that feeds a line or a customer date. Most AI pilots stall because those facts live in four systems. Orkestra's agents read one reconciled record, so their recommendations reflect what is actually at stake.

    Purchase order
    ERP
    Shipment
    TMS · carriers
    Inventory
    WMS
    Customer date
    orders
    One reconciled record
    what is late, what it feeds, what it costs
    Agent recommendation you can act on
    Decision agents

    Beyond the alert: agents that recommend the call.

    On top of the core loop, decision agents reason over your history, costs and live network and recommend a specific move, with the reasoning shown.

    Disruption Impact agent

    Maps weather, port congestion and strikes onto your exposed orders and shipments.

    Recovery & Reroute agent

    Prices expedite and reroute options against line-down and penalty exposure.

    Promise Date agent

    Recommends a delivery date you can keep, and when to re-promise.

    Carrier Recommendation agent

    Ranks carrier and mode per lane from on-time history, acceptance and cost.

    Replenishment & Rebalancing agent

    Weighs reorders and DC transfers against carrying cost and stockout risk.

    Root Cause agent

    Traces a miss to the lane, carrier or supplier at fault, and proposes the fix.

    Guardrails

    Autonomy you set, not autonomy you hope for.

    Start in recommend-only mode. Widen what each agent may do as your team trusts it.

    Scoped by role and context

    You decide which actions each agent may take, and for whom. Re-booking drayage is not the same as re-promising a customer.

    Reversible by design

    Nothing an agent does is a one-way door. Bookings cancel inside their window; customer messages stay drafts until a person sends them.

    A complete audit trail

    Every recommendation, approval and action is logged with its inputs. Why was this expedited? The answer is a record.

    FAQ

    Questions we get on every call

    Book your call

    Pick one exception. Watch an agent handle it.

    30 minutes. Tell us the exception your team spends the most time chasing. We show the agents detecting it, explaining it and running the playbook on a live record, with every guardrail visible.