Owllys
Division 01 · Supply Chain

Supply Chain Solutions

An end-to-end agentic supply chain on one platform. Demand signal to customer delivery — and back again on returns — unified by ControlTower, the digital twin that closes the loop.

The end-to-end flow
0%
inventory reduction
0%
logistics cost saved
0%
downtime cut
0%+
on-time-in-full
The digital twin

Your operation, running twice

ControlTower mirrors your live operation on the Operations Graph — every order, machine, vehicle and pallet. Test the decision in the twin, then fire it in the real world.

1:1
physical ↔ digital mirror
live
streaming state, not reports
what-if
simulate before you commit
governed
autonomy at your pace
See ControlTower the whole chain, mirrored live
Problems → outcomes

What changes when the chain runs on one brain

before · the daily firefight
Chronic over- and under-stockingMaverick & tail spendUnplanned downtimeCarrying-cost creepBroken delivery promisesSlow exception handlingLate churn signalsReturns as pure write-offLocal optimisation, global loss
after · the loop closes
30%
inventory reduction
28%
logistics cost saved
45%
downtime cut
95%+
on-time-in-full
one shared
Operations Graph
Predict
Decide
Execute
Learn
How the intelligence works

Predict. Decide.
Execute. Learn.

Every Supply Chain product runs the same governed loop over your own data — closed on ControlTower so the chain optimises end-to-end, not one silo at a time.

01

Predict. Agents sense demand, downtime and delays across plan, make and move — before the disruption lands on the floor.

02

Decide. Every option is scored on cost, service and risk: which order to expedite, which line to re-sequence, which promise to keep.

03

Execute. Approved actions fire into your systems — POs, build-aheads, routes and promises — or wait one click for sign-off.

04

Learn. Outcomes write back to ControlTower, the digital twin. The next plan, source and promise starts smarter than the last.

AI recommends, the business governs — confidence gates, approval lanes and a full audit trail on every decision.

See it work

Run a live job

Press play to watch an agent trace a real exception end-to-end — sense, decide, execute — and land the outcome.

PlanningNestPlan
live job5 steps

Plan a demand spike before it stocks you out

  1. 01
    Signal

    Channel sell-through on SKU-4471 jumps 22% week-on-week; a promo is live in 9 days.

  2. 02
    Retrieve

    Agent pulls 3-yr seasonality, promo lift history, supplier lead times and on-hand cover.

  3. 03
    Doubt

    Forecast confidence 61% — below gate. Retrieves competitor stockout + weather signal.

  4. 04
    Decide

    Confidence now 89%. Recommends +1,800 units, split across two replenishment waves.

  5. 05
    Commit

    Pushes a draft PO to SourceNest and a build-ahead to OpsNest for one-click approval.

outcome

Stockout avoided, no blanket overstock — the spike is covered with 1,800 units, not 5,000.

TransNestMove
live job4 steps

Resolve a delivery exception in under a minute

  1. 01
    Exception

    Truck A breaks down with a priority pharma drop due in 3 hours.

  2. 02
    Chain

    Agent reads GPS, the SLA tier, carrier contract and 4 alternate vehicles nearby.

  3. 03
    Decide

    Re-routes the load to Truck C, splits two low-priority drops to tomorrow.

  4. 04
    Execute

    Dispatches Truck C, notifies the customer, logs the SLA exposure avoided.

outcome

The priority drop lands on time; the swap is costed and reconciled with no phone tree.

Prove it on one part of the chain. Then scale.

Answer a few questions and we will map the right Supply Chain products to your outcomes — or get a free AI plan from our team.