Solutions · Operations and supply chain

Know what is happening across your operation, and why.

See what needs attention next, from the line to suppliers to customer orders.

The work

Signals arrive from many systems (MES, ERP, TMS, WMS, supplier portals).

Signals arrive from many systems (MES, ERP, TMS, WMS, supplier portals); people see symptoms, not causes, and find out about broken commitments from customers.

Why is Line 3 slow?

Three investigators look.

A supervisor sends agents to equipment, materials and quality records.

Step 1 of 5
EquipmentChecking
MaterialsChecking
QualityChecking

They find different things.

No equipment faults. A new resin lot started Tuesday. Rejection rates are up on parts made since then.

Step 2 of 5
EquipmentNo faults
MaterialsNew lot Tuesday
QualityRejections up

The supervisor checks them against each other.

The timing lines up, and the lot came from a different supplier site. It reports a likely cause, marked as likely.

Step 3 of 5
Likely causeResin lot R-118

Two customer orders depend on the line.

The plant manager decides.

Step 4 of 5
Orders at risk2
The question, as the person sees itLikely cause: resin lot R-118 from the supplier’s second site. Quarantine the lot and switch to R-117?

The decision and its evidence are kept.

Including what was likely and what was confirmed.

Step 5 of 5
RecordComplete

Illustrative.

Step 1 of 5
EquipmentChecking
MaterialsChecking
QualityChecking
Step 2 of 5
EquipmentNo faults
MaterialsNew lot Tuesday
QualityRejections up
Step 3 of 5
Likely causeResin lot R-118
Step 4 of 5
Orders at risk2
The question, as the person sees itLikely cause: resin lot R-118 from the supplier’s second site. Quarantine the lot and switch to R-117?
Step 5 of 5
RecordComplete

Who does what

Rules, AI and people, each in their place.

  • Rules and systemsPlans, thresholds, service levels, connections to MES, ERP, TMS, WMS and supplier portals.
  • AI and agents, supervisedInvestigate causes across systems, estimate impact, draft actions and messages.
  • PeopleProduction decisions, customer communication, commercial trade-offs.

What stays

A record you can follow.

Each exception, its likely cause, the evidence and the decision, so recurring causes become visible.

How the knowledge graph works →

First deployment

One exception type at one site.