Disruption tied to the order it puts at risk
A delay, a shortage or a port closure is reported as the specific customer commitments it endangers and by how much, rather than as an alert about a shipment nobody can place.
AI Supply Chain & Operations Agents
AI Agents for Supply Chain & Operations
See the disruption while there is still time to route around it, hold stock where demand will actually be, read the signal a machine gives before it fails, and send an engineer who arrives with the right part.
5Agents across stock, demand, assets and field
SignalCondition and demand read, not assumed
TracedEvery alert tied to the order it threatens
PlannerPurchase and dispatch calls stay with people
Enterprise controls
No purchase, transfer or dispatch without a personRead-only access to ERP and planning systemsEvery alert traced to the order it affectsForecast assumptions stated, not embedded
Category overview
Operations agents for the part of the business that has physical consequences
Operations is where a wrong answer costs money on a timescale nobody can undo: a container that missed a sailing, a line that stopped for a bearing, stock sitting in the wrong region for a season. The data to see most of it arrives days before the consequence, spread across an ERP, a planning system, a telemetry feed and an email from a supplier. VDF operations agents read those together, say which orders are actually threatened, and leave the buying and dispatching decisions with the planners who own them.
Stock positioned against forecast demand
Replenishment and rebalancing are proposed from projected demand at location level with the drivers stated, so the planner can argue with the assumption rather than with the number.
Intervention before the failure, not after
Condition data, maintenance history and inspection findings are read together to identify the assets whose behaviour has changed, with the evidence that suggests it.
Supply Chain & Operations Agents
Explore the supply chain & operations agents catalog
Open any agent to see how teams use it, what it produces, how it stays compliant, and the questions buyers ask most — plus related tools to go further.
Tier 2
AI Inventory Optimization Agent
Put stock where demand will be, and show the planner the driver behind the number.
Explore agent Tier 2AI Demand Forecasting Agent
Project unit demand by item and location, and report how wrong the last one was.
Explore agent Tier 2AI Predictive Maintenance Agent
Find the asset whose behaviour changed, and say what the evidence actually supports.
Explore agent Tier 2AI Quality Inspection Agent
Group the defects into the pattern behind them, and route the exception for signature.
Explore agent Tier 2AI Field Service Agent
Work out what the job needs before dispatch, so the visit is not a diagnostic trip.
Explore agent Operating model
From signal to a decision a planner makes
These five agents share a shape: read the operational systems of record, establish what has actually changed, express it as the commitment or asset it affects, and stop at the point where somebody has to commit money or move a person.
Take the systems as the truth
Orders, stock positions, asset registers, routes and schedules are read from the systems that run them, because an operations view assembled from a weekly extract is describing last Tuesday.
Establish what changed
Current state is compared with plan and with normal behaviour for the season, the route or the machine, so the output is the deviation rather than a restatement of the position.
Express it as consequence
Each deviation is traced forward to the order, the service level or the asset it affects, which is what turns a list of exceptions into a queue someone can prioritise.
Propose, then hand over
Expedites, transfers, work orders and engineer visits are prepared with their reasoning and cost, and a planner or supervisor decides which ones actually happen.
Governance & deployment
Operational autonomy stops at the purchase order
The failure mode in operations automation is not a wrong recommendation, it is a right-looking one executed at three in the morning against a supplier nobody checked. These agents hold read access to the systems of record and write nothing: every transfer, expedite, purchase and dispatch is raised as a proposal that a named person releases.
No purchase, transfer or dispatch without a personRead-only access to ERP and planning systemsEvery alert traced to the order it affectsForecast assumptions stated, not embedded
FAQ
Questions about supply chain & operations agents
What are AI supply chain and operations agents?
They are specialised agents for physical operations: inventory optimization, demand forecasting, predictive maintenance, quality inspection and field service planning — each reading your own operational systems and proposing work for a planner to release.
Can they place orders or dispatch engineers automatically?
No. They prepare the proposal with its reasoning, cost and affected orders, and a planner or supervisor commits it. Operational actions spend money and move people, so the release stays a human act.
Do they replace our planning or ERP system?
No. Those remain the systems of record and the place transactions happen. The agents read across them, which is the step no single system performs, and write their output back as proposals.
Keep exploring
Related agent categories and resources
Put supply chain & operations agents to work on your own infrastructure
See these agents applied to your operations — governed, on-premise, and orchestrated together.