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AI Supply Chain and Inventory Agent Development
Shortages seen before they bite
An agent that watches stock so that planners do not have to stare at it.
An agent that watches stock so that planners do not have to stare at it. It reads inventory, open orders and supplier confirmations, notices what will run short or pile up, and proposes replenishment or an exception action with its reasoning, for a planner to approve.
Planners manage thousands of items by exception, and the exceptions are found late. A supplier confirms a later date in an email nobody connects to the item. A product sells twice as fast for two weeks before anyone notices. The reorder report runs on Monday with rules set a year ago. The result is the familiar pair: out of stock on what sells, overstocked on what does not.
This page describes a workflow we propose to build as a custom project. It does not exist as software yet. It would reuse the rule evaluation with stated reasons and the proposed-then-approved pattern from our demonstrations. Reading inventory and order data, the replenishment logic and supplier signals are not built.
How the Work Is Done Today
Found on the shelf
A stock-out is discovered when a customer orders.
Supplier delays in emails
The new date is known and never reaches the plan.
Rules from last year
Reorder points no longer match how the item sells.
Thousands of items, two planners
Attention goes to whatever shouted last.
Too much of the wrong thing
Slow items are reordered automatically.
Proposals nobody can explain
The system says buy three hundred and gives no reason.
How One Request Moves Through
An example of one case, in 6 steps. The same steps play in the picture at the top of this page.
Daily read
The agent reads stock, open orders and yesterday's sales.
Signal found
One item has sold at twice its usual rate for ten days.
Supplier news
The supplier's confirmation for the next delivery shows a date two weeks later than ordered.
Shortage projected
Together, the item will run out in nine days. The alert shows both causes.
Options prepared
The agent proposes a transfer from another warehouse and an additional order.
Planner decides
The planner approves the transfer, asks purchasing to expedite and declines the extra order.
Six jobs it carries through
01Stock position
Knows what you have and what is coming.
- On hand, reserved and in transit
- Open purchase orders
- By location
- As of a stated time
02Demand watch
Notices changes in how items sell.
- Recent sales against the usual rate
- Known promotions and seasons
- Sustained changes, not single days
- The data behind each signal
03Supplier signals
Connects supplier news to items.
- Confirmed and revised dates
- Short shipments
- Lead times actually achieved
- Read from confirmations and messages
04Shortage and excess alerts
Says what will go wrong, and when.
- Items projected to run out
- The date and the cause
- Items building excess
- Ranked by your priorities
05Replenishment proposals
Proposes what to order.
- Quantity and date
- By your rules for pack size and minimums
- The reasoning in plain words
- Alternatives such as a transfer
06Exception actions
Prepares the response to a problem.
- Expedite, substitute or reallocate
- Customers affected
- The cost of each option, where known
- Routed to the right person
Walk One Real Case Through It
Thirty minutes, one case from your own process. We map it against the workflow on this page and tell you plainly what can be reused from our demonstrations and what has to be built for your systems.
Every Proposal Shows Its Arithmetic, and a Planner Approves It
A replenishment proposal nobody can check gets ignored or blindly accepted. Each one here shows the stock, the demand, the supplier dates and the rule that produced it. A planner approves before anything becomes an order.
The agent does not place purchase orders, change planning parameters or commit to customers. It proposes changes to rules that look out of date and leaves the decision to the planner.
- Figures read from your systems
- The calculation shown for every alert
- Supplier dates as stated
- Orders approved by a planner
- No changes to planning parameters
- Options prepared, people choose
Where It Connects
The systems named here are the kind this agent works with. Which ones it connects to in your case is settled in the scope.
ERP
- SAP
- Microsoft Dynamics
- NetSuite
- Odoo
Warehouse
- Stock by location and movements
Sales
- Orders and demand history
Purchasing
- Open orders and supplier confirmations
Planning rules
- Service levels, minimums and lead times
Planners
- The people who approve orders
Asked Before the First Call
Is this a demand forecasting system?
No. It works from your current stock, your orders, recent sales and what suppliers confirm, and applies rules you can read. It notices change early and explains it. A statistical forecast, if you have one, is an input it can use.
How is this different from the logistics quoting and shipment agent?
That agent handles individual shipments for a logistics provider. This agent looks at stock levels across items and locations for a business that holds inventory, and proposes what to order or move.
Can it place purchase orders?
It prepares them for a planner to approve. Some businesses later allow automatic ordering for low-value, stable items within tight limits. That is your decision, and the limits are yours.
What exists today?
Not as software yet. This page describes a proposed workflow. It would reuse the rule evaluation with stated reasons and the proposed-then-approved pattern from our demonstrations. Reading inventory and order data, the replenishment logic and supplier signals are not built. A project starts by mapping your process, then proving the first steps on test data before anything touches a live system.
Look Back at Your Last Five Stock-Outs
We will check when the signal first appeared in your data, and how many days of warning that would have given.