Manufacturing Inventory Management With One Number You Can Trust.
Dharte AI tracks raw material, work in progress and finished goods from goods receipt through to dispatch — with batch and lot traceability, reorder intelligence that warns you before a stockout, and total group stock visible across every plant you run.
What is manufacturing inventory management?
Manufacturing inventory management is the control of every material the factory holds across its states: raw material waiting to be consumed, work in progress moving between operations, finished goods awaiting dispatch, plus the consumables, bought-out parts and spares that keep production running.
It is harder than warehouse stock control because the quantities change as a consequence of production rather than only through receipts and issues. That is why inventory that is not connected to production is always slightly wrong — and why the correction usually arrives as an emergency purchase.
Material and store management
Group stock view
Total inventory across every plant expressed as one number rather than a reconciliation exercise.
Inter-plant transfers
Move material between sites before you buy more, and reduce what the group carries overall.
Reorder intelligence
Minimum and maximum levels with shortage alerts raised ahead of a stockout, not after one.
Batch and lot traceability
Every material tracked from goods receipt note through to the job that consumed it.
Store management
Bin locations, issue notes and cycle counts, so the physical store and the system agree.
Inventory that knows what production is about to consume
Because inventory and production management share the same records in Dharte AI, a shortage is evaluated against the published plan rather than against a static reorder level. The result is fewer expedited purchases, and fewer lines stopped waiting for a part that was ordered a week too late.
Traceability that survives an audit
When a customer raises a concern about a dispatched part, the question is which batches went into it and where else those batches were used. Dharte AI holds that chain continuously — goods receipt, store issue, work order consumption, finished goods, dispatch — so the answer is a query rather than a week of reconstruction.
How this connects to the rest of the platform
Every Dharte AI module shares the same records, so the modules below act on the data this one produces — and vice versa.
Procurement
Requisition to PO, automated RFQs, vendor comparison and approval chains.
Learn moreProduction Management
Work orders, route cards, plan versus actual and per-shift throughput on live data.
Learn moreManufacturing ERP
The connected system of record for production, quality, materials, procurement and people.
Learn moreMaintenance
Machine health, preventive schedules, breakdown logging and spare parts.
Learn moreFrequently asked questions
Yes, and it should. Dharte AI manages raw material, work in progress, finished goods, bought-out parts, consumables and spares in one place, with batch and lot traceability and bin-level store control, all linked to the production that consumes them.
Yes. Stock is visible per site and as a single group total, and inter-plant transfers let you move material between locations before raising a new purchase order. There is no limit on the number of sites.
Each item carries minimum and maximum levels. When consumption takes an item towards its minimum, a shortage alert is raised to the responsible person and a requisition can be converted into a purchase order from the same screen.
Yes, in both directions. A batch can be traced forward to the work orders and finished goods that consumed it, and a dispatched part can be traced back to the batches it was made from.
See it running on a real manufacturing operation.
Thirty minutes, with your product types and your workflows — not a slide deck.
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