Inventory and Warehouse
Buying by the kilogram and selling by the piece is a conversion factor defined once on the item, and the system converts on every document.
- 01 Unit
- 02 Category
- 03 Item
- 04 Warehouse
- 05 Zone and bin
- 06 Opening balance
- 07 Movement
- 08 Balance and cost
- 09 Posting proposal
Tokuva's inventory module maintains FIFO and weighted-average costing at layer level, tracks lot and serial numbers with expiry dates, and organises stock through a barcoded warehouse, zone and location hierarchy. Every approved movement updates balance, cost and a posting proposal together.
Capabilities
Cost layers
FIFO layers or weighted average; LIFO is deliberately unavailable.
Lot, serial and expiry
Batch traceability, near-expiry alerts and recall lookup.
Warehouse hierarchy
Company, site, warehouse, zone and bin, each location barcoded.
Dual units
Base unit plus conversion factor, converting automatically between weight and pieces.
Counting
Count sheets, variance analysis and the accounting entry that follows a correction.
Barcode and QR
EAN-13 generation, item QR labels and handheld terminal transfers.
Cost is held layer by layer
Inventory cost is not one average number. On a FIFO item every receipt forms a layer at its own cost and issues consume the oldest layer first, so cost of goods sold really is the cost of that batch.
On weighted-average items each receipt updates the average. The method is chosen per item. LIFO is not implemented, because Turkish tax law does not accept it.
Lot traceability exists for recalls
For food, chemical and pharmaceutical producers, knowing where a batch went is a legal obligation. Lot numbers are captured at receipt, linked to output lots in production and passed to the customer on despatch. When something goes wrong, one query shows which customer received how much from which batch.
Related
Other modules
See it on your own flow, not a slide deck
Give us three of your items, one of your structures and one of your customers. We will run a single end-to-end flow on your data — order, production, shipment, invoice, ledger.