Istanbul: total 1,200 packs; Lot A 400 packs. Fixed illustrative demand 100 packs/week; 14 days to expiry.
GUIDED DEMO · 05 / 06
Synthetic data onlyDemand, inventory & expiry planning
Change the choices and explore the workflow’s decision points.
INTERACTIVE WORKFLOW
Uses no AI attemptSee expiry exposure. Explore transfer constraints.
Lot A: 400 packs. Receiving demand: 70 packs/week. Receiving usable starting stock: 0.
THE EFFECT OF YOUR CHOICES
Pre-expiry decision card
200Initial exposure · packs
0Conditional transfer · packs
200Residual exposure · packs
No transfer is suggested without suitability and arrival before expiry.
Constant demand, rounded down to whole packs. Validate inventory, transport and FEFO conditions before real planning.A rule-based prepared example. No task, response or transfer is sent.
01 · SAMPLE TO SEND TO AI
Evidence and checks for your selected sample
Receiving location: illustrative demand 70 packs/week; zero usable starting stock assumed for this demo. Transfer takes 3 days; quality suitability not confirmed.
Calculated card: local pre-expiry demand 200; exposed quantity 200; receiving demand after arrival before expiry 110; conditionally eligible sample transfer 0; residual exposure 200 packs.
Calculation: constant daily demand rounded down to whole packs; transfer is the lesser of exposure and receiving demand. Transfer is zero without quality suitability or arrival before expiry. Real work requires quality, transport, FEFO and other-stock checks. No order or transfer is executed.
What will we ask AI?
Explain the supplied calculation card and quality/arrival conditions. Do not recalculate quantities or execute a transfer.
Checking your session
FROM THE EXAMPLE TO YOUR WORKFLOW
Start the conversation with a concrete brief.
Review the selected sample, three adaptations, data needs and two measures in one brief. Edit it and optionally attach it to your request.
HOW WOULD THIS WORK FOR YOU?
Discuss this solution for my teamThe same idea. A solution for your workflow.
Location and lot data · Lead times and service targets · Planning and FEFO rules