Example data · Decision result
Recommended plan: balance coverage and total cost
Cuts the under-staffed window without pushing the team into overtime, while keeping spend within the original envelope.
Coverage92%
Overtime−18%
ConfidenceHigh
Solution
Inventory and capacity planning
Use Mongeflow to model allocation choices and surface stock-out risk before the planning window closes.
What this helps with
- Inventory allocation across nodes
- Replenishment under lead-time uncertainty
- Capacity tradeoffs across stores or warehouses
- Stock-out risk review for the next horizon
Data usually required
- Inventory positions by location
- Demand signal
- Lead times and supplier constraints
- Capacity per location
Recommended outputs
- Allocation plan
- Missing-data report
- Scenario comparison
- Spreadsheet export
Dashboard surfaces
What you'll use in the product
PlanDecisionsExport
Example flow
- Describe the allocation problem
- Add inventory and demand data
- Compare allocation scenarios
- Export the plan
- Monitor follow-up
Honest limits
- Forecast quality drives recommendation quality.
Ready when you are