Inventory planners
Set practical stock policies using demand and lead-time evidence.
Inventory Decision Tools
Set inventory control levels, evaluate stock position and calculate a replenishment recommendation.
Minimum level
230
Maximum level
440
Inventory position
250
Suggested replenishment
190
Inventory position covers about 8.33 days. Stock is inside the planned control band. Continue monitoring consumption and supplier performance.
Business context
A min-max policy gives staff a clear replenishment trigger and target level. It is useful where continuous optimisation is unnecessary, but the minimum and maximum must reflect demand, lead time, review frequency, storage and order constraints.
This guidance is designed for people who need to use min–max stock planner results in a real approval, planning or operational workflow.
Set practical stock policies using demand and lead-time evidence.
Identify slow, excess and high-priority stock for action.
Protect availability while controlling working capital.
Input guide
| Column | Purpose | Example |
|---|---|---|
| Demand Rate * | Average usage per chosen period. | 40 per day |
| Lead Time * | Expected replenishment time. | 12 days |
| Review Period * | Time between stock reviews or orders. | 7 days |
| Safety Stock * | Buffer for uncertainty. | 160 units |
| Pack Size / Capacity | Constraints used to set a practical maximum. | 100 / 2000 |
Mapping note: Use consistent dates, currencies, units and definitions. A correct calculation based on inconsistent inputs can still lead to a poor decision.
Use the analysis as a controlled decision-support step: prepare reliable data, review the exceptions, verify the cause and document the action taken.
Clean the source data and confirm the required fields and reporting period.
Run the tool and prioritise the most important min-max results.
Validate the cause with contracts, transactions and operational evidence.
Assign actions, export the report and measure improvement in the next cycle.
Decision support
These actions are practical review priorities. Apply your organisation's approval limits, tolerance rules and contractual requirements.
Immediate
Start with records that have the greatest financial, service or operational effect. Confirm the source data before taking action.
Next
Separate genuine performance or demand movement from data quality, timing, unit, currency and process issues.
Monitor
Run the analysis on a consistent schedule, record decisions and compare whether corrective actions improve the next period.
Practical examples
The same result can require a different response depending on product criticality, shelf life, contract terms, service impact and available alternatives.
Consumables are reviewed once each week.
Expected outcome: The maximum covers lead time plus the next review period.
Cold storage limits the amount of perishable stock.
Expected outcome: The maximum is capped by usable storage and shelf life.
This decision-support tool combines the core inventory formula with current stock, risk interpretation and a practical next action. It helps buyers and inventory teams turn planning inputs into an understandable replenishment decision.
Use the result as a planning baseline and adjust for item criticality, seasonality, shelf life, order multiples and supplier reliability.
No. The calculation runs locally in your browser and does not require an account.
Include confirmed open quantities when the tool provides an inventory-position input, but exclude orders that may be cancelled or significantly delayed.