Reorder Point Calculator
Test a different scenario
Change any scenario value below. Your original calculation stays unchanged.
Scenario calculations use the same formula and v2.5 validation rules as the main calculator. No scenario values are sent to Borkish.
Calculations and What-If scenarios run in your browser. Borkish does not require you to submit these values to calculate the result.
What the Reorder Point Calculator measures
A reorder point helps reduce the chance of stocking out during replenishment. Measure ecommerce performance, order economics, marketplace costs and store growth without spreadsheets.
The result becomes more useful when every input follows the same definition and reporting period. That keeps comparisons between campaigns, products, customers and time periods meaningful.
When to use this calculator
- Use the Reorder Point Calculator to review store economics using order, revenue and customer data.
- Compare product or marketplace performance using the same reporting period.
- Model how changes in conversion, fees or order value affect the business.
Formula
The result is a direct numerical output. Interpret it together with the assumptions and business context behind the inputs.
How to use this calculator
- Average Daily Unit SalesUse the value from the same reporting period or scenario as your other inputs.
- Lead Time (Days)Use the value from the same reporting period or scenario as your other inputs.
- Safety Stock UnitsUse the value from the same reporting period or scenario as your other inputs.
- Complete the required inputsThe result updates automatically as the values become valid.
- Compare the resultUse a previous period, target or relevant internal benchmark before making a decision.
Worked example
Using the demonstration values — Average Daily Unit Sales = 20, Lead Time (Days) = 14, Safety Stock Units = 100 — the calculator returns 380. The example shows how the formula behaves; replace the demonstration data with your own before using the result for planning.
How to interpret the result
A reorder point helps reduce the chance of stocking out during replenishment. Use these calculators for store planning, product economics, checkout performance and marketplace decision-making.
Check the definition of Average Daily Unit Sales, Lead Time (Days), Safety Stock Units, the attribution or accounting rules behind those inputs, and any important costs or outcomes that the formula does not include.
Common mistakes to avoid
- Using Average Daily Unit Sales and Lead Time (Days) from different reporting periods or definitions.
- Ignoring marketplace, payment or fulfilment costs when they materially affect the result.
- Using order and customer counts from different periods.
Frequently asked questions
What does this calculator do?
Estimate the inventory level at which a new order should be placed.
Where should I get the input values?
Use your own advertising platform, ecommerce system, accounting report, CRM, analytics platform or forecast — whichever source is authoritative for the metric. Keep all inputs on the same basis and date range.
Is there one good result I should target?
Usually not. A useful target depends on your margins, acquisition model, operating costs, channel, market and business goals. Your own historical performance is often a better starting benchmark than a generic number.
Can I use this for forecasting?
Yes. Enter forecast values to model a scenario, but treat the output as an estimate based on those assumptions rather than a prediction of future performance.
What to calculate next
A reorder point helps reduce the chance of stocking out during replenishment. A single metric rarely explains the whole decision, so compare this result with the related cost, conversion, margin or growth metrics below before acting on it.
Estimate how many days current inventory can cover at the current sales rate.
Estimate the wholesale price that allows a retailer to achieve a target gross margin at the specified retail price.
Estimate cost of goods sold using beginning inventory, purchases and ending inventory.
Keep reporting periods and metric definitions consistent when moving between calculators. That makes the comparison more useful than treating each result as a standalone benchmark.