Estimate ecommerce reorder timing and quantity using demand, lead time, and safety stock assumptions so teams can set reorder points and reduce stockout risk with less guesswork.
Estimate ecommerce reorder timing and quantity using demand, lead time, and safety stock assumptions so teams can set reorder points and reduce stockout risk with less guesswork.
Inventory Reorder Calculator
Estimate when to reorder and how much to buy before stock risk turns into lost revenue or excess inventory.
Use when
You need a practical reorder point for a SKU
Demand is growing, volatile, or seasonal
Lead time is long or unreliable
You want to reduce stockouts without overbuying cash-intensive inventory
Do not use when
You need a full supply-chain planning system or ERP implementation
Historical demand is too weak to support even rough assumptions
Supplier constraints are unknown and nobody can estimate them
The task is warehouse slotting or operations design rather than reorder planning
Inputs
current on-hand inventory
average daily or weekly demand
demand variability if known
supplier lead time and lead-time variability
safety stock target or service-level preference
MOQ, carton multiple, or purchase constraints
review cycle / reorder cadence
optional promo, launch, or seasonality assumptions
Workflow
Estimate demand during lead time.
Add safety stock based on uncertainty and risk tolerance.
Calculate reorder point.
Estimate recommended reorder quantity using demand, cadence, and purchasing constraints.
Flag stockout risk, overstock risk, and assumption sensitivity.
Output
Assumptions table
Reorder point
Recommended reorder quantity
Stock-risk summary
Notes on sensitivity and next decision steps
Quality bar
Must clearly separate reorder point from reorder quantity
Must show the impact of lead time and demand uncertainty
Should support daily operating decisions, not just formula display
Should call out where assumptions are fragile
What better looks like
Better output helps the operator act with confidence:
knows when to reorder
knows roughly how much to buy
sees the cash vs stockout tradeoff
understands where lead-time risk changes the answer
can explain the decision to a buyer, founder, or ops lead