A reorder point (ROP) is the inventory level that tells you when to place a replenishment order. The standard formula is:
Reorder Point = (Average Daily Demand × Lead Time) + Safety Stock
For example, if you sell 10 units per day, your supplier takes 7 days to deliver, and you keep 20 units of safety stock, your reorder point is 90 units: (10 × 7) + 20 = 90. When your available inventory approaches that level, it is time to reorder.
The formula is simple. Using it well is harder. Demand changes, suppliers arrive late, purchase orders may already be in transit, and each location can sell at a different rate. This guide explains both the calculation and the operational decisions around it.
A reorder point is a stock threshold used to trigger replenishment before inventory reaches zero. It answers one specific question: When should we reorder this item?
That is different from deciding how much to order. Reorder point sets the trigger. Order quantity, a par level, an order-up-to level, or another purchasing rule determines the quantity you buy once that trigger is reached.
Reorder points are useful for retail products, ingredients, packaging, supplies, and other inventory with reasonably repeatable demand and replenishment lead times.
The standard formula is:
ROP = (Average Daily Demand × Lead Time in Days) + Safety Stock
The first part—average daily demand multiplied by lead time—estimates how much inventory you expect to consume while waiting for the next delivery. Safety stock adds a buffer for uncertainty.
Average daily demand is the average number of units sold or consumed per day over a chosen period.
Average Daily Demand = Units Sold or Used ÷ Number of Days
If a store sold 900 units over 90 days, average daily demand is 10 units.
The lookback period matters. A short window reacts faster to recent changes but can be distorted by a promotion or unusually busy week. A longer window is smoother but can lag behind a real trend. For many operational products, reviewing 30-, 60-, and 90-day demand together gives a better picture than relying on one number.
Lead time is the time between placing an order and having the inventory available to sell or use. Include more than shipping time when relevant:
If you only place supplier orders every Monday, that ordering cadence can effectively add waiting time even when the supplier itself ships quickly.
Use actual purchase-order history when possible. A supplier that promises five days but routinely arrives in seven should be planned around the operational reality, not the brochure.
Safety stock is extra inventory held to protect against demand spikes, supplier delays, inaccurate forecasts, or other variability.
You can calculate safety stock statistically for more mature planning operations, but a simpler buffer is often sufficient for smaller businesses. The important point is that safety stock should reflect risk. A critical best seller with an unreliable supplier generally deserves a larger buffer than a slow-moving item that can be replaced locally the same day. See the safety stock formula guide for practical and statistical calculation methods.
Suppose a retail store sells a popular candle with these numbers:
Demand during lead time is:
6 × 8 = 48 units
Add safety stock:
48 + 18 = 66 units
The reorder point is 66 units. When inventory reaches roughly 66 available units, the store should trigger replenishment.
Reorder points also work for ingredients and consumables. Assume a coffee shop uses:
ROP = (12 × 2) + 10 = 34 cartons
At 34 cartons, the shop has enough expected inventory to cover two days of normal demand plus a buffer.
For perishable inventory, the tradeoff is important: increasing safety stock reduces stockout risk but can increase spoilage. The right reorder point therefore has to consider both availability and shelf life.
If demand and lead time are highly predictable, you can calculate a basic reorder point without a buffer:
ROP = Average Daily Demand × Lead Time
If you use 5 units per day and replenishment takes 4 days, the basic reorder point is 20 units.
This is mathematically valid, but operationally it assumes demand and delivery timing behave exactly as expected. Any demand spike or supplier delay can cause a stockout. That is why most businesses use some form of safety stock for important items.
This distinction causes a lot of inventory mistakes:
A product might have a reorder point of 100 units but an order quantity of 300 units. Hitting 100 triggers the purchasing decision; it does not necessarily mean you should order 100.
Order quantity can be influenced by minimum order quantities, case packs, supplier discounts, storage capacity, shelf life, target weeks of cover, and cash constraints.
Par level is commonly used in restaurants, hospitality, and other operations to describe a target or desired stock level. Depending on the business, teams may use “par” differently, so the definition should be explicit.
A useful operating model is:
If the reorder point is 40 and the target level is 100, hitting 40 tells you it is time to order. The gap to the target helps inform how much you need, after accounting for stock already on order and other commitments.
Usually, an open purchase order does not change the underlying reorder point formula. It changes whether you need to place another order.
This is where inventory position becomes more useful than looking only at quantity on hand. A simplified inventory-position view considers:
Inventory Position = On Hand + On Order − Allocated or Backordered Demand
Imagine your reorder point is 100 units. You have 70 units physically on hand, but 80 more units are already confirmed on an open purchase order. Looking only at on-hand stock might trigger an unnecessary second order. Looking at incoming supply helps you make the correct purchasing decision.
The practical rule: compare the reorder threshold against the inventory that is actually available or expected after considering committed demand and confirmed incoming stock, using a consistent definition in your inventory system.
Averages work best when demand is relatively stable. If sales are seasonal, promotional, rapidly growing, or intermittent, a static reorder point can become stale quickly.
Adjust for variable demand by:
Historical sales answer “what usually happened.” Replenishment planning needs to ask “what are we likely to consume before the next order can arrive?” See inventory forecasting methods for approaches to seasonal, trending, and changing demand.
Do not automatically use one reorder point for every location. A flagship store selling 20 units per day and a smaller store selling 4 units per day need different thresholds even when both buy from the same supplier.
Calculate the demand component by location:
Location ROP = (Location Daily Demand × Location Lead Time) + Location Safety Stock
This is especially important when locations receive inventory separately. If stock is replenished centrally and then transferred between stores, your model also needs to account for transfer lead time and stock available at the hub.
For more on that operating model, see Stash’s multi-location inventory management page.
Reorder points are not set-and-forget numbers. Recalculate them whenever the inputs materially change.
Common triggers include:
High-value and fast-moving items deserve more frequent review than low-impact inventory. An ABC inventory analysis can help prioritize which reorder points require the most attention.
Measure how long orders really take. If deliveries repeatedly arrive late, the reorder point needs to reflect that risk.
The ROP tells you when to act, not automatically how much to buy.
Reordering from physical on-hand quantity alone can create duplicate purchase orders and excess inventory.
Different locations often have different sales velocities, lead times, and service requirements.
A threshold based on last year’s demand can be actively harmful when the product or business has changed.
More buffer is not always better. Excess safety stock ties up cash and can create waste or obsolescence. It also increases inventory carrying cost, so buffers should balance availability against the cost of holding stock.
A useful inventory replenishment workflow connects several pieces of information:
That is where dedicated inventory software becomes more useful than a spreadsheet. Instead of calculating a threshold in isolation, teams can evaluate stock, sales, suppliers, purchasing, and incoming inventory in the same workflow.
Stash gives growing physical businesses a central system for real-time inventory visibility, stock alerts, forecasting, suppliers, purchase orders, and multi-location inventory management. The goal is not to remove operator judgment; it is to give that judgment better data.
| Input | Example |
|---|---|
| Average daily demand | 10 units/day |
| Lead time | 7 days |
| Lead-time demand | 70 units |
| Safety stock | 20 units |
| Reorder point | 90 units |
The standard formula is (average daily demand × lead time) + safety stock. It estimates the inventory level at which replenishment should be triggered so expected demand during supplier lead time is covered.
There is no universal good reorder point. It should be specific to the item and location, based on demand, replenishment lead time, and the amount of uncertainty you want to buffer with safety stock.
Yes, for items you intentionally do not keep in stock or only purchase after demand occurs. That operating model is different from stocked inventory and should be configured deliberately.
No. Safety stock is the buffer for uncertainty. Reorder point includes expected demand during lead time plus safety stock.
No. Reorder point tells you when to reorder. Order quantity is a separate decision influenced by target stock, minimum order quantities, case packs, storage, cash, and other constraints.
Start with your highest-impact SKUs. Calculate average demand, measure real supplier lead times, choose a sensible buffer, and review the result against actual stockout and overstock history.
Then connect the calculation to the rest of the purchasing workflow. Read How to Create a Purchase Order, explore Stash inventory management software, or review Stash pricing.
Stash connects inventory tracking, forecasting, purchasing, suppliers, and multi-location visibility so growing physical businesses can act on the numbers with less manual work.