How to Calculate Reorder Point (With Ecommerce Examples)

The reorder point formula with ecommerce examples, plus how lead time and safety stock change it.

Your reorder point is the stock level at which you need to place a new order so that fresh stock arrives before you run out. Get it right and you stop guessing. Get it wrong and you either run out during your best week or tie up cash in boxes you didn’t need yet.

This guide covers the formula, works through ecommerce examples step by step, and explains the details that trip up online sellers: what really counts as lead time, how Amazon FBA changes the sums, and why stockout days quietly ruin your numbers.

The reorder point formula

The standard formula is:

Reorder point = (average daily demand × lead time in days) + safety stock

When the stock you have available plus stock already on order falls to or below the reorder point, it’s time to order.

That second part matters. If you have 200 units on a confirmed purchase order arriving next week, they count. Otherwise you’ll order twice.

Worked example 1: a steady seller

You sell a bamboo chopping board through your Shopify store and on eBay, all shipped from one warehouse.

Reorder point = (9 × 37) + 60 = 333 + 60 = 393 units

So when available stock plus open POs drops to 393, you place the next order.

How much to order

The reorder point tells you when. The order quantity tells you how much. A simple approach is to order enough to cover the lead time plus a target number of days of cover after the stock arrives:

Order quantity = demand × (lead time + target days of cover) + safety stock − available − on order

With 60 days of target cover and 393 units available, nothing on order:

9 × (37 + 60) + 60 − 393 − 0 = 873 + 60 − 393 = 540 units

Then round up to your supplier’s minimum order quantity (MOQ) and case pack. If they pack 24 per carton, 540 becomes 552 (23 cartons).

Worked example 2: a growing product

Averages look backwards. If a product is growing, a 60-day average underestimates what you’ll sell during the next lead time.

Say a phone case sold 4 per day two months ago and 8 per day last month. The 60-day average is 6, but the recent trend points to roughly 10 per day over the next five weeks.

Using the average: (6 × 21) + 40 = 166 Using the trend forecast: (10 × 21) + 40 = 250

Using the average, you’d reorder 84 units too late and probably run out. This is why the “average daily demand” in the formula should come from a forecast that reflects trend and seasonality. OmniRestock’s demand forecasting tests several methods against each product’s own history and uses the one with the lowest recent error.

What counts as lead time

Most sellers underestimate lead time because they only count the supplier’s quoted production time. For reorder point purposes, lead time is everything between “we decide to order” and “units are available to sell”:

Stage Typical things to include
Order processing Getting the PO approved, supplier confirming, deposit paid
Manufacturing Supplier’s production time
Shipping Sea, air or road transit, including port waiting
Customs clearance Paperwork, inspections, duty payment
Receiving Unloading, counting and putting away at your warehouse or 3PL

Write these down separately. When one part changes, for example when switching from sea to air, you can update just that part rather than guessing a new total.

Use realistic, not best-case, lead times

If your supplier says “30 days” but the last four orders took 34, 38, 31 and 41 days, use something nearer the real figure. Your safety stock can then cover the remaining variation.

Lead time for Amazon FBA

If you sell through Fulfilment by Amazon, FBA is effectively a separate warehouse. Stock in your own warehouse or 3PL isn’t sellable on Amazon until it has been sent in and received.

That means you have two reorder points:

  1. FBA transfer point: when to send stock from your warehouse to Amazon. Lead time = prep + carrier transit + Amazon receiving. Many sellers allow around two weeks, but use your own recent inbound history.
  2. Supplier reorder point: when to order from the supplier into your warehouse. Here, the demand includes the stock you plan to move into FBA.

The common mistake is counting Amazon demand twice: once as an FBA forecast and again inside the supplier order. Planned transfers into FBA should count as demand on the source warehouse, and the FBA forecast should not be added on top. Our guide to FBA replenishment from your own warehouse explains this in detail.

Worked example 3: FBA transfer point

FBA transfer point = (15 × 14) + 45 = 255 units in FBA (including units already in transit to Amazon).

Amazon also applies FBA capacity limits, so the quantity you can send may be capped. See our explainer on FBA restock and capacity limits.

Exclude stockout days from your demand

This is the most common hidden error in reorder point sums.

If you were out of stock for 10 days last month, you sold nothing on those days because you couldn’t, not because nobody wanted the product. Include those zero days and your average falls, your reorder point falls, and you run out again. It becomes a cycle.

Worked example 4: the stockout trap

In the last 30 days you sold 200 units, but you were out of stock for 10 of those days.

With a 20-day lead time and 50 units of safety stock:

That’s a 66-unit difference on a single product. Even 10 per day may understate demand, because customers who found you out of stock may have bought elsewhere. Still, excluding the days is a big improvement.

OmniRestock excludes out-of-stock days automatically and caps one-off spikes (by default anything over four times the median day), so a single viral order doesn’t inflate the reorder point either.

Reorder point across several channels

If you sell the same product on Shopify, Amazon, eBay and TikTok Shop from one warehouse, the reorder point for that warehouse needs combined demand from every channel that it fulfils.

Two things to watch:

Our guide to multichannel inventory management explains how to set this up without double counting.

Reorder point in a spreadsheet

For a small catalogue, a spreadsheet works. Columns to include:

Column Formula idea
Units sold (in-stock days only) From your order export
In-stock days Count of days with stock > 0
Daily demand Units ÷ in-stock days
Lead time days Sum of lead time parts
Safety stock See the safety stock guide
Reorder point =Daily demand * Lead time + Safety stock
Available + on order From stock report and open POs
Reorder now? =IF(Available+OnOrder<=ReorderPoint,"ORDER","OK")

Our free inventory forecasting spreadsheet template has these columns ready to use. The limits show up once you have hundreds of SKUs, several channels and changing lead times, because every number needs manual refreshing.

How often to recalculate

Recalculate whenever an input changes: demand shifts, a supplier changes lead time, or a new channel launches. In practice, sellers using spreadsheets often do it weekly or monthly. Software can do it daily. OmniRestock recalculates stockout and order-by dates every day, and immediately whenever a purchase order’s arrival date changes.

Frequently asked questions

What is the difference between reorder point and reorder quantity?

The reorder point is the stock level that triggers an order. The reorder quantity is how much you order once that point is reached. You need both.

Should I include stock on order in the comparison?

Yes. Compare available stock plus open purchase orders that have been sent or confirmed against the reorder point. Leave draft POs out because they aren’t real commitments yet.

What if my supplier has a minimum order quantity?

Calculate the quantity you need, then round up to the MOQ and case pack. If the MOQ is much larger than what you need, consider whether the extra cash tied up is worth it, or negotiate.

Is reorder point the same as “order-by date”?

They’re related. The reorder point is a quantity; the order-by date is when you’ll hit it based on your forecast. OmniRestock shows both, along with the expected stockout date.

Does the formula work for slow sellers?

For products that sell a few units at irregular intervals, a simple average can mislead. Methods designed for intermittent demand, such as Croston’s method, usually do better.

Next steps

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