A best-selling item can disappear while a reorder rule still says everything is fine. Use actual sales and delivery history to set a trigger that fits your shop.

It is Tuesday morning, the shelf is nearly empty, and the supplier says the next delivery is four days away. The reorder note on the clipboard says to order at 20 units, but nobody remembers where 20 came from. It might be enough. It might also be the reason the item keeps vanishing before the truck arrives.

A reorder point gives a small shop a clearer answer to one question: when should we place the next order? It is a trigger, not a guarantee. The number works only when it reflects how quickly an item sells, how long replenishment actually takes, and how much uncertainty the business can reasonably carry.

Start with demand during delivery time

Suppose a shop sells about six units of a popular item each day, and the supplier usually takes five days to deliver. The shop can expect to sell about 30 units while waiting for that order. If it waits until the shelf is down to 20, it may run short before the delivery comes in.

The basic calculation is straightforward:

Reorder point = expected sales during supplier lead time + safety stock

Lead time means the stretch between placing the order and having usable stock on hand. For a simple estimate, multiply average daily sales by the number of delivery days. In the example, six units a day times five days gives 30 units of expected demand. Add a buffer for the surprises that do not fit the average.

This is the same basic approach described in Sage's guide to reorder points: combine demand during lead time with safety stock. Oracle's inventory planning reference describes the trigger in terms of safety stock plus forecast demand during replenishment lead time. Different systems may account for stock already on order or committed to customers, so check what the number on your screen actually represents.

Use your own delivery history

A supplier's stated lead time is a starting point, not always the whole story. Write down the date an order is placed and the date the goods are ready to sell. Do that for several deliveries. A five-day promise that regularly turns into seven should not be treated as a five-day planning window.

Sales deserve the same honest look. A weekly average can hide a Friday rush or a seasonal bump. Check a period that resembles the weeks ahead, and note promotions, local events, or other changes that made a stretch unusually busy or quiet. The goal is not to predict every sale. It is to use a sensible baseline instead of a number chosen because it looks tidy.

For the six-a-day item, imagine deliveries have taken five to seven days lately. A cautious planning estimate might use seven days, or 42 units of expected demand, before adding any extra buffer. If the business has room for a small buffer of 10 more units, its reorder trigger would be 52. Those figures are an example, not a universal setting. The right buffer depends on the cost of running out, the supplier's consistency, available storage, and the risk that extra units will expire or sit unsold.

Keep the buffer useful, not automatic

Safety stock protects against a late truck or an unexpected burst of demand. More of it is not always better. A larger buffer can tie up cash and shelf space. For food, cosmetics, seasonal goods, or anything else with a limited selling window, extra stock can become waste. A slow-moving item with an unreliable supplier may need a different rule from a fast seller that arrives like clockwork.

Try a small review after each delivery rather than setting a number once and forgetting it. Ask:

• Did the shipment arrive when expected?
• Did sales run hotter or quieter than the estimate?
• Did the item actually run out, or did the count in the system disagree with the shelf?
• Did the buffer leave too much stock behind?

If an item repeatedly runs out before delivery, check the sales estimate and the supplier dates before raising the trigger. If the shelf stays crowded, see whether demand has cooled or a delivery arrived early. Change one assumption at a time and write down why. That makes the next adjustment easier to explain than a mystery number with a long career on the clipboard.

Count before changing the rule

A reorder alert can only help if the stock figure is close to reality. Before placing an order, count the item on the shelf and in the back room. Look for units set aside for pickup, damaged goods, returns waiting for inspection, or a delivery that has arrived but has not been recorded. These can make the number available to sell differ from the number physically present.

Keep the measure consistent. If the supplier sells cases but customers buy single units, convert the case quantity before comparing it with daily sales. Make sure the delivery time and sales rate use matching units too. Mixing cases per week with units per day is an easy way to get a precise-looking answer that is completely wrong.

It also helps to separate the reorder trigger from the order size. The trigger tells you when to act. The quantity tells you how much to buy, which may depend on case packs, minimum orders, storage, cash, and expected demand. A reorder point does not answer that second question by itself.

Make the number a working habit

Pick a handful of items that matter most to customers or are especially troublesome to replace. For each one, record the recent sales pace, actual delivery times, and a reasonable buffer. Check the physical count before ordering, then revisit the rule when the supplier changes, the season shifts, or the item starts behaving differently.

That routine does not need a complicated spreadsheet. A short record with item, order date, ready-to-sell date, and units sold can expose a pattern that memory misses. If the point-of-sale system tracks inventory, compare its quantity with a physical count before relying on an alert. The software can keep the arithmetic tidy; the team still has to record receipts, sales, and adjustments accurately.

When you are ready to make inventory checks part of a more consistent store routine, you can download M&M POS. Whatever tools you use, review the trigger against real deliveries and actual shelf counts. A reorder point should be a useful signal, not a number the team obeys after the evidence has changed.

Direct URL: https://mmpos.app/download