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How to calculate safety stock to save money

Determining the right stock levels for a business can be very challenging. Carrying too much inventory ties up working capital and slows down cash flow. Carrying too little leads to stockouts and poor service levels. An important step in finding the balance is accurately calculating safety stock levels.

Safety stock is inventory carried to prevent stockouts caused by fluctuating customer demand, forecast inaccuracies, or supplier lead-time variability. It aims to cover any shortfall in cycle stock during the lead time and is a key element of the reorder point formula:

The purpose of safety stock is to reduce disruption to order fulfillment while minimizing capital invested in inventory.

When demand for inventory items is consistent and lead times are reliable, it’s fairly easy to determine the amount of safety stock to meet these conditions. However, when demand and supply fluctuate, many inventory planners struggle to calculate safety stock accurately. Too often, they rely on simple safety stock formulas that fail to address their specific supply-and-demand challenges.

Three simple ways to calculate safety stock

Calculating safety stock can be simple or complex, depending on your approach. Here are three straightforward safety stock calculations along with their advantages and disadvantages.

1. Fixed safety stock levels

Many companies set a fixed safety stock level for their inventory items – that is, they add a ‘best-guess’ quantity to the reorder point to allow for any issues.

This number is often set at item group level based on the inventory management team’s judgment or assumptions rather than formal calculations.

Let’s use Mary’s Plumbing Warehouse as an example. Mary has analyzed her sales from the previous month and used these figures to set her forecast for the upcoming four weeks:

She could now simply choose to hold one week’s worth of safety stock for each SKU, based on last month’s peak weekly sales, e.g., 650, 300, and 700, respectively.

This simple method is easy to set up and manage, but often results in stock imbalances. For example, Mary might end up with too much capital invested in excess quantities of Showerhead C, while she could easily run out of Showerhead B.

2. Time-based safety stock calculations

A time-based calculation determines the average sales over a fixed period and uses this value as the safety stock level.

For example, if Mary uses her average weekly forecasts (based on last month’s sales) to calculate safety stock, she would end up with 525 units of Showerhead A, 250 extra units of Showerhead B, and 475 units of Showerhead C.

However, as with the fixed method, time-based calculations can also often lead to overstocking and understocking. One reason for this is that both approaches assume accurate demand forecasts and consistent lead times. In reality, of course, this rarely happens.

For starters, relying solely on historical sales to calculate demand often results in inaccurate forecasts – read more here. This is because each SKU in your inventory has a unique demand pattern. Some will have steady demand, while others will be more lumpy or erratic, seeing demand spikes, which forecasts based on historical consumption alone cannot account for.

At the same time, lead times can be inconsistent due to issues such as production downtime or delivery delays.

By definition, a ‘one-size-fits-all’ approach to calculating safety stock will deliver the right amount of inventory for some items, but excess or insufficient stock for others. Consequently, managers face inventory imbalances that can lead to excessive inventory costs and inconsistent service levels.

This can be seen by looking at each SKU in turn.

Mary’s forecasts indicate that the demand for Showerhead C could be much more erratic than for A or B, but she still chooses to base her safety stock on her average weekly demand.

As we can see from the actual sales figures:

Showerhead A’s actual sales exceed the forecast, but the safety stock effectively covers the demand increase with 295 safety stock units remaining.

Showerhead B’s actual sales are slightly below forecast, creating a 290-unit surplus, comprising 250 units of safety stock and 40 units of excess stock, which ties up valuable capital.

Showerhead C’s actual sales also surpass the predicted forecast, but the safety stock falls short of covering actual demand in week four by 25 units. This causes a stockout in week four and several costly backorders.

For products with more erratic demand, higher safety stock levels are required, but how do you calculate the optimal level?

3. Average/Max safety stock formula

A more prudent approach is to use an average or maximum safety stock formula, which accounts for increases in lead times and peak sales.

Mary’s average lead time is 1 week, but it can be as high as 1.5 weeks. Using this information and her sales data from last month, she can calculate safety stock for each showerhead SKU:

Shower head A: (630 x 1.5) – (582.50 x 1) = 362.50 units

Shower head B (300 x 1.5) – (240 x 1) = 210 units

Shower head C (900 x 1.5) – (600 x 1) = 750 units

Problems arise with this formula when the maximum lead time and sales are considerably higher than the average, leading to significantly inflated safety stock levels.

Statistical safety stock calculations

Statistical safety stock formulas address many drawbacks of the three methods mentioned above. Instead of relying on historical consumption or sales data to forecast demand, they use probability distributions to model demand and account for variability.

A probabilistic approach to calculating safety stock acknowledges uncertainty in predicting future events, such as demand volume and frequency, and manages this by covering a percentage of all possible inventory requirements.

We made some adjustments to our parameters to see what service level we actually need, what level of safety stock, and so on. According to the forecast, there’s a possibility to save up to SEK 10–11 million. Of course, the actual outcome may be lower depending on how the year unfolds, but the potential is there.
Patrik Boström, Operations Development Manager, Estrid

While safety stock calculations become more complex, they are also significantly more accurate because they consider  desired service levels, forecast accuracy and error, and lead time variability.

If this sounds like your next step to improving your safety stock calculations, please download our eGuide, which provides more detail on how to use statistical safety stock formulas.

Accurately determining safety stock is critical to inventory management

The more accurate you can make your safety stock calculations, the less likely you are to experience out-of-stock or excess stock situations.

Since buying inventory requires investing capital, it’s important to calculate safety stock levels as accurately as possible.

Many companies use simplified methods to calculate safety stock, foregoing accuracy. Basic formulas work well when demand and lead times are consistent, which often isn’t the case.

Adopting a sound, statistical approach to safety stock calculations ensures inventory levels balance the conflicting goals of maximizing customer service and minimizing inventory cost.

When we did stock ordering, we would think, ‘We’re going to sell 100 of these, so let’s order 150 just in case.’ We’d end up with too much stock that wouldn’t sell. Now, we can run it past EazyStock, and it will confirm or adjust our order quantity.
Jamie Lovesey, Office Sales Manager, Q4 Bathrooms

To understand more about how EazyStock inventory optimization software can help ensure you have accurate safety stock levels and save money, contact us today on +1 (844) 416-5000 or request a demo:

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