25
Why the Average Based Calculations Fail?

Why the average based calculations fail when managing inventory?

  • Upload
    soft4

  • View
    506

  • Download
    4

Embed Size (px)

Citation preview

Page 1: Why the average based calculations fail when managing inventory?

Why the Average Based Calculations Fail?

Page 2: Why the average based calculations fail when managing inventory?

When managing your inventory, it is better to stick to the peaks rather than

the averages.

Wondering WHY?

Page 3: Why the average based calculations fail when managing inventory?

Let’s take an example… 3 types of flow

Smooth Flow (A) – when sales are daily and quantities are similar each day, or

changing in proportion with some trend.

Page 4: Why the average based calculations fail when managing inventory?

Flow with Peaks (B)

Most of the days have sales similar to flow, but from time to time some unordinary quantities

are sold.

Page 5: Why the average based calculations fail when managing inventory?

Rare Sales (C)

Different sales quantities + Length of period between each sale

Sum up =

Page 6: Why the average based calculations fail when managing inventory?

Now take a closer look...

Page 7: Why the average based calculations fail when managing inventory?

Item A: Smooth Flow

Peak calculations are very close to

the average calculations.

It can be managed with average based

calculations with high accuracy.

Page 8: Why the average based calculations fail when managing inventory?

So?

So, there are only about

of items with such pattern of

sales.

Page 9: Why the average based calculations fail when managing inventory?

Difference between average and peak calculation?..if the order is calculated according to the average, there is a high probability of stock out if peak appears...

Page 10: Why the average based calculations fail when managing inventory?

And?

.... And stock out leads to lost sales

and dissatisfied customers...

Page 11: Why the average based calculations fail when managing inventory?

....This fact forces to add some reserve quantities to average calculations; The higher the peaks, the more reserve is needed to compensate.

You don’t want to be in this

situation…

Page 12: Why the average based calculations fail when managing inventory?

Item B: Flow with Peaks

Average calculations do not allow recognizing sales pattern type. This means that the same

reserve will be added for items with flow or near flow patterns.

Page 13: Why the average based calculations fail when managing inventory?

So what?• This creates overstock.• Decreases inventory turnover ratio.• Consumes precious working capital.

Page 14: Why the average based calculations fail when managing inventory?

Therefore…

..quantity of items with various peak patterns may create up to 80% of total assortment.

No, I am not joking…

Page 15: Why the average based calculations fail when managing inventory?

Item C: Rare Sales

Planning of rarely sold product quantities is a huge challenge for companies that use

average-based algorithms.

Page 16: Why the average based calculations fail when managing inventory?

What could happen?

Huge difference between the average and peak calculations.

Page 17: Why the average based calculations fail when managing inventory?

And that’s it?

No, that’s not it…

It is also hard to recognize the trend of sales levels.

Page 18: Why the average based calculations fail when managing inventory?

The shorter period, for which inventory demand is calculated, the more different peak and average calculations will be.

Page 19: Why the average based calculations fail when managing inventory?

Dream Increace inventory turnover ratios while keeping high service level.

RealityThe more frequent replenishment and the shorter demand calculation period

company has, the less accurate average based calculations will be.

Page 20: Why the average based calculations fail when managing inventory?

So, thinking if you can make the dream come true?

Nowadays there are more new and effective modern inventory calculation methods, such as Dynamic Buffer

Technology...

And how?

Page 21: Why the average based calculations fail when managing inventory?

Why it is better?

Fact 1. It allows calculating inventory demand and reacting to the trends even with very complex sales patterns.

Fact 2. At the same time filtering out unnecessary peaks.

Page 22: Why the average based calculations fail when managing inventory?

Using software systems that work according Dynamic Buffer technology, such as Soft4Inventory, companies: • decrease overstock,• increase service level,• achieve high automation level for inventory management

tasks• And more!

Would you like to learn how much you could save after your inventory levels optimization?

Page 23: Why the average based calculations fail when managing inventory?

Soft4Inventory CalculatorUsing our web calculator you can calculate the approximate benefits your company might achieve after implementing Soft4Inventory.

Try the Calculator NOW

Page 24: Why the average based calculations fail when managing inventory?

Interested in learning more about the topic? Read the entire

article