When calculating your forecasts, SKU Science also computes each article's weight (percentage) compared to all the elements available on the platform. This method is an application of the Pareto principle according to which 80% of turnover is achieved with 20% of products.
Each article is compared to the others, receives an associated percentage, and is given a class A, B, or C according to its weight. The A products are the most important, the B comes next, and finally, the C items are normally the least representative of your business.
The objective is to focus on articles A and B as a priority, and not to spend too much time on articles C.
SKU Science allows you to configure the calculation of the ABC class.
This calculation follows certain rules that can be defined in the "Class ABC" tab.
You will understand how to modify this ABC classification by reading this article, depending on your focus: quantities, revenue, cost, margin.
To access the definition of the ABC class, all you have to do is click on the gear icon, then select
Then, you access this interface.
This list allows you to choose between 4 options.
Quantity (default choice)
By default, the calculation is based on quantities, but if you have taken the time to fill in the financial information of your items, it is a better option to select "Price" to reflect the financial weight of each item in your turnover.
History or forecast
Then you can decide to calculate the percentage based on historical data or based on forecast. By default, the calculation is made on the historical demand.
Number of periods
Here you decide how many periods to consider for the calculation.
Class A percentage
By default, it is set to 75%.
This value means that all the most important items by weight, up to a total of 75% of the classification method used, will receive a class A.
Class B percentage
By default, it is set to 15%
This value means that all articles located in the following 15%, i.e. from 75% to 90% will receive class B.
By clicking on Save, ABC classes will be recomputed with your new parameters.