abc-classification

ABC classification library

ABC classification is an inventory categorisation technique. A typical example of ABC classification is the segmentation of products (entity) based on sales (value). The best-selling products that contribute to up to 70% of the total sales belong to cluster A. The products making up the next 20% of sales are in cluster B, whereas the products representing the last 10% of sales, belong to class C. Hence, the pattern is named after the three clusters (ABC).

Example

Installation

pip install abc-classification

Import

from abc_classification.abc_classifier import ABCClassifier

Let's say we have dataframe

You can create ABCClasifier object, pass your dataframe to it and call classify method.

abc_clf = ABCClassifier(df)
abc_df = abc_clf.classify('product', 'total sold')

This way you'll get new dataframe with classified products.

You also can use brief_abc method to get aggregated information

abc_clf.brief_abc(abc_df)

You can plot pareto chart.

from abc_classification.abc_visualiser import pareto_chart


pareto_chart(abc_df, 'total_sold', 'product')