Research on Commodity Expectation Based on ABC Classification and Association Rules

Song Haiyan,Zhang Huan,S Islam,W Liu

doi:10.1051/e3sconf/202129202026

Abstract

For some companies, sales means arranging goods and selling them on the shelves. This kind of arrangement of goods regardless of priority brings a lot of internal consumption to the enterprise. With the rapid development of the Internet and industry, many large companies have gradually established and improved their production and sales processes. The traditional ABC classification method can no longer meet this demand. The new method that can compensate for the traditional ABC classification method is particularly important. This article uses association rules to use the ABC classification method to study the expected budget of commodities, uses the Apriori and FP-Growth algorithms in the association rules to collect frequent itemsets of the acquired data, calculates the corresponding association rules, and then classifies the commodities with ABC.

Highlights

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Summary

The Design of Candidate Set for Expected Sales Amount

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Expected sale item amount frequent item set acquisition design

Frequent Item Set Evaluation Standard Design

Candidate Set Collection

ABC Classification Data Processing

ABC Classification Results