Multi-criteria ABC Classification Model for E-commerce

Inventory and assortment management is a significant aspect of e-commerce, and therefore, the multi-criteria ABC classification model for e-commerce is proposed. The practical application of the model is demonstrated through its implementation in an actual online shop. In addition, a comparative analysis between the traditional ABC inventory method and the improved, web-adapted model is conducted. The effectiveness of the proposed model is verified using sales data. A method for estimating costs resulting from ABC product classification errors is also described. In addition, a comparison of the three approaches to determining criteria weights is presented, revealing significant differences in the results. It is also shown that the application of an artificial intelligence technique such as neural networks allows the construction of a well-fitting model.