Predicting the Return of Orders in the E-Tail Industry Accompanying with Model Interpretation

https://doi.org/10.1016/j.procs.2020.09.113Get rights and content
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Abstract

Electronic Retailing (E-tailing) is one of the most impactful technology trends of recent times. This industry has dramatically enhanced the quality of human lives allowing people to shop online while having the comfort of their homes. In developing countries like Bangladesh, this industry is still rising and creating a significant economic impact. However, there exist a lot of challenges such as the return of orders that affects the growth of an E-tailer and causes revenue losses. This study addresses this most common business challenge in the E-tail industry and performs predictive modeling using 4 different state-of-the-art data mining techniques to help the industry smoothen its curve of growth. Along with predictive modeling, this study also aims to find out the most important features that influence the return of orders.

Keywords

Data Mining
E-Tailing
Order Return
Predictive Modeling
Model Interpretation

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