Evaluating advanced product return forecasting algorithms-a (meta-) review integrating consumer returns research

D Karl - International Journal of Business Forecasting and …, 2024 - inderscienceonline.com
While e-commerce has recently experienced substantial growth rates, retailers face
increasing consumer returns. Machine learning techniques opened up opportunities for …

Forecasting e-commerce consumer returns: a systematic literature review

D Karl - Management Review Quarterly, 2024 - Springer
The substantial growth of e-commerce during the last years has led to a surge in consumer
returns. Recently, research interest in consumer returns has grown steadily. The availability …

An e-commerce prototype for predicting the product return phenomenon using optimization and regression techniques

V Rajasekaran, R Priyadarshini - … in Computing and Data Sciences: 5th …, 2021 - Springer
E-Commerce product returns are considered as a major disease and is also a very
challenging issue that greatly impacts the revenue of the E-Commerce firm. Most of the E …

Improved Decision Support for Product Returns using Probabilistic Prediction

D Sweidan, U Johansson, B Alenljung… - 2023 Congress in …, 2023 - ieeexplore.ieee.org
Product returns are not only costly for e-tailers, but the unnecessary transports also impact
the environment. Consequently, online retailers have started to formulate policies to reduce …

Learning Reasons for Product Returns on E-Commerce

M Farber, S Novgorodov, I Guy - … of the Seventh Workshop on e …, 2024 - aclanthology.org
In the rapidly evolving landscape of e-commerce, product returns have become a significant
economic burden for businesses, where the reasons for returns may vary from wrong sizing …

Regression-based Business Decision Support: Application in Online Retail

B Khatri, M Rungi - 2022 IEEE International Conference on …, 2022 - ieeexplore.ieee.org
Electronic commerce (e-commerce) opens up various growth possibilities, with product
returns being one of the major challenges. Product returns prediction can be beneficial in …

[PDF][PDF] An Industry-Agnostic Approach for the Prediction of Return Shipments.

A Hofmann, F Gwinner, K Fuchs, A Winkelmann - AMCIS, 2020 - researchgate.net
Return shipments are a major problem in E-commerce not only economically for the
companies selling the products, but also for the environment. We introduce a universally …

Forecasting misused e-commerce consumer returns

S Drechsler, R Lasch - Logistics Management: Contributions of the Section …, 2015 - Springer
High return rates are a problem particularly concerning e-tailers. Often, these returns are
considered to come back as good as new which enables an immediate resale. This …

Understanding product returns: A systematic literature review using machine learning and bibliometric analysis

QH Duong, L Zhou, M Meng, T Van Nguyen… - International Journal of …, 2022 - Elsevier
Product Returns (PR) are an inevitable yet costly process in business, especially in the
online marketplace. How to deal with the conundrums has attracted a great deal of attention …

Using transactions data to improve consumer returns forecasting

G Shang, EC McKie, ME Ferguson… - Journal of Operations …, 2020 - Wiley Online Library
Although generous return policies have been shown to have marketing benefits, such as a
higher willingness to pay and a higher purchase frequency, counterbalancing these benefits …