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 …

While e-commerce has recently experienced substantial growth rates, retailers face
increasing consumer returns. Machine learning techniques opened up opportunities for …

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 …

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 …

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 …

With the rapid growth of e-tail, the cost to handle returned online orders also increases
significantly and has become a major challenge in the ecommerce industry. Accurate …

This paper presents a comparative analysis of traditional forecasting methods and machine
learning (ML) techniques for sales prediction in e-commerce. We first review the literature on …

The increasing use of online shopping has escalated product returns and consequently the
importance of their management. In parallel, the increasing scholarly interest on the subject …

Returns management–an important component of supply chain management–is a key
aspect of online retailers' business models. Despite increasing interest in this issue, few …

In online shopping, product returns are very common. Liberal return policies have been
widely used to attract shoppers. However, returns often increase expense and …