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 …

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

Returns pose a significant challenge to the e-commerce industry as they gobble up profits,
jam up operations, and leave a trail of financial woes. The objective of the current study is to …

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 …

This research paper explores the use of machine learning algorithms to predict customer
revenue in e-commerce, using the Google Analytics Customer Revenue Prediction dataset …

E-commerce is emerging as the most favored retail destination. As more and more people
are connecting to internet, the sales and revenue of online markets are increasing rapidly. In …

In 2015, US consumers returned goods worth $261 billion and the return rates for online
sales sometimes exceeded 30%. Manufacturers and retailers have an interest in predicting …

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 …

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 …

In e-commerce industry, customers' demands get fluctuated throughout the year depending
on the purchasing behavior and season. It may be a repetition period in the year, where …