[HTML][HTML] 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 …

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 …

[HTML][HTML] Proactive Return Prediction in Online Fashion Retail Using Heterogeneous Graph Neural Networks

S Ma, W Wang - Electronics, 2024 - mdpi.com
Online fashion retailers face enormous challenges due to high return rates that significantly
affect their operational performance. Proactively predicting returns at the point of order …

Early disease diagnosis using multivariate linear regression

A Natarajan - Journal of Pharmaceutical Negative Results, 2023 - pnrjournal.com
The world population is rapidly increasing; people are prone to more diseases due to their
food habits and lifestyle changes. The proper diagnosis of the disease at the initial stages …

A Novel Approach to Predict Consumers Behaviour using Implicit Product Properties in E-Commerce using Deep Learning Techniques

V Rajasekaran, L Tamilselvan - … of Intelligent Systems and Applications in …, 2024 - ijisae.org
The proposed model presents a novel approach for predicting the behavior of consumers
using implicit product properties through deep learning techniques. The existing works only …