Customer purchase behavior prediction in e-commerce: A conceptual framework and research agenda
Digital retailers are experiencing an increasing number of transactions coming from their
consumers online, a consequence of the convenience in buying goods via E-commerce …
consumers online, a consequence of the convenience in buying goods via E-commerce …
Shaping the Future of Retail: A Comprehensive Review of Predictive Analytics Models for Consumer Behavior
To succeed in today's fast-paced retail industry, businesses must be able to predict their
customers' actions. The goal of this study is to improve the accuracy of customer behaviour …
customers' actions. The goal of this study is to improve the accuracy of customer behaviour …
Customer purchase prediction through machine learning
HS Seippel - 2018 - essay.utwente.nl
Due to today's transition from visiting physical stores to online shopping, predicting customer
behavior in the context of e-commerce is gaining importance. It can in-crease customer …
behavior in the context of e-commerce is gaining importance. It can in-crease customer …
Transformer-based model for predicting customers' next purchase day in e-commerce
A Grigoraș, F Leon - Computation, 2023 - mdpi.com
The paper focuses on predicting the next purchase day (NPD) for customers in e-commerce,
a task with applications in marketing, inventory management, and customer retention. A …
a task with applications in marketing, inventory management, and customer retention. A …
Understanding product returns: A systematic literature review using machine learning and bibliometric analysis
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 …
online marketplace. How to deal with the conundrums has attracted a great deal of attention …
An anticipatory shipping system for online retailers via mining customer behavior in large e-commerce promotion
B Yang, X Xu, J Cao, K Zeng, Z Yu - Electronic Commerce Research and …, 2024 - Elsevier
The anticipatory shipping practiced by online retailers plays an important role in improving
customer satisfaction. However, online retailers face a new challenge in anticipatory …
customer satisfaction. However, online retailers face a new challenge in anticipatory …
Managing product returns: the role of forecasting
LB Toktay, EA van der Laan, MP de Brito - Reverse logistics: quantitative …, 2004 - Springer
An important challenge arising in reverse logistics supply chains is the effective use of
returns so as to maximize the value of this resource. To this end, decisions at strategic …
returns so as to maximize the value of this resource. To this end, decisions at strategic …
On the platform but will they buy? Predicting customers' purchase behavior using deep learning
A thorough understanding of online customer's purchase behavior will directly boost e-
commerce business performance. Existing studies have overtly focused on purchase …
commerce business performance. Existing studies have overtly focused on purchase …
Predicting product return volume using machine learning methods
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 …
sales sometimes exceeded 30%. Manufacturers and retailers have an interest in predicting …