Analysis and Prediction of Purchase Intention of Online Customers with Deep Learning

ABSTRACT

Nowadays, online shopping has transformed the traditional shopping trend enormously. This shift has taken a altogether enlarged view after the COVID-19 pandemic which provided world full of opportunities for customers to make purchasing online with ease of home and without compromising the safety parameters. But now every new or old, small, or big platform wants to grab their customers at any cost for which they really need to understand the demand or expectations of customer popping in. Understanding the need of the customer is the key of success for online shopping sites. In our paper, we have made use of a deep learning model to first predict whether the customer is going to make a purchase or not. After deciding this broader category, we can actually provide offers for non-purchaser or a better deal which can make them shop, and for purchasers, we can provide some loyalty cash or coupons to make them stay. In our model, we have got training accuracy of 90.24% and validation accuracy of 88.15%. And the loss of both is 23% and 28%, respectively. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.