Other Links

Indexed By

    •

Volume 19 Issue 2 - April 2021

  • 1. Classification of shopper’s intention to purchase and making revenue prediction

    Authors : Sakshi Katara, Chandresh Kumar Karn, Manvi Agrawal, Devendra Jamaliya, Ishika Mittal, Dr. Ankush Verma

    Pages : 20-27

    DOI : http://dx.doi.org/10.21172/1.192.03

    Keywords : Logistic Regression, GBC, Random Forest, naive Bayes, Neural Network

    Abstract :

    In recent time, the online shopping has gained huge popularity among the customers, it is very important tounderstand the intent of the customer. Understanding the factors affecting the intent of the customer plays the major rolein the success of the online business. By using machine learning models, the behavior pattern of the customers can betracked and based of their activity the result can be predicted that a customer will purchase a product or not. Whereprior research has attempted at most a limited adaptation of the information system success model, we propose acomprehensive, empirical model that separates the ‘use’ construct into ‘intention to use’ and ‘actual use’.In this paper our results give you the whole information about the consumer's intention to use is important, andaccurately predicts the usage and behavior of consumers. We describe the real-time online shopper behavior predictionsystem which predicts the users shopping intention as soon as the customer visit the website. To accomplish the task, wedepend on session and visitor information and we use naive Bayes classifier, Logistic Regression, Neural Network, GBC,decision tree and random forest investigate the dataset. In addition, we use oversampling to improve the performance andthe scalability of the classifier. The results show that random forest produces the higher accuracy and F1 Score than someother Algorithms used in this below project. Some triggering factors have been working behind this phenomenal surge ofonline shopper such as convenience, varieties of products, friendly return policy, customers review etc. Understanding thebehavior and intention of online customers has become immensely important for marketing, improving customer’sexperience which, in return, increases sales.

    Citing this Journal Article :

    Sakshi Katara, Chandresh Kumar Karn, Manvi Agrawal, Devendra Jamaliya, Ishika Mittal, Dr. Ankush Verma, "Classification of shopper’s intention to purchase and making revenue prediction", Volume 19 Issue 2 - April 2021, 20-27

    Click here to Submit Copyright Takedown Notice for this article.

    View Paper