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Customer Data Analysis in E-Commerce Using Machine Learning

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dc.contributor.author Rahib, MD Abdullah Al
dc.contributor.author Saha, Nirjhor
dc.contributor.author Mia, Raju
dc.date.accessioned 2023-04-01T03:19:35Z
dc.date.available 2023-04-01T03:19:35Z
dc.date.issued 23-01-29
dc.identifier.uri http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/10062
dc.description.abstract In this project we want to develop a feature where admin can analyze customers data and predict what customers will need and do next in order to optimize offers. It also helps the e-commerce company to reach their target customers. The goal is to replace their current manual method with the use of fully functional software applications and computerized technology. In these features we add some graphical interface in the admin dashboard. As a result, it will aid organizations in making effective use of their abilities. This project focuses on the feature where admin can explore how their customers interact with the e-commerce site, what products they have interest and how much was the average purchase of the product. On our site, we create two different sections. One for the admin panel and another for the customers. Mainly in this project, we tried to apply machine learning in e-commerce customer data for analysis and prediction. We hope this system will help the e-commerce company to perform the right actions at the right time. en_US
dc.language.iso en_US en_US
dc.publisher Daffodil International University en_US
dc.subject E-commerce en_US
dc.subject Customer services en_US
dc.subject Software applications en_US
dc.subject Machine learning en_US
dc.title Customer Data Analysis in E-Commerce Using Machine Learning en_US
dc.type Other en_US


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