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Customer Segmentation by Using Machine Learning and E-commerce Solution

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dc.contributor.author Bepary, Anup Chandra
dc.contributor.author Ferdous, Zannatul
dc.date.accessioned 2020-12-07T10:56:05Z
dc.date.available 2020-12-07T10:56:05Z
dc.date.issued 2020-07-19
dc.identifier.uri http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/5319
dc.description.abstract Customer segmentation is very important for online businesses like e-commerce. To grow a business a person should understand their customers very thoroughly. That’s why customer segmentation is very important. It is also part of Business intelligence. This research is about clustering customers into groups. We made e-commerce for farmers where customers will sign up and from there we collected the data of the customers for the segmentation. We used unsupervised learning for the segmentation. K Means algorithm is used for the clustering. Using the clustering we can get an idea about our customers. Farmers can understand how much they should produce every year. A businessman can also make off and coupons for their customers easily and which customer will need which ads. This research will help to run an e-commerce business very efficiently with 94.44 % accuracy. en_US
dc.language.iso en_US en_US
dc.publisher Daffodil International University en_US
dc.subject Electronic Commerce en_US
dc.subject Machine Learning en_US
dc.title Customer Segmentation by Using Machine Learning and E-commerce Solution en_US
dc.type Other en_US

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