CUSTOMER BEHAVIOUR ANALYSIS IN E-COMMERCE
USING MACHINELEARNING APPROACH
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Analyzing the browsing behaviour of customers is the most important aspect of modern retail e-commerce. It focuses upon tracking and understanding the finest details of customer's on-site activity. The more information an online store has about the customer, better it'll be able to serve them. Although, product is the primary element for which every transaction takes place, yet it is customer who drives the whole retail thing. This introduces a number of challenges in discovering a more accurate prediction of the information. The classification algorithms are the machine learning techniques. I...
Analyzing the browsing behaviour of customers is the most important aspect of modern retail e-commerce. It focuses upon tracking and understanding the finest details of customer's on-site activity. The more information an online store has about the customer, better it'll be able to serve them. Although, product is the primary element for which every transaction takes place, yet it is customer who drives the whole retail thing. This introduces a number of challenges in discovering a more accurate prediction of the information. The classification algorithms are the machine learning techniques. In the retail business, customer is the central figure around whom and for whom everything else is analyzed and managed.
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