Abstract
The integration of machine learning technology in the Indian e-commerce sector shows promise in bolstering customer relationships. By leveraging machine learning within customer relationship management (CRM) systems, businesses can analyze customer behaviors and make data-driven decisions which facilitates personalized advertisement campaigns, improving customer engagement and satisfaction. Machine learning aids in developing customer churn systems to identify and address factors contributing to customer attrition, enhancing overall satisfaction levels. The technology's data mining capabilities enable the prediction of customer purchasing behavior, allowing for personalized product recommendations and improved brand awareness. Furthermore, machine learning models, such as the random forest algorithm, assist in analyzing customer characteristics to devise effective relationship enhancement strategies. Moreover, sentiment analysis and natural language processing functionalities of machine learning contribute to automating customer service, further strengthening customer relationships within the Indian e-commerce landscape.
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More From: International Journal For Multidisciplinary Research
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