International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 6 Issue 4 July-August 2024 Submit your research before last 3 days of August to publish your research paper in the issue of July-August.

The Role of Machine Learning in Enhancing the Customer Relationship of Indian E-commerce Sector

Author(s) Ujjwal Kaur
Country India
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.
Field Computer Applications
Published In Volume 6, Issue 2, March-April 2024
Published On 2024-04-11
Cite This The Role of Machine Learning in Enhancing the Customer Relationship of Indian E-commerce Sector - Ujjwal Kaur - IJFMR Volume 6, Issue 2, March-April 2024. DOI 10.36948/ijfmr.2024.v06i02.16528
DOI https://doi.org/10.36948/ijfmr.2024.v06i02.16528
Short DOI https://doi.org/gtqxz7

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