International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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Impact Factor: 9.24
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 6 Issue 6
November-December 2024
Indexing Partners
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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