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Harnessing Machine Learning to Optimize Customer Relations: A Data-Driven Approach

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Micro-Electronics and Telecommunication Engineering (ICMETE 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 894))

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Abstract

In today’s competitive business landscape, optimizing customer relations is paramount for sustained success. Harnessing the power of machine learning, this research presents a data-driven approach to achieve this objective. By leveraging three prominent algorithms, namely Linear Regression (LR), decision tree (DT), and support vector machine (SVM), customer behavior patterns are identified and analyzed. Through the systematic examination of vast datasets, this study attains an impressive accuracy of 95%. The findings showcase the potential of machine learning in enhancing customer relations, enabling businesses to make more informed decisions, tailor personalized experiences, and foster long-lasting customer loyalty. This data-driven approach promises to revolutionize CRM strategies, propelling enterprises toward unparalleled growth and success.

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Author information

Authors and Affiliations

  1. Department of Computer Science, ERA University, Lucknow, Uttar Pradesh, India

    Santosh Kumar

  2. Sharda University, Greater Noida, Uttar Pradesh, India

    Priti Verma & Richa Pandey

  3. School of Business, Auro University, Surat, Gujarat, India

    Dhaarna Singh Rathore

  4. Department of Computer Science and Engineering, Graphic Era Hill University, Dehradun, Uttarakhand, India

    Gunjan Chhabra

Authors
  1. Santosh Kumar
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  2. Priti Verma
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  3. Dhaarna Singh Rathore
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  4. Richa Pandey
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  5. Gunjan Chhabra
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Corresponding author

Correspondence to Gunjan Chhabra .

Editor information

Editors and Affiliations

  1. Department of Electronics and Communication Engineering, ABES Engineering College, Ghaziabad, Uttar Pradesh, India

    Devendra Kumar Sharma

  2. National Taipei University of Business, Taoyuan, Taiwan

    Sheng-Lung Peng

  3. Department of Electronics and Communication Engineering, ABES Engineering College, Ghaziabad, Uttar Pradesh, India

    Rohit Sharma

  4. Department of Embedded Systems Engineering, Incheon National University, Incheon, Korea (Republic of)

    Gwanggil Jeon

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© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Kumar, S., Verma, P., Rathore, D.S., Pandey, R., Chhabra, G. (2024). Harnessing Machine Learning to Optimize Customer Relations: A Data-Driven Approach. In: Sharma, D.K., Peng, SL., Sharma, R., Jeon, G. (eds) Micro-Electronics and Telecommunication Engineering. ICMETE 2023. Lecture Notes in Networks and Systems, vol 894. Springer, Singapore. https://doi.org/10.1007/978-981-99-9562-2_36

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  • DOI: https://doi.org/10.1007/978-981-99-9562-2_36

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-9561-5

  • Online ISBN: 978-981-99-9562-2

  • eBook Packages: EngineeringEngineering (R0)

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