Revenue Growth Optimization: Leveraging Data Science And AI

Authors

  • Gopalakrishnan Mahadevan  Independent Researcher, USA

Keywords:

Artificial Intelligence, Data science, Churn prediction, Resource allocation, Routine operations, CRM, Predictive analysis

Abstract

Data-driven approaches to revenue optimization are transforming business strategy across sectors. By leveraging artificial intelligence and advanced analytics, companies can identify growth opportunities with unprecedented precision. This approach combines customer behavior analysis, predictive modeling, and market trend identification to optimize pricing, improve targeting, and personalize offerings. The integration of machine learning algorithms enables continuous refinement of revenue strategies through pattern recognition and automated decision support. Organizations implementing these technologies report significant improvements in conversion rates, customer lifetime value, and overall revenue performance while reducing operational costs.

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International Journal of Scientific Research in Science and Technology

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Published

2022-02-20

Issue

Volume 9, Issue 1, January-February-2022

Section

Research Articles

License

Copyright (c) IJSRST

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Gopalakrishnan Mahadevan "Revenue Growth Optimization: Leveraging Data Science And AI" International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 9, Issue 1, pp.552-557, January-February-2022.