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  Published Paper Details:

  Paper Title

AI In Digital Marketing: Boosting GST Compliance & Revenue

  Authors

  Namitha Hegde,  Sureshramana Mayya

  Keywords

Artificial Intelligence, GST Compliance, Digital Marketing, Tax Revenue, Predictive Analytics, India, Fiscal Policy, Automation

  Abstract


This study analyses how artificial intelligence (AI) may enhance digital marketing strategies to increase revenue generation and compliance with the Goods and Services Tax (GST) in India. Effective GST implementation is hampered by issues including poor taxpayer participation, procedural complexity, and low awareness, especially among small and medium-sized businesses (SMEs). AI offers a game-changing solution to these problems. The study looks at how artificial intelligence (AI) techniques such as chatbots, machine learning, predictive analytics, and automated content delivery may enhance filing accuracy, promote real-time monitoring, and encourage personalized interaction. It also examines global viewpoints on AI-driven tax reforms and emphasizes the significance of ethical governance, tailored strategies for specific sectors, and adaptable policy frameworks. Drawing on secondary data and literature analysis, the study offers practical recommendations for incorporating AI into the GST ecosystem. It concludes that strategic adoption of AI, backed by transparency and collaboration between the public and private sectors, can modernize tax administration, minimize evasion, and promote inclusive economic growth.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2506899

  Paper ID - 289734

  Page Number(s) - h642-h647

  Pubished in - Volume 13 | Issue 6 | June 2025

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Namitha Hegde,  Sureshramana Mayya,   "AI In Digital Marketing: Boosting GST Compliance & Revenue", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 6, pp.h642-h647, June 2025, Available at :http://www.ijcrt.org/papers/IJCRT2506899.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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