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  Published Paper Details:

  Paper Title

AI-Powered SIP Investments

  Authors

  Dr.Lekha Shree.S

  Keywords

AI, Fintech, Systematic Investment Plan, Retail Investors, Behavioral Finance, Robo-Advisors, Investment Automation, Financial technology, Smart Investment, Investor Trust.

  Abstract


The convergence of Artificial Intelligence (AI) and fintech is revolutionizing investment strategies, offering enhanced personalization, efficiency and accessibility to individual investors. Among these, systematic investment plans (SIPs) have gained significant traction due to their disciplined and long term wealth building approach. This study explores the transformative role of AI in optimizing SIP investments by analyzing its impact on investor behavior, decision making and trust. Drawing from literature in AI driven finance, behavioral economics and digital platforms, the research examines how predictive analytics, Robo-advisory systems and intelligent fund selection tools influence investor engagement. A Primary survey is conducted among Indian retail investors to assess the perception and adoption of AI- Enabled SIP platforms. The study aims to identify key variables affecting investor satisfaction and behavioral consistency, offering insights into building smarter and more sustainable financial ecosystems. The findings have implications for fintech innovators, policymakers and financial educators aiming to enhance financial inclusion through intelligent automation.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2512672

  Paper ID - 298982

  Page Number(s) - g1-g7

  Pubished in - Volume 13 | Issue 12 | December 2025

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  Dr.Lekha Shree.S,   "AI-Powered SIP Investments", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 12, pp.g1-g7, December 2025, Available at :http://www.ijcrt.org/papers/IJCRT2512672.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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