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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM38206

Harnessing AI for Innovation in Cab Aggregation: A Literature Review on Operational Efficiency and Consumer Engagement in India

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM38206

Volume:

8 |

10 |

Oct 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM38206

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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MPK

Ms. Priti Kulkarni

DAC

Dr. Abhijit Chandratreya

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Abstract

This literature review examines the transformative impact of Artificial Intelligence (AI) on the cab aggregation industry, focusing on how AI enhances operational efficiency and improves consumer engagement. The paper synthesizes existing research on AI-driven innovations, such as dynamic pricing, predictive demand forecasting, and route optimization, which have revolutionized cab aggregator platforms. Additionally, it explores how AI-powered customer personalization, seamless booking processes, and improved service delivery contribute to enhanced customer satisfaction and loyalty. The review highlights the challenges and opportunities faced by cab aggregators as they integrate AI into their operations, offering insights into future trends in the industry.

KEYWORDS

Artificial Intelligence Cab Aggregation Operational Efficiency Consumer Engagement Dynamic Pricing Predictive Analytics.

Cite This Article

Ms. Priti Kulkarni, Dr. Abhijit Chandratreya, "Harnessing AI for Innovation in Cab Aggregation: A Literature Review on Operational Efficiency and Consumer Engagement in India," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 10, Oct 2024. https://doi.org/10.55041/IJSREM38206

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10/26/2024

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