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Optimizing Customer Journey Analytics with Generative AI: A Scalable Approach

Sumit Kumar Agrawal Kumar Agrawal , Prof. (Dr) Sangeet Vashishtha, Prof. (Dr) Sangeet Vashishtha

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Paper Contents

Abstract

Customer journey analytics plays a crucial role in understanding and optimizing the experiences that customers undergo while interacting with businesses. With the increasing complexity of customer interactions across multiple touchpoints, businesses are often challenged in gathering and analyzing data effectively. This paper explores the integration of Generative AI techniques into customer journey analytics as a scalable solution for enhancing the accuracy and personalization of customer experience insights.

Copyright

Copyright © 2025 Sumit Kumar Agrawal , Prof. (Dr) Sangeet Vashishtha. This is an open access article distributed under the Creative Commons Attribution License.

Paper Details
Paper ID: IJPREMS50300019954
ISSN: 2321-9653
Publisher: ijprems
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The International Journal of Progressive Research in Engineering, Management and Science is a peer-reviewed, open access journal that publishes original research articles in engineering, management, and applied sciences.

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