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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM40769

Customer Support Automation of Ticket Creation (RPA) using UiPath

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM40769

Volume:

9 |

1 |

Jan 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM40769

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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Authors

C

CHIRAG

SB

SAMEER BASHA

AAK

ARSALAN ALI KHAN

RK

RAKESH K

DPR

Dr. PALLAVI R

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Abstract

In the dynamic landscape of customer support, manual ticket creation from customer emails is a labor-intensive and error-prone process that impedes operational efficiency. This project proposes an automated system utilizing Robotic Process Automation (RPA) powered by UiPath to streamline the ticket creation process. The solution automates the extraction of critical data from emails, including customer IDs, issue descriptions, and priorities, to create tickets in Customer Relationship Management (CRM) systems. Missing information prompts automated follow-ups, ensuring query resolution. Additionally, the system recognizes structured templates to send predefined responses to frequently asked questions, reduces response time, and handles bounced emails by notifying support teams. Scalability is achieved through parallel bot deployments, enabling efficiency, reduces manual high-volume processing with accuracy and speed. This automation framework enhances operational workload, and improves customer satisfaction, offering a scalable model adaptable across industries.

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Cite This Article

CHIRAG, SAMEER BASHA, ARSALAN ALI KHAN, RAKESH K, Dr. PALLAVI R, "Customer Support Automation of Ticket Creation (RPA) using UiPath," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 1, Jan 2025. https://doi.org/10.55041/IJSREM40769

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Publication Date

1/15/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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5

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The authors declare no conflict of interest related to this research work.

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