Smart Issue Prioritization for Managers Using NLP and AI

R. Edward Syed; S. Kaliyugayaratharajan; D. Amirthaa; V. Rajasekar

doi:10.2991/978-94-6463-866-0_54

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Smart Issue Prioritization for Managers Using NLP and AI

Authors

R. Edward Syed¹, S. Kaliyugayaratharajan¹, D. Amirthaa¹, V. Rajasekar¹^{, *}

¹SRM Institute of Science and Technology- Vadapalani Campus, No. 1 Jawaharlal Nehru Road, Vadapalani, Chennai, TN, India

^*Corresponding author. Email: rajasekv2@srmist.edu.in

Corresponding Author

V. Rajasekar

Available Online 31 October 2025.

DOI: 10.2991/978-94-6463-866-0_54 How to use a DOI?
Keywords: AI-Powered Issue Management; Sentiment and Urgency Detection; Text Input Prioritization; Machine Learning for Feedback Analysis; Email and Ticket Classification; Smart Response Suggestion; Workflow Optimization; Real-Time Issue Analysis; Supervised Learning; Priority Scoring System; Business Process Automation; NLP-Based Decision Support; Feedback Categorization; Intelligent Complaint Handling
Abstract: In contemporary businesses, managing the increasing number of issues and complaints by hand frequently leads to delays and inefficiencies. To solve this, we suggest an AI-powered system that automatically analyzes and ranks text-based inputs from emails, tickets, and feedback using Natural Language Processing (NLP) and machine learning. Assigning priority levels and suggesting prompt responses, the algorithm evaluates mood, urgency, and relevancy. This method increases overall operating efficiency, speeds up problem solving, and facilitates better decision-making.
Copyright: © 2025 The Author(s)
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title: Proceedings of the International Conference on Intelligent Systems and Digital Transformation (ICISD 2025)
Series: Atlantis Highlights in Intelligent Systems
Publication Date: 31 October 2025
ISBN: 978-94-6463-866-0
ISSN: 2589-4919
DOI: 10.2991/978-94-6463-866-0_54 How to use a DOI?
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

ris enw bib

TY  - CONF
AU  - R. Edward Syed
AU  - S. Kaliyugayaratharajan
AU  - D. Amirthaa
AU  - V. Rajasekar
PY  - 2025
DA  - 2025/10/31
TI  - Smart Issue Prioritization for Managers Using NLP and AI
BT  - Proceedings of the International Conference on Intelligent Systems and Digital Transformation (ICISD 2025)
PB  - Atlantis Press
SP  - 655
EP  - 667
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-866-0_54
DO  - 10.2991/978-94-6463-866-0_54
ID  - Syed2025
ER  -

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