AI- Powered Analytics Solutions for Business Process Optimization
DOI:
https://doi.org/10.38124/ijsrmt.v4i5.552Keywords:
AI-Powered Analytics, Business Process Optimization, Machine Learning, Process Mining, Natural Language Processing, explainable AI, Workforce UpskillingAbstract
The increasing complexity of business environments demands innovative solutions to enhance operational efficiency and decision-making. This paper reviews existing literature on AI-powered analytics solutions and their role in optimizing business processes across industries. Key AI technologies such as machine learning, process mining, and natural language processing are examined for their capabilities in predictive analytics, workflow improvement, and customer interaction enhancement. The study identifies significant benefits including cost reduction, agility, and improved service quality, alongside challenges related to legacy system integration, data privacy, and transparency. Recommendations emphasize the importance of IT modernization, ethical governance, workforce upskilling, and explainable AI adoption. This review provides valuable insights for organizations seeking to leverage AI analytics to drive data-driven growth and competitive advantage.
Downloads
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 International Journal of Scientific Research and Modern Technology

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
PlumX Metrics takes 2–4 working days to display the details. As the paper receives citations, PlumX Metrics will update accordingly.