AI- Powered Analytics Solutions for Business Process Optimization

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.

Authors

Publication Details

Journal
International Journal of Scientific Research and Modern Technology.
Published
2025-06-12
DOI
https://doi.org/10.38124/ijsrmt.v4i5.552
Primary Topic
Explainable Artificial Intelligence (XAI)
Type
article
Field-Weighted Citation Impact
0.00
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article

AI- Powered Analytics Solutions for Business Process Optimization

Oluchi Alapini
International Journal of Scientific Research and Modern Technology.
Explainable Artificial Intelligence (XAI)
article

AI- Powered Analytics Solutions for Business Process Optimization

Oluchi Alapini
article en

Abstract

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.

International Journal of Scientific Research and Modern Technology.
Openalex Percentile: Top 93%
Explainable Artificial Intelligence (XAI)
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