Abstract

This article aims to present the state of the art of applying machine learning to business operations.
The objective of the article is to review related research articles both domestically and internationally from 2019-2024 (5 years). In the current Machine Learning is becoming very popular. The rapid growth and transformative potential across multiple domains are due to relentless advancements in technology that are continually evolving and adaptable across diverse sectors. In particular, industries and businesses that are the main economic drivers of Thailand are beginning to recognize the importance and are increasingly applying various aspects of machine learning (ML) for business development. This includes customer data analysis, sales forecasting, demand forecasting, customer service improvement, and market data analysis. This research article will compare the characteristics, advantages and disadvantages of each type of machine learning, as well as the application of each type of machine learning in various dimensions of business. As technology continues to grow, it will impact the ability to drive innovation and increase efficiency, leading to processes that enhance business capabilities and benefits that will change business in a positive direction and respond to future national policies.