AI-Driven Decision Making in Business Analytics

Abstract

Machine learning has the potential to transform industries, but many small and medium-sized enterprises (SMEs) struggle with the technical demands of building optimized models. To solve this, we propose an user-friendly framework powered by Automated Machine Learning (AutoML) tools. TPOT helps automate the complex task of choosing the right algorithms and hyperparameter tuning their settings, while PyCaret simplifies data preprocessing tasks such as feature engineering, class imbalance handling, and encoding. and allows quick testing of different models. Together, these tools make the entire machine learning process faster and more accessible even for those with limited experience. In a manufacturing case study, our approach improved prediction accuracy and cut down both time and cost. This solution supports scalable AI adoption and helps SMEs benefit from the power of intelligent automation.