Artificial Intelligence in Financial and Supply Chain Optimization: Predictive Analytics for Business Growth and Market Stability in The USA

This study investigates the application of Artificial Intelligence (AI) and Machine Learning (ML) in optimizing supply chain operations and financial forecasting in the USA. The research examines how AI-driven predictive analytics can foster business growth and stabilize markets. A diverse set of ML models is employed to address various challenges: Long Short-Term Memory (LSTM) networks are used for sequence forecasting in financial and economic domains, while Logistic Regression, Random Forest, and Boosting techniques support fraud detection. Additionally, autoencoders and Isolation Forest algorithms are applied to identify unusual financial transactions, and ARIMA models forecast demand spikes and…