This research article explores the application of machine learning (ML) and artificial intelligence (AI) in predicting supply chain fraud. The study uses real-world business transaction data from a manufacturing company to train ML and AI classifiers, aiming to identify patterns and anomalies that may indicate fraudulent activities. The findings show that ML and AI classifiers, particularly the AI model, performed exceptionally well in predicting supply chain fraud, with the AI model achieving the highest accuracy (99%) across all performance measures. The research highlights the potential of computational intelligence in detecting and preventing supply chain fraud, emphasizing the need for further development and application of these technologies in SCM. The study also discusses the limitations of the AI Sequential Model and suggests future research directions to enhance fraud detection capabilities. Overall, the paper provides valuable insights into the use of ML and AI for predictive modeling in supply chain management, underscoring their potential to improve efficiency and protect against fraud.This research article explores the application of machine learning (ML) and artificial intelligence (AI) in predicting supply chain fraud. The study uses real-world business transaction data from a manufacturing company to train ML and AI classifiers, aiming to identify patterns and anomalies that may indicate fraudulent activities. The findings show that ML and AI classifiers, particularly the AI model, performed exceptionally well in predicting supply chain fraud, with the AI model achieving the highest accuracy (99%) across all performance measures. The research highlights the potential of computational intelligence in detecting and preventing supply chain fraud, emphasizing the need for further development and application of these technologies in SCM. The study also discusses the limitations of the AI Sequential Model and suggests future research directions to enhance fraud detection capabilities. Overall, the paper provides valuable insights into the use of ML and AI for predictive modeling in supply chain management, underscoring their potential to improve efficiency and protect against fraud.