End-consumers satisfaction with the higher efficiency and reliability of the products and services provided by the enterprises is a highly important factor in their competitiveness. However, providing efficient tracking and tracing of shipped products enhance customer loy-alty and the enterprise image. Satisfied customers are one of the enter-prise’s greatest assets. In doing so, we are mainly interested in detection of fraudulent transactions and late delivery of orders, as well as track-ing commodities and related supply chain costs over different countries. Two datasetes are used for model training and validation: DataCo Sup-ply Chain Dataset and SCMS Delivery History Dataset. A case study is worked out, and the finding results are compared to some related works in the literature. The obtained results show the added value of our pro-posed models.