Intelligent Decision-Making: Using Control Tower at a Logistics Company

We propose a modelling framework using the fuzzy neural algorithm for generating various scenarios for better decision-making. The model framework and the architecture responsible for daily decision-making enhances information management system in transportation and logistics processes. This application augments the capability of `Control Tower' as a visualization tool to decision-making, finding possibilities, self-learning and prevention of unwanted situations.