Oracle Corporation
INTERACTIVE REPRESENTATION OF A ROUTE FOR PRODUCT TRANSPORTATION

Abstract:

Techniques for applying a machine learning model to historical shipping data to generate an interactive graphical user interface of a transport route are disclosed. A machine learning model is trained to compute route attributes for at least one transport provider for transporting items along a route between a source location and a destination location. The system is further configured to display the actual or estimated location of an item along the route based on a timeline. The position of the item along the route is updated as the user drags a time marker along a timeline. The system identifies and displays the attributes of the transportation segment that includes the currently displayed position of the item along the route.