Abstract: Systems and methods for retrieving and analyzing shipping data and rendering interfaces associated therewith are disclosed herein. An example method includes receiving an indication of a reference key from a user computing device, and aggregating, by utilizing one or more application programming interfaces (APIs), a set of data entity information from one or more shipping service provider devices. The set of data entity information may correspond to the reference key and include real-time data from each shipping service provider participating in logistics or transportation of an object from the set of data entity information along a transportation route. The example method may further include partitioning the data entity information into multiple workspace cards, and causing the user computing device to render a workspace graphical user interface (GUI) that includes at least one workspace card of the multiple workspace cards for access by a user of the user computing device.

Abstract: Systems, methods, and computer-readable medium storing instructions for using a machine learning to predict dwell times for shipments along routes are described herein. The method, system, or instructions may include training the machine learning model using training data, storing the machine learning model in a memory, accessing route data of a shipment of interest, analyzing the route data using the machine learning model, and, based on the analyzing of the route data, outputting a predicted dwell time at a stop of the shipment of interest.