Use Robotic Process Automation (RPA) and AI to automate the process of assigning shipments to drivers.
The automation process utilizes the previous shipment information for the driver, including the distance and the stoppage destinations, to predict and assign the next delivery assignment for the driver. This approach helps to ensure fairness in shipment assignment and helps to prevent driver fatigue by automating the shipment scheduling process.
The use case relies on AI to perform data analysis and prediction, allowing it to identify the next assignment for a driver based on their past performance and current availability. This ensures that each driver is assigned a workload that is appropriate for their skill level and driving capacity, while also preventing excessive fatigue or burnout.
By automating the shipment assignment process, Intelligent Automation software can help organizations reduce the workload on dispatchers and managers, who would otherwise have to manually assign shipments to drivers. This, in turn, leads to increased efficiency and productivity within the logistics operation.
This idea was suggested by: Aliffzal Hazzmie
