Abstract: Examples provide a customized travel expense system for predicting travel expenses for a user planning to travel to a remote training location and disbursing an authorized portion of the predicted travel expenses to the user at a predetermined time for utilization during a training event. A mode of travel is selected based on mode selection criteria and training schedule data. The total predicted travel expenses and a daily expense allotment is calculated based on the selected mode and a rate associated with the selected mode. A user's presence at a training event provided at the remote training location is verified based on sensor data obtained from sensor devices located at the training location. An amount of funds equivalent to at least a portion of the total predicted travel expenses is uploaded to an account associated with the user in real-time for utilization by the user during the training event.

Abstract: Examples provide a customized travel expense system for predicting travel expenses for a user planning to travel to a remote training location and disbursing an authorized portion of the predicted travel expenses to the user at a predetermined time for utilization during a training event. A mode of travel is selected based on mode selection criteria and training schedule data. The total predicted travel expenses and a daily expense allotment is calculated based on the selected mode and a rate associated with the selected mode. A user's presence at a training event provided at the remote training location is verified based on sensor data obtained from sensor devices located at the training location. An amount of funds equivalent to at least a portion of the total predicted travel expenses is uploaded to an account associated with the user in real-time for utilization by the user during the training event.