Abstract: A system and a method for automating drive-thru orders are provided. In particular, a bridge board is provided that can integrate existing drive-thru hardware with computer devices executing machine learning models to detect and analyze speech from a drive-thru. The system and method employ vehicle tracking to account for vehicle behavior during its time at the drive-thru as well as enhanced vehicle analytics. Additionally, the system and method employ tools for assessing customer speed-of-service. Cameras and vehicle image analysis are used to link drive-thru and/or on-line food/beverage orders with vehicles entering the eatery property to accelerate food/beverage delivery to vehicle occupants.

Abstract: A system and a method for automating drive-thru orders are provided. In particular, a bridge board is provided that can integrate existing drive-thru hardware with computer devices executing machine learning models to detect and analyze speech from a drive-thru. The system and method employ vehicle tracking to account for vehicle behavior during its time at the drive-thru as well as enhanced vehicle analytics. Additionally, the system and method employ tools for assessing customer speed-of-service. Cameras and vehicle image analysis are used to link drive-thru and/or on-line food/beverage orders with vehicles entering the eatery property to accelerate food/beverage delivery to vehicle occupants.