Abstract: Examples provide a system for enhanced pallet label checking using computer vision and optical character recognition for faster and more efficient resolution of pallet label exceptions. The system includes a pallet manager component that obtains images of pallets from one or more image capture devices. Computer vision and machine learning is utilized to identify pallet labels on pallets which are missing or damaged such that the pallet labels are at least partially unreadable. An initial pallet label exception is created. The exceptions are assigned scores indicating a degree of confidence that the exceptions are accurate and require attention to resolve the issues associated with each label. The exceptions having high confidence scores are enhanced with customized label check instructions and real time images of the pallets. The enhanced pallet label exceptions assist users in locating pallets and resolving issues associated with pallet labels with greater speed and accuracy.

Abstract: Systems and methods of monitoring location labels on product storage structures of a product storage facility include an image capture device that captures images of the product storage structures and a computing device programmed to analyze the images of the product storage structures captured by the image capture device to detect location labels located on the product storage structures. Based on detection that one or more location labels located on the product storage structures are associated with an error condition, the computing device generates a location label alert indicating at least one location label that requires a location label check by a worker at the product storage facility. A mobile application executable on a device of the worker at the product storage facility displays a user interface that lists location labels alerts and permits the worker to print replacement labels for product structures associated with the alerts.

Abstract: Systems and methods of monitoring location labels on product storage structures of a product storage facility include an image capture device that captures images of the product storage structures and a computing device programmed to analyze the images of the product storage structures captured by the image capture device to detect location labels located on the product storage structures. Based on detection that one or more location labels located on the product storage structures are associated with an error condition, the computing device generates a location label alert indicating at least one location label that requires a location label check by a worker at the product storage facility. A mobile application executable on a device of the worker at the product storage facility displays a user interface that lists location labels alerts and permits the worker to print replacement labels for product structures associated with the alerts.