The present disclosure relates to a system and method for improving scan rates of an item in a distribution network. The system may include an item scan database storing item scan datasets containing barcodes, item datasets and optical character recognition (OCR) labels datasets and a processor in data communication with the item scan database. The processor may detect an item barcode with an item orientation so as to output correct orientation information of the item. The processor may also extract available barcode information from the detected item barcode based on the correct orientation information of the item. The processor may further reconstruct a correct barcode from the extracted available barcode information and one or more of the item scan datasets.

In some implementations, a device may obtain an electronic document. The device may extract a portion of the electronic document. The device may obtain first text data associated with the portion. The device may determine whether the first text data corresponds to any of a plurality of text indicators of document types. The device may obtain, based on a determination that the first text data does not correspond to any of the plurality of text indicators, second text data associated with a greater portion of the electronic document that includes more than the first text data. The device may determine, using a machine learning model, a type of the electronic document based on the second text data. The device may determine whether the type of the electronic document differs from an expected document. The device may transmit a notification indicating that the electronic document is not the expected document.