Object recognition scanning systems and methods for implementing artificial intelligence based item determination are disclosed herein. Example object recognition scanning systems and methods include imaging, by an imager having a field of view (FOV) extending over a scanning area, one or more items within the FOV, and receiving image data of an item imaged by the imager during a scanning session. A trained object recognition model, taking the image data as input, determines a product identification probability for the item. The object recognition scanning systems and methods include executing one of: (a) a first decoding sequence including, (b) a second decoding sequence, or (c) a mismatch detection sequence.