train a region detection machine learning model based on (a) the images of the product descriptions and barcodes, (b) ground truth annotations, and (c) intersection over union (IoU) comparisons of bounding boxes associated with the images;

based on satisfying a threshold IoU value of the region detection machine learning model, obtain purchase details and barcodes corresponding to a receipt, the purchase details including a first product description;

generate a first search query that includes the first product description, a list of barcodes corresponding to the barcodes, and a store identifier associated with the receipt;

execute a first search against the first dictionary using the first search query to identify a first barcode from the list of barcodes that corresponds to the first product description;

generate a second search query when the first search does not identify the first barcode, the second search query to include the first product description, the list of barcodes, and the store identifier;

execute a second search against a second dictionary based on the second search query to identify the first barcode;

associate the first barcode and the first product description; and

add the association to the first dictionary.