Methods, apparatuses and computer program products for providing artificial-intelligence-based indicia data editing

A computer-implemented method comprising:

• receiving indicia imaging data associated with one or more captured indicia;
• determining, based on a data processing model associated with a scan setting module, a first decoded data string corresponding to a first indicia;
• modifying the first decoded data string based on user input to obtain a first input data string;
• training a predictive indicia data editing model based on the user input, wherein the predictive indicia data editing model comprises a predictive editing applicability indication that defines a characteristic requirement based on the first decoded data string;
• updating the data processing model associated with the scan setting module based at least in part on the predictive indicia data editing model;
• determining, based at least in part on the data processing model associated with the scan setting module, a second decoded data string corresponding to a second captured indicia;
• determining whether the second decoded data string satisfies at least one characteristic requirement defined by the predictive editing applicability indication;
• generating a predictive data string based on at least in part on providing the second decoded data string to the predictive indicia data editing model;
• and
• transmitting the predictive data string to an input/output module.

A computer program product comprising at least one non-transitory computer readable storage medium having computer-readable program code portions stored therein, the computer-readable program code portions comprising an executable portion configured to:

• receive, indicia imaging data associated with one or more captured indicia;
• determine, based on a data processing model associated with a scan setting module, a first decoded data string corresponding to a first indicia;
• modify the first decoded data string based on user input to obtain a first input data string;
• train a predictive indicia data editing model based on the user input, wherein the predictive indicia data editing model comprises a predictive editing applicability indication that defines a characteristic requirement based on the first decoded data string;
• update the data processing model associated with the scan setting module based at least in part on the predictive indicia data editing model;
• determine, based at least in part on the data processing model associated with the scan setting module, a second decoded data string corresponding to a second captured indicia;
• determine whether the second decoded data string satisfies at least one characteristic requirement defined by the predictive editing applicability indication;
• generate a predictive data string based on at least in part on providing the second decoded data string to the predictive indicia data editing model;
• and
• transmit the predictive data string to an input/output module.