Order processing based on predicted delay time to increase likelihood of order fulfillment within an authorization period

A computer program product comprising a non-transitory processor-readable storage medium having stored therein program code of one or more software programs, wherein the program code when executed by at least one processing device causes the at least one processing device:

• to identify a given order for one or more products to be manufactured by an entity, the given order being associated with an authorization period specifying a time in which the given order is to be fulfilled by the entity to initiate capture of blocked funds of a customer that placed the given order;
• to determine deviations in at least one of testing and repair time for different ones of the one or more products;
• to train a first machine learning model utilizing the determined deviations in the at least one of the testing and the repair time for the different ones of the one or more products;
• to determine whether the given order has at least a threshold likelihood of being delayed utilizing the first machine learning model;
• responsive to the given order having at least the threshold likelihood of being delayed, to predict a delay time of the given order utilizing a second machine learning model;
• to determine whether the predicted delay time of the given order will result in the given order being fulfilled outside of its associated authorization period;
• and
• responsive to determining that the predicted delay time of the given order will result in the given order being fulfilled outside of its associated authorization period, to initiate one or more actions to at least one of reduce the predicted delay time of the given order and extend the authorization period associated with the given order;
• wherein initiating the one or more actions comprises attempting at least one action to reduce the predicted delay time prior to attempting at least one action to extend the authorization period associated with the given order.

A method comprising:

• identifying a given order for one or more products to be manufactured by an entity, the given order being associated with an authorization period specifying a time in which the given order is to be fulfilled by the entity to initiate capture of blocked funds of a customer that placed the given order;
• determining deviations in at least one of testing and repair time for different ones of the one or more products;
• training a first machine learning model utilizing the determined deviations in the at least one of the testing and the repair time for the different ones of the one or more products;
• determining whether the given order has at least a threshold likelihood of being delayed utilizing the first machine learning model;
• responsive to the given order having at least the threshold likelihood of being delayed, predicting a delay time of the given order utilizing a second machine learning model;
• determining whether the predicted delay time of the given order will result in the given order being fulfilled outside of its associated authorization period;
• and
• responsive to determining that the predicted delay time of the given order will result in the given order being fulfilled outside of its associated authorization period, initiating one or more actions to at least one of reduce the predicted delay time of the given order and extend the authorization period associated with the given order;
• wherein initiating the one or more actions comprises attempting at least one action to reduce the predicted delay time prior to attempting at least one action to extend the authorization period associated with the given order;
• and
• wherein the method is performed by at least one processing device comprising a processor coupled to a memory.