Product demand using food recipe data

A computer system for optimizing food personalization, the computer system comprising:

• one or more processors,
• one or more computer-readable memories;
• and
• program instructions stored on at least one of the one or more computer-readable memories for execution by at least one of the one or more processors, the program instructions comprising:
• program instructions to generate a food profile based on a food inventory of a user, the food inventory available to a computing device in a computer-accessible form;
• program instructions to identify a plurality of food recipes based on the food profile, the plurality of food recipes available in a computer-accessible form;
• program instructions to determine a plurality of food items associated with the food inventory;
• wherein the program instructions to determine the plurality of food items comprise program instructions to invoke a machine learning model, wherein a plurality of outputs of the machine learning model comprise at least an analysis of the plurality of food items based on program instructions to scan, via a plurality of Internet-Of-Things (IOT) sensors communicatively coupled to a shopping cart, the plurality of food items added to the shopping cart by the user via a user interface on a computing device;
• wherein the machine learning model outputs a food product quantity and a duration of usage for one or more items of the food inventory;
• wherein the machine learning model receives a plurality of training datasets from a user behavior module associated with the user and trains the machine learning model utilizing program instructions comprising a plurality of external event-related data associated with one or more external events to account for a plurality of food product quantity variances;
• wherein the analysis is included in the food profile;
• program instructions to identify one or more absent food items associated with the plurality of food recipes from the plurality of food items, the one or more absent food items being absent from the food inventory;
• and
• program instructions to communicate to the user that the one or more absent food items are absent from the food inventory and at least one food based on the food profile.

A computer program product for optimizing food personalization, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, wherein the computer readable storage medium is not a transitory signal per se, the program instructions being executable by a processor to cause the processor to perform a method comprising:

• generating a food profile based on a food inventory of a user, the food inventory available to a computing device in a computer-accessible form;
• identifying a plurality of food recipes based on the food profile, the plurality of food recipes available in a computer-accessible form;
• determining a plurality of food items associated with the food inventory;
• wherein determining the plurality of food items comprises invoking a machine learning model, wherein a plurality of outputs of the machine learning model comprise at least an analysis of the plurality of food items based on scanning, via a plurality of Internet-Of-Things (IOT) sensors communicatively coupled to a shopping cart, the plurality of food items added to the shopping cart by the user via a user interface on the computing device;
• wherein the machine learning model outputs a food product quantity and a duration of usage for one or more items of the food inventory;
• wherein the machine learning model receives a plurality of training datasets from a user behavior module associated with the user and training the machine learning model comprises including a plurality of external event-related data associated with one or more external events to account for a plurality of food product quantity variances;
• wherein the analysis is included in the food profile;
• identifying one or more absent food items associated with the plurality of food recipes from the plurality of food items, the one or more absent food items being absent from the food inventory;
• and
• communicating to the user that the one or more absent food items are absent from the food inventory and at least one food based on the food profile.