Nutritional tag ingredient substitution system, server, method, and non-transitory computer readable medium

An ingredient substitution server comprising:

• a processor and an associated memory configured to
• obtain, from a given shopper, shopper credentials associated with a loyalty program,
• obtain, using the shopper credentials, a product purchase history associated with the given shopper,
• determine at least one profile nutritional tag based upon shopper-input profile data associated with the given shopper by operating a first machine learning algorithm to learn purchase patterns of purchased products corresponding to the at least one profile nutritional tag based upon the shopper-input profile data and the product purchase history, the product purchase history being updated on an on-going basis as the purchased products are being purchased at a point-of-sale (POS) device,
• store a plurality of recipes, each recipe having a plurality of ingredients associated therewith, and each ingredient having at least one ingredient nutritional tag associated therewith,
• determine at least one recipe from among the plurality thereof likely to match desired nutritional characteristics of the given shopper by
• matching the at least one ingredient nutritional tag and the at least one profile nutritional tag,
• determining a product type and brand preference of the given shopper based upon the product purchase history, and
• operating a second machine learning algorithm by accepting as input thereto the purchase patterns so that as the shopper-input profile data and product purchase history are updated upon purchase of the purchased products, the machine learning algorithm is trained accounting for changes in the purchase patterns and outputs the at least one recipe likely to be purchased by the given shopper,
• communicate the at least one recipe to a shopper device associated with the given shopper for display thereon,
• determine a substitute ingredient for a given ingredient of the at least one recipe, the substitute ingredient having at least one substitute ingredient nutritional tag, and the substitute ingredient being determined based upon matching the at least one substitute ingredient nutritional tag and the corresponding at least one ingredient nutritional tag, a predicted purchase of the given ingredient based upon the product purchase history, availability of a digital coupon redeemable toward the substitute ingredient, and
• generate the digital coupon redeemable toward the substitute ingredient and communicate the digital coupon to the shopper device.

A method of determining a substitute ingredient comprising:

• using an ingredient substitution server to
• obtain, from a given shopper, shopper credentials associated with a loyalty program,
• obtain, using the shopper credentials, a product purchase history associated with the given shopper,
• determine at least one profile nutritional tag based upon shopper-input profile data by operating a first machine learning algorithm to learn purchase patterns of purchased products corresponding to the at least one profile nutritional tag based upon the shopper-input profile data and the product purchase history, the product purchase history being updated on an on-going basis as the purchased products are being purchased at a point-of-sale (POS) device,
• store a plurality of recipes, each recipe having a plurality of ingredients associated therewith, and each ingredient having at least one ingredient nutritional tag associated therewith,
• determine at least one recipe from among the plurality thereof likely to match desired nutritional characteristics of the given shopper by
• matching the at least one ingredient nutritional tag and the at least one profile nutritional tag,
• determining a product type and brand preference of the given shopper based upon the product purchase history, and
• operating a second machine learning algorithm by accepting as input thereto the purchase patterns so that as the shopper-input profile data and product purchase history are updated upon purchase of the purchased products, the machine learning algorithm is trained accounting for changes in the purchase patterns and outputs the at least one recipe likely to be purchased by the given shopper,
• communicate the at least one recipe to a shopper device associated with the given shopper for display thereon,
• determine a substitute ingredient for a given ingredient of the at least one recipe, the substitute ingredient having at least one substitute ingredient nutritional tag, and the substitute ingredient being determined based upon matching the at least one substitute ingredient nutritional tag and the corresponding at least one ingredient nutritional tag, a predicted purchase of the given ingredient based upon the product purchase history, and availability of a digital coupon redeemable toward the substitute product, and
• generate the digital coupon redeemable toward the substitute ingredient and communicate the digital coupon to the shopper device.

A non-transitory computer readable medium for determining a substitute ingredient, the non-transitory computer readable medium comprising computer executable instructions that when executed by a processor of an ingredient substitution server cause the processor to perform operations comprising:

• obtaining, from a given shopper, shopper credentials associated with a loyalty program;
• obtaining, using the shopper credentials, a product purchase history associated with the given shopper;
• determining at least one profile nutritional tag based upon the shopper-input profile data by operating a first matching learning algorithm to learn purchase patterns of purchased products corresponding to the at least one profile nutritional tag based upon the shopper-input profile data and the product purchase history, the product purchase history being updated on an on-going basis as the purchased products are being purchased at a point-of-sale (POS) device;
• storing a plurality of recipes, each recipe having a plurality of ingredients associated therewith, and each ingredient having at least one ingredient nutritional tag associated therewith;
• determining at least one recipe from among the plurality thereof likely to match desired nutritional characteristics of the given shopper by
• matching the at least one ingredient nutritional tag and the at least one profile nutritional tag,
• determining a product type and brand preference of the given shopper based upon the product purchase history, and
• operating a second machine learning algorithm by accepting as input thereto the purchase patterns so that as the shopper-input profile data and product purchase history are updated upon purchase of the purchased products, the machine learning algorithm is trained accounting for changes in the purchase patterns and outputs the at least one recipe likely to be purchased by the given shopper,
• communicating the at least one recipe to a shopper device associated with the given shopper for display thereon;
• determining a substitute ingredient for a given ingredient of the at least one recipe, the substitute ingredient having at least one substitute ingredient nutritional tag, and the substitute ingredient being determined based upon matching the at least one substitute ingredient nutritional tag and the corresponding at least one ingredient nutritional tag, a predicted purchase of the given ingredient based upon the product purchase history, and availability of a digital coupon redeemable toward the substitute ingredient;
• and
• generating the digital coupon redeemable toward the substitute ingredient and communicating the digital coupon to the shopper device.