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US 11,144,982 B1Granted
System for recommending a meal kit based upon use-by dates and related methods
AssigneeInmar Clearing, Inc.
InventorsAlise Raak, Diana Medina
Life of this patent
Estimating the term…
Abstract
A system for recommending a meal kit may include a user device and a meal kit recommendation server. The meal kit recommendation server may be configured to store use-by dates for respective food items and generate a recommended meal kit based upon the use-by dates. The meal kit recommendation server may also be configured to generate a digital promotion for the recommended meal kit and communicate the recommended meal kit and the digital promotion to the user device.
Claims14
A system for recommending a meal kit comprising:
- a user device associated with a given user;
- and
- a meal kit recommendation server configured to
- store a plurality of use-by dates for respective food items for a plurality of store locations,
- store a quantity of each of the plurality of food items,
- obtain a food item purchase history associated with the given user,
- determine a geographic location of the given user based upon the user device,
- select a given store location from among the plurality of store locations based upon the determined geographic location,
- use machine learning to generate a recommended meal kit for the given store location by training a model with the use-by dates, the quantities, and the food item purchase history,
- generate a digital promotion for the recommended meal kit, the digital promotion having a promotional value associated therewith based upon the geographic location of the given user, and
- communicate the recommended meal kit and the digital promotion to the user device.
8 more elements
A meal kit recommendation server comprising:
- a processor and an associated memory configured to
- store a plurality of use-by dates for respective food items for a plurality of store locations,
- store a quantity of each of the plurality of food items,
- obtain a food item purchase history associated with the given user,
- determine a geographic location of the given user based upon a user device associated with the given user,
- select a given store location from among the plurality of store locations based upon the determined geographic location,
- use machine learning to generate a recommended meal kit for the given store location by training a model with the use-by dates, the quantities, and the food item purchase history,
- generate a digital promotion for the recommended meal kit, the digital promotion having a promotional value associated therewith based upon the geographic location of the given user, and
- communicate the recommended meal kit and the digital promotion to a user device.
6 more elements
A method of recommending a meal kit comprising:
- using a meal kit recommendation server to
- store a plurality of use-by dates for respective food items for a plurality of store locations,
- store a quantity of each of the plurality of food items,
- obtain a food item purchase history associated with the given user,
- determine a geographic location of the given user based upon a user device associated with the given user,
- select a given store location from among the plurality of store locations based upon the determined geographic location,
- use machine learning to generate a recommended meal kit for the given store location by training a model with the use-by dates, the quantities, and the food item purchase history,
- generate a digital promotion for the recommended meal kit, the digital promotion having a promotional value associated therewith based upon the geographic location of the given user, and
- communicate the recommended meal kit and the digital promotion to a user device.
6 more elements
A non-transitory computer readable medium for recommending a meal kit, the non-transitory computer readable medium comprising computer executable instructions that when executed by a processor cause the processor to perform operations comprising:
- storing a plurality of use-by dates for respective food items for a plurality of store locations;
- storing a quantity of each of the plurality of food items;
- obtaining a food item purchase history associated with the given user;
- determining a geographic location of the given user based upon a user device associated with the given user;
- selecting a given store location from among the plurality of store locations based upon the determined geographic location;
- using machine learning to generate a recommended meal kit for the given store location by training a model with the use-by dates, the quantities, and the food item purchase history;
- generating a digital promotion for the recommended meal kit, the digital promotion having a promotional value associated therewith based upon the geographic location of the given user;
- and
- communicating the recommended meal kit and the digital promotion to a user device.
6 more elements
Dependencies are inferred from the claim text.