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METHOD AND SYSTEM FOR NUTRITIONAL PROFILING UTILIZING A TRAINABLE DATABASE

  • US 20140377725A1
  • Filed: 09/10/2014
  • Published: 12/25/2014
  • Est. Priority Date: 08/27/2008
  • Status: Abandoned Application
First Claim
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1. A method of providing a customized meal for a patron in an eatery connected to an eatery network by establishing a set of nutritional profiles in a data processing system wherein each of said profiles is utilized to establish an optimal meal menu at a given time and location and with regard to a set of available ingredients relative to said given location, said method further comprising the steps of:

  • providing a computerized network at said eatery with computer processors, wherein said computer processors perform the steps of;

    establishing a patron data profile building routine, said patron data profile comprising a set of information that includes one or more of a patron'"'"'s personal characteristics, said patron'"'"'s diet habits, said patron'"'"'s eating taste styles, or said patron'"'"'s nutritional goals, andestablishing a menu routine for receiving a set of identification information relative to a particular patron,wherein said computer processors perform the steps of;

    (a) initiating a first patron data profile building routine, wherein said patron data profile comprising a set of informations that include a person'"'"'s personal characteristics, a person'"'"'s diet habits, a person'"'"'s eating taste styles, and a person'"'"'s present nutritional goals;

    (b) entering a set of characteristics of a particular patron into a patron data profile established for said individual;

    (c) saving said set of characteristics to a first database so as to be accessible to database queries for individual profile data;

    (d) aggregating said set of characteristics within said first database with data saved for the set of all individual patrons entered into said first database on said eatery network to build a virtual eating community categorized by a set of common characteristics;

    (e) initiating a menu routine, at a networked eatery, for entering a set of identification information relative to said patron;

    (f) first matching said set of identification information relative to said patron with said aggregated data to determine a patron match;

    (g) second matching said patron match with said set of characteristics to determine an optimal menu plan that includes a set of recommendations for a customized meal recipe, in terms of said eatery'"'"'s service, that matches the eating taste styles, diet habits and the present nutritional goals of said patron;

    (h) third matching said optimal menu plan with said set of available ingredients for said networked eatery to produce a set of recommended customized meal menus for said patron;

    (j) generating a visual representation about said patron wherein said visual representation contains information about eating styles and habits, nutritional goals and said set of recommendations; and

    (k) saving said visual representation into said patron'"'"'s data profile; and

    (l) allowing said patron to choose a set of selected meal items.

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