METHODS AND SYSTEMS FOR PRODUCT CONSUMPTION DETERMINATION

• US 20150120378A1
• Filed: 05/29/2013
• Published: 04/30/2015
• Est. Priority Date: 05/30/2012
• Status: Abandoned Application

• Current Assignee: Graphtrack Corporation
• Original Assignee: Graphtrack Corporation
• Inventors: Arden, Nilou Sarah
• Application Number:
  US14/127,232
• Publication Number:
  US 20150120378A1
• Time in Patent Office: Days
• US Class Current: 705/7.29
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising

Abstract

Methods and systems for acquiring, processing and tracking product consumption data acquired from a point of sale and standardizing the consumption data using financial transaction data are provided. The method includes acquiring member information, product information and purchase ticket information for a given purchase by a given member where the member includes an individual, a household, a group, a third party, or combinations thereof. Associating product content dimensions with products for at least two purchases, where the product content dimensions include quantitative or qualitative values of any of nutrients, calories, ingredients, chemicals, and combinations thereof. Generating a cumulative set of data points for a given product content dimension over a period of time or set of purchases. Fitting the data to trend equations where slopes can be used to determine consumption rates for a given member over a period of time or a set of purchases.

Claims

1. A method for determining consumption data comprising the steps of:

acquiring member information, product information and purchase ticket information for a given purchase by a given member, the member comprising an individual, a household, a group, a third party, or combinations thereof, the member information comprising member identification, payment information, credentials, pass codes, account numbers or combinations thereof, the product information comprising product content dimensions, product identifiers, colors, volumes, weights, health indications, packaging information, manufacturers, sources or combinations thereof, the purchase ticket information comprising purchase date, purchase time, merchant information or combinations thereof;

associating one or more of a plurality of product content dimensions with one or more of a plurality of products for at least two purchases by a given member, the product content dimensions comprising quantitative or qualitative values of any of nutrients, calories, ingredients, chemicals, and combinations thereof, the nutrients comprising any of carbohydrates, fats, proteins, minerals, vitamins and combinations thereof;

summing one or more of a plurality of product content dimensions associated one or more of plurality of products for a given purchase by a given member;

summing cumulatively one or more of a plurality of product content dimensions from a given purchase with the equivalent product content dimensions from at least one past purchase by a given member;

generating a cumulative set of data points for a given product content dimension over a period of time or set of purchases by a given member;

using the cumulative set of data points to identify consumption data, the consumption data comprising rates, ratios or combinations thereof for one or more of a plurality of product content dimensions over a given period of time or a set of purchases by a given member;

using the cumulative set of data points over a period of time or set of purchases to identify one or more of a plurality of trends, the trends comprising one or more of a plurality of equations, lines or curves;

determining one or more of a plurality of slopes associated with the one or more of the plurality of equations, lines or curves; and

using the slopes to determine consumption rates for a given member, consumption rates comprising consumption over a period of time or a set of purchases.

2. The method of claim 1, wherein any of the member information, product information, purchase ticket information, or combinations thereof is acquired from at least one of a point of sale, a host system, a payment network, a user device, a member, a third party, or combinations thereof, the host system, the payment network or the user device configured to execute one or more of a plurality of algorithms.

3. The method of claim 2, wherein any of the host system, the payment network or the user device are in communication with the point of sale system.

4. The method of claim 1, wherein any of the member information, product information, purchase ticket information, or combinations thereof are received by at least one of a host system, a payment network, a user device, a member, a third party or combinations thereof, the host system, the payment network or the user device configured to execute one or more of a plurality of algorithms.

5. The method of claim 1, wherein the product dimensions are retrieved from a database, the database associating product identifiers with product dimensions, the product identifiers comprising barcodes, SKUs, UPCs, names, images or combinations thereof.

6. The method of claim 1, wherein the method further comprises:

using the consumption data to present textual and graphical representations of historical, current, or predictive consumption data to a given member, member account, user device, third party, output device, or combinations thereof.

7. The method of claim 6, wherein the consumption data comprises nutrition consumption rates based on one or more of a plurality of purchases by a given member, the nutrition consumption rates comprising consumption rates of calories, fat, protein, carbohydrates, minerals, vitamins, or combinations thereof.

8. The method of claim 1, wherein the method further comprises:

using the consumption data to identify and communicate suggestions, advertisements, and recommendations or combinations thereof to a member, member account, third party, output device or user device.

9. The method of claim 1, wherein the method further comprises:

using the slopes to generate one or more of a plurality of moving averages for the slopes over a period of time; and

using the one or more of a plurality of moving averages to smooth product content consumption rates over a period of time or set of purchases by a given member.

10. A method for determining consumption data comprising the steps of:

acquiring member information, product information and purchase ticket information for a given purchase by a given member, the member comprising an individual, a household, a group, a third party, or combinations thereof, the member information comprising member identification, payment information, credentials, pass codes, account numbers or combinations thereof, the product information comprising product content dimensions, product identifiers, colors, volumes, weights, health indications, packaging information, manufacturers, sources or combinations thereof, the purchase ticket information comprising purchase date, purchase time, merchant information or combinations thereof;

associating one or more of a plurality of product content dimensions with one or more of a plurality of products for at least two purchases by a given member, the product content dimensions comprising quantitative or qualitative values of any of nutrients, calories, ingredients, chemicals, and combinations thereof, the nutrients comprising any of carbohydrates, fats, proteins, minerals, vitamins and combinations thereof;

summing one or more of a plurality of product content dimensions associated one or more of plurality of products for a given purchase by a given member;

summing cumulatively one or more of a plurality of product content dimensions from a given purchase with the equivalent product content dimensions from at least one past purchase by a given member;

generating a cumulative set of data points for a given product content dimension over a period of time or set of purchases by a given member;

using the cumulative set of data points to identify consumption data, the consumption data comprising rates, ratios or combinations thereof for one or more of a plurality of product content dimensions over a given period of time or a set of purchases by a given member;

using the cumulative set of data points over a period of time or set of purchases to identify one or more of a plurality of trends, the trends comprising one or more of a plurality of equations, lines or curves;

determining one or more of a plurality of slopes associated with the one or more of the plurality of equations, lines or curves;

using the slopes to determine consumption rates for a given member, consumption rates comprising consumption over a period of time or a set of purchases;

acquiring financial transaction data for the user, the financial transaction data comprising amounts of financial transactions and product-type categories over a period of time; and

calculating an adherence metric, the adherence metric comprising the ratio of recorded spending from tracking-enabled merchants divided by total captured spending in one or more of a plurality of product-type categories, the adherence metric giving an estimated percentage of adherence to tracking-enabled merchants.

11. The method of claim 10, wherein the adherence metric is used to update a member account, third party, user device or output device with adherence-adjusted consumption data.

12. The method of claim 10, wherein the financial transaction data for a given member is acquired from at least one of a payment network, one or more of a plurality of banks, a member, a user device, a third party, or combinations thereof.

13. The method of claim 10, wherein the adherence metric provides an estimate of consumption for a given product content dimension, the estimate determined by dividing the tracked product content consumption by the adherence metric or one or more of a plurality of functions of the adherence metric.

14. The method of claim 10, wherein the method further comprises:

using the adherence-adjusted consumption data to present textual and graphical representations of historical, current, or predictive consumption data to a given member, member account, third party, user device, or output device.

15. The method of claim 10, wherein the method further comprises:

using the adherence metric to present quantitative or qualitative comparisons of consumption data for one or more of a plurality of members, the adherence metric comprising the same or different values, the one or more of a plurality of members comprising the same or different sizes.

16. The method of claim 10, wherein the method further comprises:

using the adherence-adjusted consumption rate to identify and communicate advertisements, suggestions, recommendations or combinations thereof to a member, third party, member account, user device, or output device.

17. The method of claim 10, wherein the method further comprises:

using one or more of a plurality of product content dimensions from a given purchase by a given member for gaming, trivia, or direct communication with the member.

18. A method for determining consumption data and for gaming comprising the steps of:

acquiring member information, product information and purchase ticket information for a given purchase by a given member, the member comprising an individual, a household, a group, a third party, or combinations thereof, the member information comprising member identification, payment information, credentials, pass codes, account numbers or combinations thereof, the product information comprising product content dimensions, product identifiers, colors, volumes, weights, health indications, packaging information, manufacturers, sources or combinations thereof, the purchase ticket information comprising purchase date, purchase time, merchant information or combinations thereof;

associating one or more of a plurality of product content dimensions with one or more of a plurality of products for at least two purchases by a given member, the product content dimensions comprising quantitative or qualitative values of any of nutrients, calories, ingredients, chemicals, and combinations thereof, the nutrients comprising any of carbohydrates, fats, proteins, minerals, vitamins and combinations thereof;

summing one or more of a plurality of product content dimensions associated one or more of plurality of products for a given purchase by a given member;

summing cumulatively one or more of a plurality of product content dimensions from a given purchase with the equivalent product content dimensions from at least one past purchase by a given member;

generating a cumulative set of data points for a given product content dimension over a period of time or set of purchases by a given member;

using the cumulative set of data points to identify consumption data, the consumption data comprising rates, ratios or combinations thereof for one or more of a plurality of product content dimensions over a given period of time or a set of purchases by a given member;

using the cumulative set of data points over a period of time or set of purchases to identify one or more of a plurality of trends, the trends comprising one or more of a plurality of equations, lines or curves;

determining one or more of a plurality of slopes associated with the one or more of the plurality of equations, lines or curves;

using the slopes to determine consumption rates for a given member, consumption rates comprising consumption over a period of time or a set of purchases;

acquiring financial transaction data for the user, the financial transaction data comprising amounts of financial transactions and product-type categories over a period of time;

calculating an adherence metric, the adherence metric comprising the ratio of recorded spending from tracking-enabled merchants divided by total captured spending in one or more of a plurality of product-type categories, the adherence metric giving an estimated percentage of adherence to tracking-enabled merchants;

attributing a figure of merit to one or more of a plurality of product information, member information, or purchase information from one or more of a plurality of purchases by a given member;

using the figures of merit and a set of game rules to derive or adjust a member score;

communicating the member score to any of a member, member account, third party, user device, output device, and combinations thereof; and

using the member score to identify and communicate advertisements, suggestions, recommendations or combinations thereof to any of a member, member account, third party, user device, output device, and combinations thereof.

19. The method of claim 18, wherein one or more of a plurality of figures of merit are retrieved from a database, the database associating any of member information, product information, purchase information, and combinations thereof with a given figure of merit.

20. The method of claim 18, wherein one or more of a plurality of figures of merit are associated with at least one product content dimension for a given product or purchase by a member.

21. A system for processing member information, product information and purchase information comprising:

at least one point of sale system, the point of sale system configured to transmit member information, product information, and purchase information to a host system, the host system comprising;

at least one server machine comprising;

a communications system for receiving data from and transmitting data to one or more of a plurality of networks, systems or devices;

a queuing system and a parsing system configured to organize data;

a data storage system;

at least one internal processor and internal memory configured to perform computational operations; and

software configured to execute algorithms.

22. The system of claim 21, wherein the point of sale system comprises a retail device, a retail website, a payment terminal, a payment gateway, an entry device, or combinations thereof.

23. The system of claim 21, wherein transmissions between the point of sale system and the host system occur in whole or in part through a payment network, the payment network comprising processes and systems, the processes comprising authentication, authorization and settlement, the systems comprising hardware units, the hardware units configured to execute software.

24. The system of claim 21, wherein the one or more of a plurality of devices comprises a user device, the user device configured to store, process, transmit or receive data.

25. The system of claim 21, wherein the point of sale system comprises a payment processor, the payment processor configured to acquire, transmit or store member financial transaction history.

26. The system of claim 25, wherein the host system is in communication with the payment processor, the payment processor residing within the payment network, the payment processor comprising one or more of a plurality of front end processors and one or more of a plurality of back end processors.

27. The system of claim 26, where in the host system is configured to execute one or more of a plurality of algorithms, the algorithms providing an adherence metric determining an estimate, the adherence metric providing a quantity to account for purchases from non-tracking enabled merchants.

28. The system of claim 21, wherein the host system comprises reference databases and algorithms to identify and communicate suggestions, advertisements, or recommendations to a user device or output device.

29. The system of claim 21, wherein the host system comprises a nutrition game host or is in communication with a nutrition game host, the nutrition game host system comprising reference databases and game rules algorithms to identify one or more of a plurality of figures of merit, adjust member scores, identify and communicate suggestions, advertisements, or recommendations based on member scores.

30. The system of claim 29, wherein the host system is configured to conduct nutritional or product content dimension based games, the games using any of the product information, member information, purchase information, and combinations thereof acquired from a given point of sale transaction.