USER SPECIFIC PURCHASING GUIDE SYSTEMS AND METHODS

• US 20160035036A1
• Filed: 10/15/2015
• Published: 02/04/2016
• Est. Priority Date: 06/28/2013
• Status: Abandoned Application

• Current Assignee: PayPal, Inc. (PayPal Holdings, Inc.)
• Original Assignee: PayPal, Inc. (PayPal Holdings, Inc.)
• Inventors: Eramian, David Edward
• Application Number:
  US14/884,605
• Publication Number:
  US 20160035036A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06Q 30/0206 Price or cost determination based on market factors
• CPC Class Codes: G06Q 30/0601 Electronic shopping [e-shopping]
• CPC Class Codes: G06Q 30/0631 Item recommendations
• CPC Class Codes: G06Q 40/06 Asset management; Financial planning or analysis

Abstract

There is provided systems and method for a user specific purchasing guide. The methods include receive user specific financial information corresponding to a user, receive item specific pricing information corresponding to an item selected by the user, and determine user specific purchase recommendations for the item using the user specific financial information, the item specific pricing information, and general price predictors, wherein the user specific recommendations include at least a time and price to purchase the item.

Claims

1. A service provider'"'"'s system, comprising:

a non-transitory memory storing a website application interface for a purchasing guide website provided by the service provider and an account for a user;

one or more hardware processors coupled to the non-transitory memory and configured to read instructions from the non-transitory memory to cause the system to perform operations comprising;

receiving a login request to the account with the purchasing guide website from an application executing on a device used by the user;

determining an item of interest to the user for purchase based on user preferences stored with the account;

determining user financial data for the user, wherein the user financial data comprises income and debts of the user;

determining whether the user will receive at least one of a new income or a new debt different from the income and the debts using the user financial data;

accessing pricing information for the item of interest;

determining recommendation data using the pricing information and comprising a time for purchase by the user of the item of interest using the user financial data and the determination of whether the user will receive the at least one of the new income and the new debts at the future time; and

outputting the recommendation data through a graphical user interface of the application executing on a device for the user, wherein the recommendation data is displayed with the account of the user on the purchasing guide website.

2. The system of claim 1, wherein the pricing information comprises seasonal price changes, and wherein the recommendation data comprises a graphical indicator of a seasonal alert displayed through the graphical user interface.

3. The system of claim 1, wherein the pricing information comprises price fluctuation predictors of the item of interest caused by at least one of seasonal pricing predictors for the item of interest at a future time, inventory predictors for the item of interest, and consumer buying pattern predictors for the item of interest by other consumers.

4. The system of claim 3, wherein the time for purchase comprises a present data when the price fluctuation predictors indicate an increasing price, and wherein the time for purchase comprises a future date when the price fluctuation predictors indicate a lowest future price.

5. The system of claim 3, wherein the one or more hardware processors are further configured to read instructions from the non-transitory memory to cause the system to perform operations comprising:

determining available credit to the user for purchase of the item of interest using the user financial data, wherein the available credit comprises terms of credit having at least one of an interest rate and fees associated with use of the available credit;

determining a total cost for purchase of the item of interest at a present date using the available credit based on the terms of credit;

determining a future cost for the purchase of the item with available assets to the user at a future date using the price fluctuation predictors,

wherein the recommendation data comprises the total cost and the future cost.

6. The system of claim 5, wherein the time for purchase comprises the present date when the total cost is less than the future cost, and wherein the time for purchase comprises the future date when the future cost is less than the total cost.

7. The system of claim 1, wherein the pricing information comprises a current price of the item of interest, and wherein the pricing information further comprises an expected devaluation of the item of interest over time.

8. The system of claim 1, wherein the user financial data further comprises current assets held by the user.

9. The system of claim 8, wherein the debts of the user comprise mandatory debts required for payment by the user, and wherein the time to purchase does not cause the current assets of the user to fall below a threshold amount required for payment of the mandatory debts.

10. The system of claim 1, wherein the new income comprises one of a tax refund, a gift, and an investment payout.

11. The system of claim 1, wherein the new debt comprises one of personal taxes, a payout, and an investment loss.

12. The system of claim 1, wherein the one or more hardware processors are further configured to read instructions from the non-transitory memory to cause the system to perform operations comprising:

accessing personal information for the user from the account of the user, wherein the user financial data is determined using the personal information.

13. A method comprising:

receiving a login request to the account with the purchasing guide website from an application executing on a device used by the user;

determining an item of interest to the user for purchase based on user preferences stored with the account;

determining user financial data for the user, wherein the user financial data comprises income and debts of the user;

determining whether the user will receive at least one of a new income or a new debt different from the income and the debts using the user financial data;

accessing pricing information for the item of interest;

determining recommendation data using the pricing information and comprising a time for purchase by the user of the item of interest using the user financial data and the determination of whether the user will receive the at least one of the new income and the new debts at the future time; and

outputting the recommendation data through a graphical user interface of the application executing on a device for the user, wherein the recommendation data is displayed with the account of the user on the purchasing guide website.

14. The method of claim 13, wherein the pricing information comprises seasonal price changes, and wherein the recommendation data comprises a graphical indicator of a seasonal alert displayed through the graphical user interface.

15. The method of claim 13, wherein the pricing information comprises price fluctuation predictors of the item of interest caused by at least one of seasonal pricing predictors for the item of interest at a future time, inventory predictors for the item of interest, and consumer buying pattern predictors for the item of interest by other consumers.

16. The method of claim 15, wherein the time for purchase comprises a present data when the price fluctuation predictors indicate an increasing price, and wherein the time for purchase comprises a future date when the price fluctuation predictors indicate a lowest future price.

17. The method of claim 13, wherein the pricing information comprises a current price of the item of interest, and wherein the pricing information further comprises an expected devaluation of the item of interest over time.

18. The method of claim 13, wherein the user financial data further comprises current assets held by the user.

19. The method of claim 13, wherein the new income comprises one of a tax refund, a gift, and an investment payout.

20. A non-transitory machine-readable medium having stored thereon machine-readable instructions executable to cause a machine to perform operations comprising:

receiving a login request to the account with the purchasing guide website from an application executing on a device used by the user;

determining an item of interest to the user for purchase based on user preferences stored with the account;

determining user financial data for the user, wherein the user financial data comprises income and debts of the user;

determining whether the user will receive at least one of a new income or a new debt different from the income and the debts using the user financial data;

accessing pricing information for the item of interest;

determining recommendation data using the pricing information and comprising a time for purchase by the user of the item of interest using the user financial data and the determination of whether the user will receive the at least one of the new income and the new debts at the future time; and

outputting the recommendation data through a graphical user interface of the application executing on a device for the user, wherein the recommendation data is displayed with the account of the user on the purchasing guide website.