IP Library Granted Patent US 9,092,813
Granted Patent B2
US 9,092,813 · App. 13/798,788 · Granted Jul 28, 2015

Method and system for reserving future purchases of goods and services

Inventors: Christian S. Pappas (Chicago, IL); Charles P. Brown (Chicago, IL)
Assignee: Smart Options, LLC
G06Q30/0601G06Q10/00G06Q30/0222G06Q30/0225G06Q30/0613G06Q40/00G06Q40/04G06Q50/10Y10S707/99931
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Quick Facts
Patent No.
US 9,092,813
App. No.
13/798,788
Granted
Jul 28, 2015
Kind
B2
Abstract

A method and system for reserving future purchases of goods or services or events. Electronic options are provided for desired goods or services or events. Electronic option terms and electronic option fees for the plural electronic options are dynamically and periodically adjusted in real-time. This provides optimal electronic option use and optimal electronic term and optimal electronic option fee adjustment for plural different suppliers of good or services or events provided and used with electronic options.

Claims (43)

1. A method for using electronic options for goods or services or events or places, comprising:

dynamically generating a plurality of electronic options for goods or services or events from a server application on a server network device with one or more processors, wherein the plurality of electronic options are not supplied or governed via a central government agency and are not supplied or governed via security laws;

dynamically generating from the server application on the server network device a plurality of different electronic option terms for the plurality of electronic options for a plurality of different suppliers, wherein the electronic option terms for a desired supplier are unique to the desired supplier and wherein the electronic option terms are dynamically generated based on associations between the goods or services or events and other information about similar goods or services and events obtained from one or more third-party sites on a communications network;

dynamically generating from the server application on the server network device a plurality of electronic option fees to purchase the plurality of electronic option fees on the server application on the server network device, wherein the plurality of option fees are dynamically generated based on market trends, anticipated or actual changes in costs of the goods or services or events, anticipated or actual capacity or inventory, anticipated or actual demand or introduction of new or similar goods or services or events;

dynamically displaying the plurality of electronic options for the goods or services or events on a plurality of client applications on a plurality client network devices each with one or more processors from the server application on the server network device with one or more processors via the communications network;

dynamically and periodically collecting electronic data from the server application on the server network device the one or more third-party sites via the communications network;

dynamically entering the collected electronic data into one or more predictive electronic option models to create adjusted electronic option terms or adjusted electronic option fees for the goods or services or events; and

dynamically adjusting in real-time from the server application on the server network device via the communications network display of one or more of the plurality of electronic option terms or one or more of the plurality of electronic option fees for the goods or services or event on the plurality of client applications on the plurality of client network devices, thereby providing optimal electronic option terms and optimal electronic option fees for the plurality of different suppliers of the goods or services or events.

2. The method of claim 1 wherein the predictive electronic option models include predictive models based on understanding of a behavior, or anticipated behavior, of individual buyer or groups of buyer or sub-groups of buyers for desired goods or services or events.

3. The method of claim 1 wherein the predictive electronic option models include predictive buying models comprising data mining, analysis and extrapolation using game theory, rules of inference and regression.

4. The method of claim 1 wherein the step of displaying the plurality of electronic options for the goods or services or events on a plurality of client applications on a plurality client network devices provide electronic options for business-to-consumer (b2c) transactions.

5. The method of claim 1 further comprising:

displaying the plurality of electronic options for the goods or services or events on a plurality of other server applications on a plurality of other server network devices each with one or more processors from the server application on the server network device via the communications network; and

dynamically adjusting in real-time from the server application on the server network device via the communications network display of one or more of the plurality of electronic option terms or one or more of the plurality of electronic option fees for the goods or services or event on the plurality of other server applications on the plurality of other network devices, thereby providing optimal electronic option terms and optimal electronic option fees for the plurality of different suppliers.

6. The method of claim 5 wherein the step of displaying the plurality of electronic options for the goods or services or events on the plurality of other server applications on the plurality server network devices provide electronic options for business-to-business (b2b) transactions.

7. The method of claim 1 wherein the plurality of client applications on the plurality of client network devices includes a plurality of smart software applications for smart phone or electronic tablet client network devices.

8. The method of claim 1 wherein the plurality of client network devices and the server network device include a wireless networking interface comprising a Worldwide Interoperability for Microwave Access (WiMax) wireless networking interface with 4 th generation (4G) wireless speeds and wireless protocols for communicating with the communications network.

9. The method of claim 1 wherein the plurality of client network devices and the server network device include a wireless networking interface comprising a near field communications (NFC) or machine-to-machine (M2M) communications wireless networking interface.

10. The method of claim 1 wherein the plurality of electronic options are provided by the server network device via the communications network via television services, Internet television services, social networking services, general search engine services and vertical search engine services.

11. The method of claim 1 wherein the electronic option includes a personalized electronic coupon or a personalized electronic reservation.

12. The method of claim 1 wherein the step of dynamically displaying includes dynamically displaying the plurality of electronic options for the goods or services or events on one or more retail sites, social networking sites or social couponing sites.

13. The method of claim 1 further comprising:

including electronic options in an inventory management strategy of a desired supplier; and

using electronic options for high inventory, low demand items and de-emphasizing or eliminating electronic options on low inventory, high demand items for a good or service of event provided by the desired supplier.

14. A non-transitory computer readable medium having stored therein a plurality of instructions for causing one or more processors on one or more network devices to execute the steps of:

dynamically generating a plurality of electronic options for goods or services or events from a server application on a server network device with one or more processors, wherein the plurality of electronic options are not supplied or governed via a central government agency and are not supplied or governed via security laws;

dynamically generating from the server application on the server network device a plurality of different electronic option terms for the plurality of electronic options for a plurality of different suppliers, wherein the electronic option terms for a desired supplier are unique to the desired supplier and wherein the electronic option terms are dynamically generated based on associations between the goods or services or events and other information about similar goods or services and events obtained from one or more third-party sites on a communications network;

dynamically generating from the server application on the server network device a plurality of electronic option fees to purchase the plurality of electronic option fees on the server application on the server network device, wherein the plurality of option fees are dynamically generated based on market trends, anticipated or actual changes in costs of the goods or services or events, anticipated or actual capacity or inventory, anticipated or actual demand or introduction of new or similar goods or services or events;

dynamically displaying the plurality of electronic options for the goods or services or events on a plurality of client applications on a plurality client network devices each with one or more processors from the server application on the server network device via the communications network;

dynamically and periodically collecting electronic data from the server application on the server network device the one or more third-party sites via the communications network;

dynamically entering the collected electronic data into one or more predictive electronic option models to create adjusted electronic option terms or adjusted electronic option fees for the goods or services or events; and

dynamically adjusting in real-time from the server application on the server network device via the communications network display of one or more of the plurality of electronic option terms or one or more of the plurality of electronic option fees for the goods or services or event on the plurality of client applications on the plurality of client network devices, thereby providing optimal electronic option terms and optimal electronic option fees for the plurality of different suppliers of the goods or services or events.

15. A system for using electronic options for goods or services or events comprising in combination:

a communications network;

a plurality client network devices each with one or more processors;

a non-transitory computer readable medium on a server network device with one or more processors including a plurality of instructions for:

for dynamically generating a plurality of electronic options for goods or services or events from a server application on a server network device with one or more processors, wherein the plurality of electronic options are not supplied or governed via a central government agency and are not supplied or governed via security laws;

for dynamically generating from the server application on the server network device a plurality of different electronic option terms for the plurality of electronic options for a plurality of different suppliers, wherein the electronic option terms for a desired supplier are unique to the desired supplier and wherein the electronic option terms are dynamically generated based on associations between the goods or services or events and other information about similar goods or services and events obtained from one or more third-party sites on the communications network;

for dynamically generating from the server application on the server network device a plurality of electronic option fees to purchase the plurality of electronic option fees on the server application on the server network device, wherein the plurality of option fees are dynamically generated based on market trends, anticipated or actual changes in costs of the goods or services or events, anticipated or actual capacity or inventory, anticipated or actual demand or introduction of new or similar goods or services or events;

for displaying the plurality of electronic options for the goods or services or events on a plurality of client applications on the plurality client network devices each with one or more processors from the server application on the server network device with one or more processors via the communications network;

for dynamically and periodically collecting electronic data from the server application on the server network device the one or more third-party sites via the communications network;

for dynamically entering the collected electronic data into one or more predictive electronic option models to create adjusted electronic option terms or adjusted electronic option fees for the goods or services or events; and

for dynamically adjusting in real-time from the server application on the server network device via the communications network display of one or more of the plurality of electronic option terms or one or more of the plurality of electronic option fees for the goods or services or event on the plurality of client applications on the plurality of client network devices, thereby providing optimal electronic option terms and optimal electronic option fees for the plurality of different suppliers of the goods or services or events.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 30, 2018
From: SMART OPTIONS LLC
To: HOLDIT, LLC
Reel/Frame 046752/0004 →
Continuity (11)
Continuation In Part 13737164 · Jan 9, 2013
Continuation In Part 13549751 · Jul 16, 2012
Continuation 13251826 · Oct 3, 2011
Continuation 12970165 · Dec 16, 2010
Continuation 11805564 · May 23, 2007
Division 09566671 · May 8, 2000
Division 13798788
Continuation In Part 13158528 · Jun 13, 2011
Continuation In Part 12005129 · Dec 21, 2007
Continuation In Part 09566671 · May 8, 2000
Related Publication 20130191224A1 · Jul 25, 2013