System and Method for Integrating on Demand/Pull and Push Flow of Goods-and-Services Meta-Data, Including Coupon and Advertising, with Mobile and Wireless Applications

• US 20090055436A1
• Filed: 01/25/2008
• Published: 02/26/2009
• Est. Priority Date: 08/20/2007
• Status: Abandoned Application

• Current Assignee: Olakunle Olaniyi Ayeni
• Original Assignee: Olakunle Olaniyi Ayeni
• Inventors: Ayeni, Olakunle Olaniyi
• Application Number:
  US12/019,979
• Publication Number:
  US 20090055436A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising

Abstract

The invention is a system and method, embodied in infrastructure platforms, that implements the suitable means of generating, storing, manipulating, distributing and utilizing marketing and sales oriented metadata that can be associated with goods and services offerings. It uniformly treats coupons, ads and similar marketing and sales information products as metadata about goods and services. It makes provisions for the goods and services metadata to be delivered via wireless technologies and devices. It allows consumers to trade or barter coupons and other metadata, according to individual needs, via an intermediary exchange or clearinghouse. It supports graded coupons and similar metadata, by allowing the redeemable value of such a coupon to be correlated with age. It supports the specialization, customization and personalization of the metadata and its redeemable value to be correlated with the roles, aspects and concerns of both producers and consumers of goods and services metadata.

Claims

1. A system for integrating pull and push flow of goods and services metadata, the system comprising:

a plurality of goods and services metadata producers;

an intermediary adapter that receives metadata from metadata producers, matches the metadata to consumer preferences, and transmits the preferred metadata to one or more consumer devices;

a plurality of consumer devices that provides consumers preferences for metadata to and receives metadata from the intermediary adaptor;

a financial software application that receives a financial transaction and then transmits a transaction-in-progress signal to the intermediary adaptor to send metadata to the consumer based on the financial transaction; and

a plurality of delivery mechanisms that deliver metadata between metadata producers and the intermediary adaptor and between the intermediary adapter and one or more consumer devices.

2. A system according to claim 1, wherein the goods and services metadata producers create, generate, aggregate, package, and transmit metadata to an intermediary adapter.

3. A system according to claim 1, wherein the intermediary adapter comprises:

a plurality of metadata depositories that store metadata based on consumer preferences; and

manipulation software applications performing functions on the stored metadata in the metadata depositories.

4. A system according to claim 3, wherein the metadata depositories are at least one from the group consisting of metadata push depository, Inter-switch Blackboard, pull depository, banks, bases, caches, buffers, queues, stacks, storage, memory, blackboards, and clearinghouses.

5. A system according to claim 3, wherein the manipulation software application performs at least one of the functions from the group consisting of filtering, sorting, ranking, tagging, repackaging, consolidation, re-clustering, encapsulation, segmentation, decomposition, mutation, modification, personalization, and customization.

6. A system according to claim 1, wherein a plurality of consumer devices receive metadata from the intermediary adaptor;

and use the metadata in purchasing decisions, choices and transactions.

7. A system according to claim 1, wherein metadata is at least one from the group consisting of coupons, advertisements, coupon-ad hybrids, discounts, rebates, rewards, incentives, gift cards, points, tokens, deals, promotions, samples, updates, alerts, announcements, notices, notes, labels, special offers, inducements, options, totems, logos, brands, brand names, icons, symbols, value cards, money cards, debit cards, savings, privileges, access, rights, authorizations, licenses, tickets, tags, promises, credits, permission, and validations.

8. A system according to claim 1, wherein an intermediary adaptor:

matches metadata from the metadata producers to the transaction-in progress-signal, sent by the financial software application; and

transmits metadata to the consumer device.

9. A system according to claim 1, wherein a delivery mechanism is at least one from the group consisting of a voice network, wireless network, Internet, local area network, wide area network, a metropolitan area network. Short code, keyword value pairs, bar code, portable bar code, mobile bar code, RFID tag formats (EPC), fax, fax mail, phone calls, voice calls, e-mail, wireless access protocol, instant messaging, mobile websites, pages and documents, text messaging, SMS, and multimedia messaging.

10. A system according to claim 4, wherein:

the push depository receives metadata, re-processes the metadata using software applications, and stores copies of the reprocessed metadata in the Inter-switch Blackboard;

the Inter-switch-Blackboard places the reprocessed metadata into the pull depository;

the pull depository implements algorithms to transmit the reprocessed metadata to one or more consumer devices.

11. A system according to claim 10, wherein the reprocessing software applications are at least one from the group software applications that filter, specialize, re-package, re-bundle, encapsulate, reformat, format convert, classify, abstract data type, vector code, tag, and structure metadata.

12. A system according to claim 10, wherein the algorithms implemented by the pull depository are Hidden Markov Models, or Artificial Neural Networks.

13. A system according to claim 1, further comprising a processor that barters metadata between a plurality of consumer devices.

14. A system according to claim 1, wherein the intermediary adapter matches metadata from metadata producers to metadata consumer devices by analyzing and matching producer and consumer preferences according to a Trickle Push algorithm.

15. A method for integrating pull and push flow of goods and services metadata, the method comprising:

producing metadata by metadata producers;

receiving metadata by a push depository of an intermediary adapter; and

reprocessing metadata by a push depository of an intermediary adapter; and

storing copies of the reprocessed data from the push depository to a pull depository of the intermediary adapter by an Inter-switch Blackboard of the intermediary adapter;

delivering metadata by the pull depository of the intermediary adapter through a plurality of delivery mechanisms.

16. The method according to claim 15, wherein the action of reprocessing metadata is at least one from the group consisting of filtering, specializing, re-packaging, re-bundling, encapsulating, reformatting, format converting, classifying, abstract data typing, vector coding, tagging, and structuring.

17. A method according to claim 15, wherein the algorithms to deliver metadata by the pull depository are implemented by Hidden Markov Models, or Artificial Neural Networks.

18. A method according to claim 15, further comprising:

transmitting to the intermediary adaptor a transaction in-progress signal using a financial software application;

matches metadata from the metadata producers to the transaction-in progress-signal, sent by the financial software application; and

transmits metadata to the consumer device.

19. A method according to claim 15, further comprising bartering metadata between a plurality of consumer devices.

20. A method according to claim 15, further comprising analyzing metadata producer and consumer preferences according to a Trickle Push access algorithm;

and delivering metadata to consumer devices based on