Method and system for centralized generation of a business executable using genetic algorithms and rules distributed among multiple hardware devices

a technology of genetic algorithms and business executables, applied in the field of method and system for generating and selecting executables in a business system, can solve the problems of ai system making undesirable offers, adding to the cost of operating a rules-based system,

Inactive Publication Date: 2008-08-28
RETAILDNA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

[0017]These and other objects and advantages of the present invention will be readily appreciable from the f

Problems solved by technology

For example, a rules based system requires upkeep by a system administrator, adding to the cost of operating a rules

Method used

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  • Method and system for centralized generation of a business executable using genetic algorithms and rules distributed among multiple hardware devices
  • Method and system for centralized generation of a business executable using genetic algorithms and rules distributed among multiple hardware devices
  • Method and system for centralized generation of a business executable using genetic algorithms and rules distributed among multiple hardware devices

Examples

Experimental program
Comparison scheme
Effect test

example 1

[0222]A central component (computer 706) has been generating offers (716) for a retailer (associated with location 724) of washing machines. The retailer transmits a rule (718) to offer 10% off of a washing machine purchase to WCDs in a geographic region, which have not been registered as having purchased a washing machine from the retailer in the last 12 months. The central system generates a list of WCDs in that geographic region, excludes WCDs identified by the retailer, and outputs an offer (728) to the remaining WCDs. If the offer is accepted, directions are provided to the retailer on the WCD, and the retailer POS is updated with WCDs that have accepted the offer.

example 2

[0223]A central component (computer 706) has been generating offers (716) for a quick serve restaurant (associated with location 724). The restaurant places a request (rule 718) to transmit a specific type of offer to all WCDs within a 5 mile radius of the store from 1 PM to 5 PM Monday through Friday. The retailer specifies that each WCD cannot receive more than 5 offers in a row that are declined. The central system generates the order offers (728) as specified by the restaurant. In addition at least one WCD (730) has logged into the central system and set up a set of preferences / rules (765) for receiving offers. For example: only receive offers on Wednesdays; and do not receive an offer more than 2 times in a row if the offer is declined both times. A list of WCDs is generated and appropriate offers (728) are sent to each WCD. The offers are implemented according to rules (765) for the WCD. When an offer is accepted, the specific type of order is added to the transaction queue of...

example 3

[0224]A retailer of mattresses (associated with location 724) places a request to offer one mattress free if a customer purchases two mattresses. The retailer identifies the condition set (718) that the offers are made to WCDs (730) within a ½ mile radius of the store that have conducting a search on mattresses using the WCD search engine or that have called one or more mattress supplier phone numbers within the last five days. Offers are output to WCDs in real time as they satisfy the conditions of the offer. When WCDs enter the store that have an offer stored on them or associated with them, that offer is transmitted from the WCD to the POS of the store during the transaction to purchase the mattress.

[0225]The following is a listing of exemplary hardware and software applicable to the present invention. It should be understood that a present invention method or system is not limited to any or all of the hardware or software shown and that other hardware and software are included i...

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PUM

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Abstract

A system for generation of business executables using artificial intelligence or rules distributed among multiple hardware devices, including: a memory element of a specially programmed general-purpose computer storing a first rule or an artificial intelligence (AI) program; a generating element, in a processor for the specially programmed computer, arranged to generate at an executable using at least one of the first rule or the AI program; an interface element of the specially programmed computer, arranged to receive a second rule from a first wireless communications device (WCD), or from a general-purpose computer associated with a business entity and to store the second rule in the memory element; and a modifying element, in the processor, arranged to modify the executable using the second rule and to transmit, using the interface element, the modified executable to a wireless communications network for transmission to a second WCD.

Description

CROSS-REFERENCE TO RELATED APPLICATIONS[0001]This is a continuation-in-part patent application under 35 USC 120 of U.S. patent application Ser. No. 11 / 983,679, filed Nov. 9, 2007 and entitled “Method and System for Generating, Selecting, and Running Executables in a Business System Utilizing a Combination of User Defined Rules and Artificial Intelligence” which is a continuation-in-part patent application under 35 USC 120 of U.S. patent application Ser. No. 09 / 993,228, filed Nov. 14, 2001 and entitled “Method and apparatus for dynamic rule and / or offer generation,” which applications are incorporated herein by reference.[0002]This application is related to: U.S. patent application Ser. No. 09 / 052,093 entitled “Vending Machine Evaluation Network” and filed Mar. 31, 1998; U.S. patent application Ser. No. 09 / 083,483 entitled “Method and Apparatus for Selling an Aging Food Product” and filed May 22, 1998; U.S. patent application Ser. No. 09 / 282,747 entitled “Method and Apparatus for Pro...

Claims

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Application Information

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IPC IPC(8): G06N5/02
CPCG06N3/12G06N5/025G06Q40/12G06Q30/0273G06Q30/0224G06N3/126
Inventor LUCHENE, ANDREW VAN
Owner RETAILDNA
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