RFID system for predictive product purchase date evaluation

• US 20070050305A1
• Filed: 01/04/2006
• Published: 03/01/2007
• Est. Priority Date: 08/25/2005
• Status: Abandoned Application

• Current Assignee: Elliot Klein
• Original Assignee: Elliot Klein
• Inventors: Klein, Elliot
• Application Number:
  US11/306,594
• Publication Number:
  US 20070050305A1
• Time in Patent Office: Days
• US Class Current: 705/67
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 20/3674 involving authentication

Abstract

Operating parameters and potentially related event dates are gathered from end users of computer systems and fed into a predictive model to generate post-sale predictions of purchase date when a product is presented from end users and fed into the prediction model. Products may be accepted for service, repair, return, and exchange based on predictions of purchase date reported by the system with an associated confidence level.

Claims

1. A computerized system and method for establishing consumer purchase date for a specific product or its packaging carton based on operating parameters recorded in the Electronic Product Code Network (“

EPC Network”

);

whenever an item-specific printed sales purchase receipt, or electronic local transaction purchase database date verification record, is unavailable for physical presentation by a customer or computerized look up at a retail store, repair service or product exchange location.

2. The method of claim 1 comprising:

receiving data from plural first user computer systems, the data representing at least one operating date and physical location data event parameter of at least a portion of the first user computer systems;

using the information regarding the date and location data of the first user computer systems, establishing at least one predictive model;

receiving data from at least one second user computer system; and

using a predictive model to generate a purchase date range prediction parameter, based on the data there from.

3. The method of claim 2, comprising a method performed by a computer system that tracks items in the supply chain from their manufacture to retail sale to end customers;

the method comprising;

receiving from one or more EPC tag reading events relating to one or more EPC tagged items, each event including a unique RFID tag identifier for a tag attached to an a product, carton or pallet;

each event being an event that was recorded to the event database of the Electronic Product Code (“

EPC”

) Network.

4. The method of claim 2, comprising receiving post purchase from a customer, at least one return product for the second user computer system to initiate a purchase dates queries.

5. The method of claim 2, comprising establishing at least one sales activity event related to the first user computer system based at least in part on the prediction.

6. The method of claim 2, wherein the operating parameter is selected from the group of date and location event parameters consisting of:

date of product manufacturer, manufacturer shipping dates, transportation dates, retail store or distributor sales dates, warehouse receiving dates, inventory turn-over data, on-shelf placement dates, sales location and source data with specific retail store, catalog or online website address.

7. The method of claim 2, comprising providing at least one of:

the predictive model, and the prediction, to at least one user as a service.

8. The method of claim 2, comprising establishing purchase date estimation range for at least one user based at least in part on the user agreeing to provide data representing at least one operating parameter.

9. A general purpose computer system executing logic comprising:

receiving first data representing at least one computer system operating parameter and associated computer system event date and location;

generating at least one predictive model based on the first data;

receiving second data representing at least one computer system operating parameter;

inputting the second data to the predictive model; and

executing the predictive model to generate at least one prediction of a purchase date, or purchase date estimate range, and an associated confidence percentile level reported together with the predictive estimate date(s);

whenever an item-specific printed sales purchase receipt, or electronic local transaction purchase database date verification record, is unavailable for physical presentation by a customer or computerized look up at a retail store, repair or product exchange location.

10. The system of claim 9, wherein the operating parameter is selected from the group of parameters consisting of:

date of product manufacturer, manufacturer shipping dates, transportation dates, retail store or distributor sales dates, warehouse receiving dates, inventory turn-over data, on-shelf placement dates and, in-store sales data associating a specific product or group of related products.

11. The system of claim 10, wherein the operating parameter is received over the Internet.

12. A general purpose computer system comprising:

means for receiving first data representing at least one computer system operating parameter and associated computer system date and event data;

means for generating at least one predictive model based on the first data;

means for receiving second data representing at least one computer system operating parameter to read the EPC tag identifier associated with a purchased product, carton or pallet;

means for inputting the second data to the predictive model; and

means for executing the predictive model to generate at least one prediction of purchase date;

whenever an item-specific printed sales purchase receipt, or electronic local transaction purchase database date verification record, is unavailable for physical presentation by a customer or computerized look up at a retail store, repair or product exchange location.

13. The method of claim 12, wherein the EPC tag identifier is a radio-frequency identification (“

RFID”

) tag or label affixed to a product, carton or pallet.

14. A service, comprising:

providing a prediction of a purchase date for a product that has operating parameters recorded in a first computer system component associated with a first user based at least in part on correlating operating parameters composed of date and RFID reader event location event data from plural user computer systems with at least one operating parameter of the first computer system component.

15. The service of claim 14 comprising accepting for return at a retail store or post-purchase customer service location at least one purchased product associated with the first computer system based, at least in part, on the prediction.

16. The service of claim 14, comprising establishing at least one sales activity related to the first computer system component, based at least in part, on the prediction.

17. The service of claim 14, wherein the operating parameter is selected from the group of parameters consisting of:

date of product manufacturer, manufacturer shipping dates, transportation dates, retail store or distributor sales dates, warehouse receiving dates, inventory turn-over data, on-shelf placement dates and, in-store sales data associating a specific product or group of related products.

18. The service of claim 14, comprising providing at least one of:

the predictive model, and the prediction, reported to a second user computer system.

20. The service of claims 14-19 wherein the system, comprises:

a reporting system including one or more EPC tag readers;

one or more subscribers, including a system that tracks tagged items; and

one or more event date records, the event dates being separate from the reporting system, wherein;

the reporting system is operable to;

detect one or more of the tagged items;

generate an event, the event including a tag identifier, a reader location identifier, and a read date; and

publish the event to one or more of the event records;

the system for tracking tagged items is operable to;

subscribe to receive data from one or more of the event date reading events relating to one or more of the tagged items; and

upon receiving events, apply the received events to predicatively estimate information for one or more of the tagged items; and

each event date is operable to;

predict the purchase date;

receive events from the reporting system; and

report the estimated purchase date with an associated statistical percentile confidence level to an end user through a computer display screen or computerized message reporting system using the Internet to report results by computerized means, including but not limited to, in-store sales authorization and point-of-purchase cash register terminal devices.

19. A service, comprising:

generating a prediction of a purchase date of at least a first computer system component associated with a first user based at least in part on correlating operating parameters and date and ERPC/RFID reader event location data from plural user computer systems with at least one operating parameter of the first computer system component; and

providing at least one service to the first user selected from the group of services consisting of;

accepting for return at least one purchased product based at least in part on the prediction; and

establishing at least one sales activity related to the first computer system component based at least in part on the prediction;

whenever an item-specific printed sales purchase receipt, or electronic local transaction purchase database date verification record, is unavailable for physical presentation by a customer or computerized look up at a retail store, repair or product exchange location.