ONLINE AUCTION ANALYSIS AND RECOMMENDATION TOOL

• US 20080147566A1
• Filed: 12/18/2006
• Published: 06/19/2008
• Est. Priority Date: 12/18/2006
• Status: Abandoned Application

• Current Assignee: AT&T Intellectual Property I LP (AT&T, Inc.)
• Original Assignee: Bellsouth Intellectual Property Corporation (AT&T, Inc.)
• Inventors: Malik, Dale
• Application Number:
  US11/612,106
• Publication Number:
  US 20080147566A1
• Time in Patent Office: Days
• US Class Current: 705/36R
• CPC Class Codes: G06F 16/904 Browsing; Visualisation therefor for navigating the web G06F16/954; browsing optimisation for the web G06F16/957
• CPC Class Codes: G06Q 30/08 Auctions
• CPC Class Codes: G06Q 40/06 Asset management; Financial planning or analysis

Abstract

In a computer system, online auction data is retrieved by an auction analysis application program to generate recommendations for buying and selling auction items to auction participants. The auction participants may be either auction buyers or auction sellers. Profile data and auction item historical data associated with one or more auction participants is collected at the computer system from an auction website over a communication network. An output is then generated based on the profile data and the auction item historical data. The output may include recommendations for an auction seller and an auction buyer which may be utilized to increase sales of an auction item and to obtain a lowest price for an auction item.

Claims

1. A method for providing at least one of an auction item analysis and auction participant recommendations utilizing auction parameter data, comprising:

retrieving participant profile data for an auction participant on a computer system;

retrieving a first plurality of parameters comprising sale information for an auction item associated with the auction participant on the computer system;

retrieving a second plurality of parameters comprising collective sale information for a plurality of auction participants associated with the auction item on the computer system; and

generating an output on the computer system based on the participant profile data, the first plurality of parameters, and the second plurality of parameters, the output comprising at least one auction decision recommendation associated with buying and selling the auction item in at least one online auction hosted by one or more auction websites.

2. The method of claim 1, wherein generating an output further comprises:

calculating a popularity index and an availability index associated with sales of the auction item over a predetermined period; and

displaying the output on a display device of the computer system.

3. The method of claim 1, wherein retrieving participant profile data for an auction participant comprises retrieving seller profile data.

4. The method of claim 1, wherein retrieving participant profile data for an auction participant comprises retrieving buyer profile data.

5. The method of claim 2, wherein generating an output further comprises:

automatically analyzing the popularity index and the availability index for the auction item over the predetermined period;

if the popularity index is low and the availability index is high, then generating an alert for the auction participant to bid on the auction item; and

if the popularity index is high and the availability index is low, then generating an alert for the auction participant to offer the auction item for sale.

6. The method of claim 2 further comprising tracking a number of viewers for the auction item on the auction website over the predetermined period.

7. The method of claim 6, wherein generating an output based on the participant profile data, the first plurality of parameters, and the second plurality of parameters comprises calculating a weighted ratio based at least on a number of bidders for the auction item and the tracked number of viewers for the auction item on the auction website over the predetermined period.

8. The method of claim 1, wherein generating an output further comprises generating at least one of a suggested starting sale price, an anticipated sale price, an optimum sale window, and a suggested sale period.

9. The method of claim 1, wherein generating an output further comprises generating at least one of a suggested buying period and a suggested starting bid amount.

10. The method of claim 2, wherein retrieving a first plurality of parameters comprising sale information for an auction item associated with the auction participant comprises retrieving, over the predetermined period, at least one of a total number of bidders, a total number of bids, a bid threshold, a price interval, an auction duration, and an ending time and date associated with an auction.

11. The method of claim 2, wherein retrieving a second plurality of parameters comprising collective sale information for a plurality of auction participants associated with the auction item comprises retrieving, over the predetermined period, at least one of a total number of the auction item sold and a total number of the auction item which went unsold.

12. A computer-readable medium containing computer-executable instructions, which, when executed on a computer, will cause the computer to perform a method of providing at least one of an auction item analysis and auction participant recommendations utilizing auction parameter data, the method comprising:

retrieving participant profile data for an auction participant;

retrieving a first plurality of parameters comprising sale information for an auction item associated with the auction participant;

retrieving a second plurality of parameters comprising collective sale information for a plurality of auction participants associated with the auction item;

tracking a number of viewers for the auction item over a predetermined period;

generating an output based on the participant profile data, the first plurality of parameters, and the second plurality of parameters, the output comprising a popularity index and an availability index associated with sales of the auction item over the predetermined period and at least one recommendation associated with buying and selling the auction item in at least one online auction hosted by one or more auction websites; and

displaying the output on a display device of the computer.

13. The computer-readable medium of claim 12, wherein retrieving participant profile data for an auction participant comprises retrieving seller profile data, the seller profile data comprising an inventory of the auction item.

14. The computer-readable medium of claim 12, wherein retrieving participant profile data for an auction participant comprises retrieving buyer profile data, the buyer profile data comprising a list of auction items desired for purchase by a buyer.

15. The computer-readable medium of claim 12, wherein generating an output further comprises:

automatically analyzing the popularity index and the availability index for the auction item over the predetermined period;

if the popularity index is low and the availability index is high, then generating an alert for the auction participant to bid on the auction item; and

if the popularity index is high and the availability index is low, then generating an alert for the auction participant to offer the auction item for sale.

16. A method for utilizing auction parameter data to generate alerts for making an auction item transaction, comprising:

receiving the auction parameter data on a computer system, the auction parameter data associated with sales of the auction item over a predetermined period in at least one online auction hosted by one or more auction websites; and

in response to receiving the auction parameter data on the computer system, generating an alert for making a transaction with respect to the auction item.

17. The method of claim 16, wherein generating an alert for making a transaction with respect to the auction item comprises generating at least one of a bid alert and a sell alert for the auction item.

18. The method of claim 17, wherein generating at least one of a bid alert and a sell alert for the auction item comprises:

calculating a popularity index for the auction item based on the auction parameter data;

calculating an availability index for the auction item based on the auction parameter data; and

analyzing the popularity index and the availability index for the auction item over the predetermined period.

19. The method of claim 18 further comprising determining if the popularity index is low and the availability index is high and, if so, then generating the bid alert, the bid alert comprising a recommendation for an auction participant to bid on the auction item.

20. The method of claim 18 further comprising determining if the popularity index is high and the availability index is low and, if so, then generating the sell alert, the sell alert comprising a recommendation for the auction participant to offer the auction item for sale.