Sample Store forecasting Process and System

• US 20090281828A1
• Filed: 04/09/2009
• Published: 11/12/2009
• Est. Priority Date: 01/22/2005
• Status: Abandoned Application

• Current Assignee: IMS Software Services Ltd. (IQVIA Holdings, Inc.)
• Original Assignee: IMS Software Services Ltd. (IQVIA Holdings, Inc.)
• Inventors: Copeland, Kewon, Wynne, Brian, Boardman, Chris
• Application Number:
  US12/421,571
• Publication Number:
  US 20090281828A1
• Time in Patent Office: Days
• US Class Current: 705/2
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0202 Market predictions or forecasting for commercial activities
• CPC Class Codes: G16H 20/10 relating to drugs or medications, e.g. for ensuring correct administration to patients

Abstract

A method and system of predicting market information includes the steps of receiving first data, forecasting further data based on the first data, receiving second data and comparing the further data with the second data, and creating an adjustment factor to account for any difference between the further data and the second data.

Claims

1-12. -12. (canceled)

13. A method for predicting market information for a plurality of pharmaceutical outlets, the method being executed on a processing arrangement comprising the steps of:

receiving first data representing purchases and sales of at least one pharmaceutical product from at least one pharmaceutical outlet over a time period in the past;

calculating the amount of prescriptions that are not reported in a timely manner at a product-level; and

computing a product-level projection factor for the at least one pharmaceutical product.

15. The method of claim 13, wherein the product level is identified by an appropriate CMF descriptor.

16. The method of claim 13, wherein a trailing data factor is calculated from the amount of prescriptions that are not reported in a timely manner.

17. The method of claim 16, wherein computing a product-level projection factor is based at least in part on the trailing data factor.

14. (canceled)

18. A computer-readable medium for predicting market information for a plurality of pharmaceutical outlets, the computer-readable medium having a set of instructions operable to direct a processing system to perform the steps comprising:

receiving first data representing purchases and sales of at least one pharmaceutical product from at least one pharmaceutical outlet over a time period in the past;

calculating the amount of prescriptions that are not reported in a timely manner at a product-level; and

computing a product-level projection factor for the at least one pharmaceutical product.

19. The method of claim 18, wherein the product level is identified by an appropriate CMF descriptor.

20. The method of claim 18, wherein a trailing data factor is calculated from the amount of prescriptions that are not reported in a timely manner.

21. The method of claim 20, wherein computing a product-level projection factor is based at least in part on the trailing data factor.

22. A system for predicting market information for a plurality of pharmaceutical outlets, the system comprising a processing arrangement configured to perform the steps comprising:

receive first data representing purchases and sales of at least one pharmaceutical product from at least one pharmaceutical outlet over a time period in the past;

calculate the amount of prescriptions that are not reported in a timely manner at a product-level; and

compute a product-level projection factor for the at least one pharmaceutical product.

23. The method of claim 22, wherein the product level is identified by an appropriate CMF descriptor.

24. The method of claim 22, wherein a trailing data factor is calculated from the amount of prescriptions that are not reported in a timely manner.

25. The method of claim 24, wherein computing a product-level projection factor is based at least in part on the trailing data factor.