System And Method For Allocating Prescriptions To Non-Reporting Outlets
A method for predicting market information for a plurality of pharmaceutical outlets includes 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, computing a product-level projection factor for the at least one pharmaceutical product and using the product-level projection factor to estimate the unreported amount of prescriptions.
1 - 7 . (canceled)
8 . A method for predicting market information for a plurality of pharmaceutical outlets, the method being executed on a processing arrangement comprising 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.
9 . The method of claim 1 , further comprising:
receiving second data representing purchases and sales of products from the at least one pharmaceutical outlet; and
applying the product-level projection factor to the second data.
10 . The method of claim 8 , wherein the first data includes trailing data.
11 . The method of claim 8 , wherein the first data includes back data.
12 . The method of claim 8 , further comprising:
applying a trailing data factor to the purchases and sales data to account for old data.
13 . A system for predicting market information for a plurality of pharmaceutical outlets, the system comprising a processing arrangement configured 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.
14 . The system of claim 13 , further comprising:
receiving second data representing purchases and sales of products from the at least one pharmaceutical outlet; and
applying the product-level projection factor to the second data.
15 . The system of claim 13 , wherein the first data includes trailing data.
16 . The system of claim 13 , wherein the first data includes back data.
17 . The system of claim 13 , further comprising:
applying a trailing data factor to the purchases and sales data to account for old data.
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 computer readable medium of claim 18 , further comprising:
receiving second data representing purchases and sales of products from the at least one pharmaceutical outlet; and
applying the product-level projection factor to the second data.
20 . The computer readable medium of claim 18 , wherein the first data includes trailing data.
21 . The computer readable medium of claim 18 , wherein the first data includes back data.
22 . The computer readable medium of claim 18 , further comprising:
applying a trailing data factor to the purchases and sales data to account for old data.