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.

Abstract: Timely projections of product sales for a reporting time period are obtained by combining actual sales data received from reporting stores and estimated sales data for non-reporting stores. The projections are adjusted to account for trailing data, which may be reported after the end of the subject time period.

Abstract: Systems and methods for product level projections of pharmacy prescriptions within product therapy classes are provided. Average wholesale dollar sales amounts are obtained or estimated at channel/outlet/product-therapy levels. All of the average wholesale dollar sales amounts are converted to prescription data at channel/outlet/product-therapy levels using a correlation function. The correlation function is derived by correlating samples of total prescription data where available with corresponding average wholesale dollar sales amounts.

Abstract: 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.

Abstract: Projection factors are used to project product sales data from sample retail outlets to the universe of outlets. Weekly forecasts of market conditions and product demand are generated based on the projected product sales data. The projection factors and the weekly forecasts are updated during the course of the forecasted week, for example, daily, as data on actual product sales during the forecasted week is received.

Abstract: Prescriptions are imputed or allocated to a non-reporting sample outlet in a universe of outlets that generally report prescription data to a database. Prescriptions are imputed or allocated based on the outlet's recent prescription or physician distribution. Prescription allocations to an outlet for a particular product in a product group are proportional to the ratio of the recent prescriptions for that particular product and for the product group.