Patent ID: 9747560
Date: 2017-08-29
CPC Classifications: G06Q

Claim:
1. A method comprising: extracting, in a computer, first demand data from a first forecast demand data stream, wherein the first demand data stream is of a first type; extracting, in the computer, second demand data from a second forecast demand data stream, wherein the second demand data stream is of a second type different from the first type and wherein both demand data streams apply to a same source of demand; storing the extracted first demand data and the extracted second demand data in a database of a data warehouse; at the computer, computing and storing parameters associated with an error measurement for the first demand data and for the second demand data at a demand combination info cube; determining correspondingly, by the computer, frequencies of data extraction for demand data combination from first demand data and second demand data; combining, in the computer, the first demand data and the second demand data based on at least one criteria associated with the stored parameters, to generate the demand combination info cube, wherein generating the demand combination info cube includes combining the first and second demand data based on: evaluating, by a rule engine, characteristics combinations of the first demand data and the second demand data by traversing conditions defined at nodes of a decision tree, wherein the conditions are associated with comparisons of forecast key figures defined in the first and second demand data for a time interval; calculating a resultant demand data set based on performing a sequence of demand combination activities, wherein the sequence of demand combination activities is determined during traversing the decision tree, and wherein the resultant demand data set is to be stored at the demand combination info cube; determining modified frequencies of data extraction based on the sequence of demand combination activities; and performing a modification, by the computer, of the frequencies of data extraction from the first demand data and the second demand data, based on the calculated resultant demand data set; and releasing the demand combination info cube for supply network planning.