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Correlation Systems > Products > Demand Prediction Engine

Demand Prediction Engine

Demand Prediction Engine (DPE)

Demand prediction engine is a software engine that is able to predict the future demand for services over different geographic areas.

The engine learns the activity patters and the historical uses of the service over time, perform cross correlation of this activity with different time schedules in order to extract the correlation between the time and the demand and provide an estimation for the future demand for the service in the various dates and times including the associated variance for such estimation.

Main specification:

Input:

Events with geo reference:
Points (GPS)
Cycles
Ellipses
Polygons
Polygons with inner polygons
Location names

List of areas for demand predictions:
Polygons
Location names

Output

List of locations or routes with associate:

Dates
Time
Estimated demand
Estimated demand standard deviation

Optional input:

Exclude list of location
Exclude list of dates

Coordination Systems

WGS-84
Metric
User defined

OS Support

Windows XP / Server / Vista
Linux

Performance

Less than 1 second processing time for 1000 events for up to 50,000 events.

Deployment

Stand alone server as on-line service.