© 2007 Swave Corp. |
S-Wave Corp |
Increasing ATM Profits |
Products |
Accurate Forecasting |
Advanced, patent-pending forecasting algorithms take into account |
· Long term trend · Seasonal variations · Short-term variations · Special events · Abnormal events Separate model for each day of the week On-going model calibration to deal with sudden peaks and valleys in demand Algorithms minimize buffer or pad while achieving high confidence in load amount
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S-Wave uses sophisticated, proprietary mathematical models for representing withdrawal patterns at ATM. These models take into account long-term trends as well as seasonal and short-term variations. As the withdrawal pattern can be quite different for each day of the week, a separate model is built for each day of the week, giving S-Wave unparalleled accuracy. The models further take into account the special events in the area where ATMs are located. The models are automatically built by analyzing daily withdrawal data and kept true by calibrating against the actual past withdrawals.
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