Time Series Modeling

Contact Center Demand Forecasting

Generate future call and interaction forecasts using Weighted Moving Average, linear trend modeling, and day-of-week seasonality weighting. Supports 100k+ historical row CSV streaming via Web Workers.

Historical Data Source

History rows (0 periods):

Period / Date	Volume

Model Parameters

Algorithm

Lookback Window

periods

Forecast Horizon

periods

Day Seasonality

Apply indices

Growth / Campaign

Assumed Handle Time (AHT) 180s

seconds

Used when transferring forecast into Capacity Planning

Historical Volume

-- periods

Hist. Avg / Period

Baseline rate

Forecasted Total
--
-- future periods

Forecast Avg / Period

0% vs baseline

Peak Forecast Period

Highest demand

Historical Actuals vs. Projected Forecast

History Forecast

Forecast Breakdown Table (0 periods)

Future Period	Base Model	Trend Component	Seasonality Index	Projected Volume	Est. Erlangs (A)