ADJUSTING A POINT PREDICTION THAT IS PART OF THE LONG-TERM PRODUCT LIFE CYCLE BASED FORECAST

摘要

Illustrated is a system and method for modeling and predicting call center service calls to plan staffing needs based upon historical call center volume data and product life cycle data for the product being serviced by the call center. It includes identifying adjusted historical monthly call volume data. Additionally, the system and method includes transforming the adjusted historical monthly call volume data, using a forecasting algorithm, into a long-term trend and season effect forecast. Further, the system and method includes transforming the adjusted historical monthly call volume data, using a regression algorithm, into a long-term product life cycle based forecast. Additionally, the system and method includes adjusting a point prediction, based on the long-term product life cycle based forecast to create a long-term adjusted monthly forecast, the point prediction adjusted where it exceeds a data point in a bound forecast generated from the long-term trend and season effect forecast.