Call Forecasting for Inbound Call Center
In a scenario of inbound call center customer service, the ability to forecast calls is a key element and advantage. By forecasting the correct number of calls a company can predict staffing needs, meet service level requirements, improve customer satisfaction, and benefit from many other optimizati...
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2009-01-01
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doaj-2c3e7a5b8445478ebae00f7dbe7c1c6e2020-11-24T22:02:31ZengUniversity of South FloridaUndergraduate Journal of Mathematical Modeling: One + Two2326-36522009-01-012110.5038/2326-3652.2.1.7Call Forecasting for Inbound Call CenterPeter VinjeIn a scenario of inbound call center customer service, the ability to forecast calls is a key element and advantage. By forecasting the correct number of calls a company can predict staffing needs, meet service level requirements, improve customer satisfaction, and benefit from many other optimizations. This project will show how elementary statistics can be used to predict calls for a specific company, forecast the rate at which calls are increasing/decreasing, and determine if the calls may stop at some point.http://scholarcommons.usf.edu/ujmm/vol2/iss1/7Call Forecasting, Linear Regression, Extrapolation |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Peter Vinje |
spellingShingle |
Peter Vinje Call Forecasting for Inbound Call Center Undergraduate Journal of Mathematical Modeling: One + Two Call Forecasting, Linear Regression, Extrapolation |
author_facet |
Peter Vinje |
author_sort |
Peter Vinje |
title |
Call Forecasting for Inbound Call Center |
title_short |
Call Forecasting for Inbound Call Center |
title_full |
Call Forecasting for Inbound Call Center |
title_fullStr |
Call Forecasting for Inbound Call Center |
title_full_unstemmed |
Call Forecasting for Inbound Call Center |
title_sort |
call forecasting for inbound call center |
publisher |
University of South Florida |
series |
Undergraduate Journal of Mathematical Modeling: One + Two |
issn |
2326-3652 |
publishDate |
2009-01-01 |
description |
In a scenario of inbound call center customer service, the ability to forecast calls is a key element and advantage. By forecasting the correct number of calls a company can predict staffing needs, meet service level requirements, improve customer satisfaction, and benefit from many other optimizations. This project will show how elementary statistics can be used to predict calls for a specific company, forecast the rate at which calls are increasing/decreasing, and determine if the calls may stop at some point. |
topic |
Call Forecasting, Linear Regression, Extrapolation |
url |
http://scholarcommons.usf.edu/ujmm/vol2/iss1/7 |
work_keys_str_mv |
AT petervinje callforecastingforinboundcallcenter |
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