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	<title>iMonad.com &#187; call center research</title>
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		<title>Call Center Forecasting</title>
		<link>http://imonad.com/blog/2009/07/call-center-forecasting/</link>
		<comments>http://imonad.com/blog/2009/07/call-center-forecasting/#comments</comments>
		<pubDate>Wed, 08 Jul 2009 10:50:21 +0000</pubDate>
		<dc:creator>zoo</dc:creator>
				<category><![CDATA[Call Center Forecasting]]></category>
		<category><![CDATA[Contact Center]]></category>
		<category><![CDATA[Neural networks]]></category>
		<category><![CDATA[RBM]]></category>
		<category><![CDATA[call center research]]></category>
		<category><![CDATA[science]]></category>
		<category><![CDATA[call center]]></category>
		<category><![CDATA[call center analyst]]></category>
		<category><![CDATA[call centre]]></category>
		<category><![CDATA[contact center research]]></category>
		<category><![CDATA[customer care]]></category>
		<category><![CDATA[forecasting]]></category>
		<category><![CDATA[work force management]]></category>

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		<description><![CDATA[I have started new research project to create accurate model for forecasting call volumes in call centers.
Generally speaking call centers are specialized offices for handling customers requesting assistance. They are often staffing from hundreds to thousands of agents. The call-volume forecasts drives staffing decisions. During the work hours volumes have high variance depending from different [...]]]></description>
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