Systems and methods for routing callers to an agent in a contact center
First Claim
1. A computer-implemented method for identifying an ideal agent pool, the method comprising the acts of:
- determining, by one or more computers, an optimal interaction;
determining, by the one or more computers, a set of caller data from a sample of callers;
determining, by the one or more computers, a set of agent data from a set of agents;
generating, by the one or more computers, a predictive computer model for the optimal interaction with the set of caller data and the set of agent data;
identifying, by the one or more computers, from the computer model, a mix of characteristics from the set of agents to increase the chances of the optimal interaction occurring for the sample of callers; and
routing, by the one or more computers, one of the callers from the set of callers to one of the agents from the set of agents based at least in part on the mix of characteristics.
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Abstract
A methods for routing callers to agents in a contact center, along with an intelligent routing system. One or more agents are graded on achieving an optimal interaction, such as increasing revenue, decreasing cost, or increasing customer satisfaction. Callers are then preferentially routed to a graded agent to obtain an increased chance at obtaining a chosen optimal interaction. In a more advanced embodiment, caller and agent demographic and psychographic characteristics can also be determined and used in a pattern matching algorithm to preferentially route a caller with certain characteristics to an agent with certain characteristics to increase the chance of an optimal interaction.
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Citations
31 Claims
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1. A computer-implemented method for identifying an ideal agent pool, the method comprising the acts of:
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determining, by one or more computers, an optimal interaction; determining, by the one or more computers, a set of caller data from a sample of callers; determining, by the one or more computers, a set of agent data from a set of agents; generating, by the one or more computers, a predictive computer model for the optimal interaction with the set of caller data and the set of agent data; identifying, by the one or more computers, from the computer model, a mix of characteristics from the set of agents to increase the chances of the optimal interaction occurring for the sample of callers; and routing, by the one or more computers, one of the callers from the set of callers to one of the agents from the set of agents based at least in part on the mix of characteristics. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20)
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21. A non-transitory computer readable storage medium comprising computer readable instructions for:
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determining, by one or more computers, an optimal interaction; determining, by the one or more computers, a set of caller data from a sample of callers; determining, by the one or more computers, a set of agent data from a set of agents; generating, by the one or more computers, a predictive computer model for the optimal interaction with the set of caller data and the set of agent data; identifying, by the one or more computers, from the computer model, a mix of characteristics from the set of agents to increase the chances of the optimal interaction occurring for the sample of callers; and routing, by the one or more computers, one of the callers from the set of callers to one of the agents from the set of agents based at least in part on the mix of characteristics. - View Dependent Claims (22, 23, 24, 25)
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26. A system comprising one or more computers, configured to:
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determine, by one or more computers, an optimal interaction; determine, by the one or more computers, a set of caller data from a sample of callers; determine, by the one or more computers, a set of agent data from a set of agents; generate, by the one or more computers, a predictive computer model for the optimal interaction with the set of caller data and the set of agent data; identify, by the one or more computers, from the computer model, a mix of characteristics from the set of agents to increase the chances of the optimal interaction occurring for the sample of callers; and route, by the one or more computers, one of the callers from the set of callers to one of the agents from the set of agents based at least in part on the mix of characteristics. - View Dependent Claims (27, 28, 29, 30, 31)
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Specification