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Next in line, there was a 5-way tie for the following capabilities: OmniChannel, Speech Analytics (word or sentiment recognition), Proactive Notifications, Chat Bots, and Intelligent routing to match best agent for each call. Finally, we asked about what people are planning to add in the near future.
Systems in which they plan to invest are: intelligent virtual assistants (IVAs), bots, robotic process automation (RPA), analytics-enabled quality management (AQM), self-service, WFM and more. Digital Transformation and Omni-ChannelSupport. Cloud-Based Contact Center Solutions. Final Thoughts.
AI and machine learning are being leveraged in skill/skill-proficiency assignments to support outcome-driven predictive routing strategies. Predictive analytics is being used internally to assist with hiring decisions, to identify and understand the drivers of agent churn, and to recommend intervention.
(Many companies purchased a different servicing solution for each of their channels, as they became available.). Providing omni-channelsupport is not an option, as it is what customers (and consumers in general) want and expect. Simplifying Servicing Environments. Learn more at www.dmgconsult.com.
Data-Driven Insights Call/Contact centers that are managed professionally are able to leverage data analytics to their advantage and make data-driven decisions. Systems that are outdated may not be able to support modern functionality, resulting in inefficiencies. Scalability Growing a call center requires scalability.
These digital disrupters are reshaping the customer service landscape and are rapidly unseating traditional communication channels. Omni-channels. Supportchannels enable businesses to provide customers with information, solve problems, and respond to complaints. Artificial Intelligence.
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