CallMiner Introduces New AI Capabilities to Improve Real-Time Agent Performance and Customer Experience

CallMiner has introduced some new functionality that has helped to advance its conversation intelligence platform by adding more AI capabilities to improve real-time agent performance and achieve better results for customers. With the help of the latest functionality, companies can get more proactive and actionable insights during real conversations to better respond to customer needs and increase efficiency. Using AI and machine learning technologies, CallMiner is now able to detect customer sentiment, conversation risk, compliance, and coaching issues in real time rather than at the end of each call.

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It is supposed to enable the provision of assistance to the agents with context-based guidance and suggestions, which will result in improved service quality, better first contact resolutions and a more customized experience for the customer. On the other hand, the supervisor gets more visibility on the live conversation, making it possible to assist whenever required through real time feedback on the performance of the agent. This announcement shows the use of technology, which makes it easier to bring about an integration between automated and human assistance in the delivery of improved results. Through the intelligent extension of the live conversation, CallMiner intends to help organizations develop stronger relationships with their customers, enhanced performance by the workforce and improved consistency of the experience.

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