The call center industry is evolving in the face of advances in artificial intelligence and machine learning. Call center automation opens doors to providing exceptional customer service. Artificial intelligence-powered chatbots, voice recognition, voice biometrics, and cloud-based virtual call centers are fast becoming core to call center operations.
Call center automation can help enhance customer satisfaction and overall customer experience. Read on to learn more about Eleveo’s innovative call center automation solutions.
Scheduling is time-consuming; why not streamline it by exploiting AI and call center automation for creating agent schedules? It's complex; why not simplify it? A schedule created manually is inevitably sub-optimal; why not optimize it?
Scheduling is a data-heavy, variable-driven exercise. Few contact centers can afford a dedicated scheduling staff with the expertise to effectively manage schedule creation. But, you still need optimized schedules.
Eleveo’s AI-powered Auto Scheduling tool and other call center optimization features free you to devote more time to value-add activities, like agent coaching and other quality improvements. You’ll enjoy the peace of mind of knowing you’re extracting maximum value from your agent resources – and you’ll do it all with a single keystroke. Scheduling automation is a prime example of how automation can transform your call center operations.
Eleveo Automated Quality Management (AQM) with Conversation Analytics enables supervisors to evaluate 100% of contact center calls for compliance, customer satisfaction and agent training. AQM utilizes call center automation in the form of Generative AI in a number of ways. All are critical to elevating the customer experience and agent performance:
Conversation Analytics reaches deep into the Quality Management process. The visibility it provides fuels analysis, which yields insights. Managers can use those insights to evaluate and train agents.
They can identify compliance issues, sources of customer dissatisfaction, agent performance issues and process inefficiencies. Natural language processing can further refine these insights and improve the overall customer experience.
Managers may think that direct feedback from agents or a small number of customer call reviews puts their fingers on the pulse of QM. That's not true.
Managers can’t manually analyze a large enough sample of agent/customer interactions to gain a thorough understanding of performance. Relying on agent feedback and anecdotes is no way to reliably recognize patterns within the noise. The fact is, manual QM efforts are time-consuming tasks that are inefficient and prone to error.
Advanced and automated speech analytics is a transformational technology for contact centers. Call center automation software uses standard data process algorithms to transform the nuances of speech and silence into intelligence. You'll gain insight into customer attitudes, agent aptitude, process effectiveness and trending issues. It does the same for chat and email interactions, still detecting attitudes and emotions through keywords and phrases.
By utilizing interactive voice response systems, call centers address customer issues efficiently and improve first call resolution rates. Automation can significantly improve customer interactions and overall satisfaction in call centers.
Also, integrating a comprehensive knowledge base into your call center software empowers agents. They'll have quick access to information, improving the speed and accuracy of customer support. By reducing the need for human intervention, call centers can handle customer queries more effectively..
To learn more about how to establish a healthy balance between virtual and human agents in contact centers, and about other automation tools you can leverage, contact us.
Prague, Czech Republic
Franklin, Tennessee
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Prague, Czech Republic
Franklin, Tennessee