With customer experience considered a significant factor in driving customer loyalty and retention, companies must do more to ensure their call centres are up to the task. This is where innovative technologies such as artificial intelligence (AI) and robotic process automation (RPA) have become instrumental.
Whether they are inbound or outbound-facing, call centres face a fundamental challenge in that generally neither employees or customers enjoy the call centre experience. From an employee side, there is massive attrition due to the long hours, intensive work, customers shouting at them all day long, and inability to access the information about customers and incidents that they need to succeed. Similarly, customers are frustrated by having to speak to a new agent every time, which continues the perception that the company has no unified view of who they are and doesn’t understand the issues they are facing.
This lack of empowerment on both sides of the phone results in companies having to continually invest in training new staff and customers starting to look at other service providers that can better fulfil in their requirements. This is where the likes of AI, robotic process automation (RPA) and even chatbots can drive the customer and employee experience, leading to a more efficient call centre that delivers better profit margins. The future of the call centre will become reliant on using such innovative technologies to deliver on customer expectations – without it, employees will find it more and more difficult to deliver.
Tech to watch
One of the most important ways this technology can help to address most call centre concerns is through predictive processing. AI can be used to determine the tone of voice of a person waiting, identifying the customer as well as where they are phoning from, and using data analysis to see if there is a significant issue that would be relevant.
For example, if a call centre agent at a power utility could be made aware that the current caller has a power outage in their vicinity, this knowledge can prearm the agent with some empathy, and having resolution time feedback in hand would leave the customer with a feeling that their supplier actually does know them and their context.
This arms the call centre agent with critically important information that can almost immediately turn a negative customer experience into a good one. After all, being able to identify the problem even before the person speaks to an agent already saves a significant amount of time, and certainly improves the experience for the customer. Then, using RPA, potential solutions can already be initiated through various processes while the agent is busy talking to the customer.
Virtual agents will also start becoming more commonplace. These use AI to provide the agent with contextual information while the customer conversation is taking place. Furthermore, the virtual agent model can learn from historical transactions (either text or voice-based) to work out scenarios of how to resolve customer queries more effectively.