Greater Customer Engagement
According to industry predictions, customer experience will overcome price and product to become the key brand differentiator by the end of 2020. It is therefore clear that opening the lines of communication with customers and engaging them is essential for business success. This means customers and prospects expect immediate responses to their queries.
However, the problem is that a customer support representative can only respond to one call (real-time) or message at a time.
With the help of AI-powered chatbots, problems with live customer communications are resolved. These smart algorithms work around the clock and can handle multiple conversations simultaneously. They can assist customers, answer their questions, and offer them useful resources.
Furthermore, as chatbots can be programmed to collect and analyse customer data, they can provide organisations with valuable insights enabling a better customer experience.
Customer communication channels are varied and aside from real-time interaction, email still remains one of the top ways in which customers choose to contact businesses, with the average office worker receiving an average of 120 emails per day. The processing of these emails, particularly for larger organisations, can become repetitive, manually intensive and error-prone.
Automaton technologies such as Machine Learning enabled IPA allow for faster processing and handling times for these emails, freeing up customer service staff to spend more time building relationships and improving the customer experience. In addition, better visibility of data means that employees can respond to customer enquiries quickly and more accurately, improving NPS and competitive advantage as a result.