NLP Customer Care with Advanced Analytics

In this webinar, we will explore an implemented advanced analytics system, which leverages the power of machine learning to effectively track and categorise large amounts of textual data in near-real time, such as emails, chats, and messages. We will show you how the system is capable of detecting less significant textual inputs by considering their semantic score, ensuring that only relevant information is focused on. All the analytical results, including emerging categorisations and associated trends, are aggregated in an intuitive dashboard, providing an immediate view of incoming traffic without any manual intervention.

We will also explore how this advanced analytics system can specifically improve the customer care experience by providing timely and accurate insights into customer needs and concerns. By automatically categorising and analysing large volumes of textual data, customer care teams can quickly identify the most popular requests in near-real-time and prioritise their efforts to address customer issues promptly, leading to higher customer satisfaction and loyalty.