How big language models add value to contact centers with AI

How can the Large Language Model (LLM) be used to enhance the contact center agent experience and improve customer service? Automating customer conversations with empathetic responses can help businesses deliver more personalized experiences that increase customer satisfaction and improve brand loyalty. It can also help businesses reduce agent workload, reduce operating costs, and improve overall efficiency in the contact center.

Today we’re going step by step through a use case example of how LLM can be used to enhance the contact center agent experience. We’ll provide a visual demonstration of how LLM can automate conversations with customers, provide empathetic responses, and allow quick access to frequently asked questions in the Contact Center. This example shows how LLM (Language Modeling) can help businesses streamline the customer service process and enhance the overall customer experience.

In this scenario, I’m going to role-play a contact center agent with a sample conversation of someone coming into queue with a question.

How LLM Can Automate Conversations With Customers

Large language models can automate interactions with customers by generating welcome responses and enhancing conversational functions that can be run alongside the agent’s desktop. It can streamline the entire flow from start to finish, making the process more efficient for both the agent and the customer.

Once the chat is initiated, the Intelligent Virtual Assistant (IVA) will generate an appropriate welcome response for the customer. In this example, we see that the customer wants to change the due date of his payment.

Automatically, IVA is able to complete the dialog task and run it with the agent. If LLM and the virtual assistant are set up properly with the conversational task built in for it, this entire segment of the conversation – this entire workflow – can be automated from start to finish.

Customer replies: ‘Things pile up and I can’t get to it until this month. Can you change it to five?’ This means that there is a lot going on that the customer thinks is going on, so we want to respond empathetically.

Providing responses with empathy towards the customer

LLMs can also provide empathetic responses to customers, helping to improve the customer experience of interactions. By using LLM, understanding customer needs and providing human-like responses, the intelligent virtual assistant can make customers feel heard and valued.

So we respond that ‘we understand that it is difficult to manage these payments.’ We are able to provide that empathy so that we can deliver the next level of interactive customer experience. The next step is to end this flow and assist the user.

Using the Knowledge Base FAQ

By using LLM, the intelligent virtual assistant is able to answer additional questions. Being connected to the company’s knowledge base, IVA is able to efficiently find the right frequently asked questions (FAQs) and provide accurate feedback to the user immediately.

Not only are you driving forward agent efficiency and the agent experience, but you’re also developing the next level of customer experience.

end a conversation with a customer

Once the main request is met, we can ask and see if there is anything else we can do to help the customer. Once the conversation is over, we can see that the customer doesn’t need anything else, so we’re going to close the conversation.

Automating Call Summary Reports for CRM

The ‘Wrap-up Notes’ are summarized so that you can save it in a Customer Relationship Management (CRM) program. By doing this, we’re driving massive efficiencies through the contact center, and really enhancing both the agent and customer experience.

Business Value of the Large Language Model

LLM is a valuable tool for businesses looking to automate their customer service process and drive efficiency in their contact centers as well as provide better customer experiences. By providing empathetic responses, quick access to information and streamlining the entire process, LLMs can help businesses meet the demands of their customers and stay ahead of the competition.

The Kore.ai XO platform empowers businesses to build advanced virtual assistants that generate natural responses with minimal development effort. By harnessing the power of Large Language Models (LLM) and Generative AI technologies, the platform intelligent virtual assistant (IVA) assists at every stage of development, thereby reducing operational efforts and achieving results in less time.

Are you ready to achieve faster time-to-market? Try Kore.ai today!