AI Implementation: A Complete Guide
Delivering exceptional customer experiences has become crucial for building brand loyalty, driving customer retention, and boosting revenue....
Can you have a natural-sounding conversation with a machine?
Modern technology attempts to bridge the gap between human-to-human and human-to-machine communication. This is called natural language processing. It’s commonly found in smartphones and smart speakers, but it’s also catching on in business customer service practices.
Natural language processing is a branch of artificial intelligence (AI) that helps computers understand, interpret, and manipulate human language. Natural language refers to just that: spoken or written human language. The technology’s use of AI allows it to interpret what a person says or types. Moreover, natural language processing is a learning algorithm that identifies and grasps various patterns. It then makes decisions or predictions independently, relying on collected data and sometimes human input.
The technology uses syntax and semantic analysis to process natural language. Syntax is the arrangement of words in a sentence to make grammatical sense. Semantics is the meaning behind those words and phrases. Therefore, natural language processing works through the combination of these grammatical tools and AI. This then results in an intelligent virtual agent (IVA) that understands context and handles complex human interactions, but more on that later.
There are several ways natural language processing enables the communication between technology and humans. Some examples include the following:
Everyday natural language processing examples include search engines like Google, email filters, speech-to-text dictation software, and voice assistants like Siri or Alexa. The technology is also popular among enterprises for customer support. Natural language processing examples for customer support include tools such as IVAs, interactive voice response (IVR), and AI chatbots.
Virtual agents that leverage natural language processing streamline customer service to improve customer experiences. For example, businesses use natural language processing in contact centers to analyze large volumes of text and spoken data from customer support tickets and phone calls. The intelligent tool supports the customer’s request and also shares valuable insights about improving the customer experience.
As teased above, IVAs are one example of natural language processing-enabled technology. One of customers’ biggest misconceptions about virtual agent technology is the perception that a “robot” can’t solve their sophisticated issues. Or the caller doesn’t think their problem fits the IVA’s pre-programmed options. Natural language addresses these common concerns by letting the caller speak or message freely to a computer and receive timely resolution as if speaking to a live agent. The business can train the IVA via the natural language processing solution to learn from previous interactions. Also, IVAs can pick up the caller’s intent, tone, and emotions and come up with solutions based on the analysis of that data.
IVR is an automated phone system technology. It allows incoming callers to access information via a voice response system of pre-recorded messages without having to speak to an agent. Most IVRs utilize menu options to route calls to specific departments or specialists. Still, some contact centers use natural language processing to allow callers to say what they’re calling about (i.e., checking an account balance) in various ways. The IVR can understand the caller even if their words are vague.
An IVR helps businesses increase customer satisfaction and improve contact center operations. For example, IVRs reduce long hold times during times of high call volume by enabling the caller to find answers and perform simple tasks on their own. Natural language processing in an IVR is limited, however. While it’s more helpful than a list of menu options, an IVA is better for conversational interactions.
Chatbots communicate with a user automatically without help from an agent via voice or text. Artificially intelligent chatbots mimic human-like traits and responses. Natural language processing works behind the scenes to enable these chatbots to understand the dialects and undertones of human conversation.
Natural language processing combined with AI creates knowledgeable virtual agents that can respond to nuanced questions and learn from every interaction to create better-suited responses in the future. These capabilities offer unique benefits to customer service and experience. Below are three benefits of integrating natural language processing.
73% of customers prefer to solve problems themselves instead of requesting the support of an agent. Natural language processing-enabled technologies such as IVAs, IVR, and AI chatbots manage common challenges customers face without a live agent. This way, customers gain greater autonomy over their interactions with the business and the option to solve problems quickly at any time they need. For example, intelligent agents can support a caller wanting to pay a bill themselves or check their account balance.
With natural language processing, contact centers can answer basic inquiries, reduce wait times for customers, and free up human agents to manage more complex service needs. For example, if a customer calls to manage a subscription, they will follow an automated guide to enter all of their information. IVAs, IVR, and AI chatbots use natural language processing to respond to open-ended prompts and recognize keywords and phrases to move the customer along on their journey. After entering all of their information, the caller is then connected to a live agent.
Natural language processing can pick up on unique communication needs and customer tendencies. Businesses can increase customer satisfaction and retention by providing personalized and contextual customer service based on previous interactions. Natural language processing works in two ways. It makes machines sound more natural, which makes the experience for the caller more comfortable.
Mosaicx’s IVA generates personalized responses to users. Mosaicx processes natural language requests using Google’s natural language processing models. These processing models interpret situational context, allowing the tool to handle a more complex range of questions and interactions. The solution resembles human speech and can understand queries with spelling and grammatical errors, slang, or potentially confusing language. With Mosaicx, users can rest assured that their information is accurate.
Natural language processing plays a vital part in helping businesses communicate with customers effectively. Companies can use natural language processing to enhance customer experience through intelligent virtual agents that automate and personalize service.
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