Conversational artificial intelligence (AI) is everywhere. In today’s world, you’ll find conversational AI in healthcare, banking, retail, sales, and your home devices – like Alexa.
Therefore, since a perpetual “self-taught” style of gathering data is constantly improving, AI conversational language learning is always getting better. The days of basic chatbots that are restricted to a suite of pre-determined answers are over. Instead, end users can get real answers to their questions and have access to the information that matches their intent.
In the past, automated responses to consumer queries were considered a nuisance. Think of any time you had to go through multiple phone tree options to reach a specific department or a real person. However, today’s conversational AI platforms make customer service initiatives easier and much better for everyone involved.
Exploring the Impact of Conversational AI on User Experience
According to MIT Technology Review, 90% of businesses report significant improvements in the speed of complaint resolution by implementing conversational AI. On the other hand, 70% of consumers prefer conversational AI and other conversational AI tools for fast and accurate service-related responses.
Simply put, using conversational AI for customer service has several benefits. It enhances the customer and user experience while saving your business money and resources.
Deciding to utilize conversational AI to enhance your business and customer service is easy. However, determining the best way to integrate conversational AI for your operations can be a little tricky.
What is Conversational AI?
Conversational AI is a modern technology that employs emerging and sophisticated elements like Natural Language Processing (NLP), Machine Learning (ML), and Deep Learning (DL). This technology allows machines to understand and properly respond to requests or messages in a natural and personalized manner.
The general definitions of the three elements of conversational AI are as follows:
Natural Language Processing (NLP)
Natural Language Processing allows machines to understand human language by breaking down the end user’s message or question into smaller parts, analyzing these components for meaning, and then translating these parts into the best response.
Machine Learning (ML)
Machine learning allows conversational AI platforms and tools to learn from past experiences without additional programming or guided responses. Conversational AI platforms tend to have inherent algorithms that enable the AI tool or other platform to continually analyze past responses and conversations, identify patterns, and improve future communications.
Deep Learning
Deep learning is a subset of machine learning that involves training neural networks to obtain and process deep or vast amounts of data. This creates even more precise and natural responses and evolves and improves over time.
Enhancing User Experience with Conversational AI
As noted, both businesses and the customers they connect with appreciate conversational AI for various reasons. The following below is just some of the many advantages of conversational AI.
- Personalization – Unlike old chatbots or even paid human customer service representatives who may have deep familiarity with a company’s products, services, and demographics, conversational AI tailors interactions based on user data and behavior, both past and present. As such, there is a better level of personalization when it comes to messages and questions and a high rate of resolutions to customer service issues on the very first connection or contact.
- Efficiency and accessibility – Small and moderately-sized businesses can’t possibly respond to customer service questions or messages 24/7, but conversational AI platforms can. This means that consumers can contact a business on their own schedule, while a company can operate under regular working hours.
- Engagement and retention – When used correctly, Conversational AI can even improve revenue streams by identifying what a customer is looking for and then making recommendations on upgrades, similar products or services, or other ongoing promotions that can add additional income. Conversational AI can even improve brand loyalty by creating personalized and deeper connections with end users by pinpointing their distinctive pain points, needs, and interests.
Overcoming Challenges with Conversational AI
While conversational AI can improve customer service across the board, there are inherent challenges when launching and integrating a new conversational AI platform. Let’s look at some of these possible challenges.
- Addressing limitations of conversational AI – Even though conversational AI tools are always evolving, understanding context, complex questions, other challenging scenarios can still be problematic as this technology continues to grow.
- Ensuring privacy and security in AI-driven interactions – It’s important to have a resource like C1M that can help you launch and implement conversational AI to protect the security of your company and your consumers’ data. This is especially true if you work in an industry that deals with sensitive information or is highly prone to cyberattacks, like the healthcare and finance industries.
- Understanding the many ways conversational AI can be used – Conversational AI isn’t just a handy tool for allowing your employees to spend less time on the phone fielding questions. Instead, it can be a game-changer, and help with market research and marketing campaign initiatives, customer data, content, website research, and so much more. An expert in conversational AI can help you navigate its many potential benefits and identify the best ways AI-centric tools can boost your unique business.
Discover the Advantages of Conversational AI and Stay Ahead with C1M
Conversational AI is cutting edge technology that is growing faster and more complex every day. As such, the best way to integrate conversational AI into your business is to start by reaching out to an expert for guidance on the first steps to understanding and using this revolutionary resource to its best advantage.
At C1M, we are leading the way when it comes to understanding and implementing conversational AI. We have expert content engineers on hand that can help you with the initial stages of using conversational AI, and seamlessly integrate key aspects of customer service, content curation, and everything in between. Also, since we are a client-focused company, we’ll ensure your conversational AI aligns with your brand and distinctive voice.
Reach out to our team to get started. With C1M behind the scenes, you can take a giant leap in improving your customer service and connections in every aspect of your business.
