Guide to Customer Care Tech

Not All Customer Care Technology is Created Equal

Your guide to choosing superior, next gen customer care technology that delivers the experience your customers deserve
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Customer Tech

The power of consumer technology

Technology has changed the world that we live in– there’s no disputing it. Businesses have taken advantage of advances in technology in a multitude of ways, usually as a way to increase productivity or decrease operating costs. Consumer technology has made its way to the forefront of technical applications due to it’s incredible potential to transform business. However, due to its visibility to consumers, when applications are low quality, consumers quickly take notice. This has led to some mistrust among consumers and businesses alike toward automation. But, when done correctly, technology implementations can be the reason that businesses continue to thrive for years to come.

What is consumer technology?

Consumer technology is any technology that is built to be used by the general public. It’s ubiquitous nature requires its functions to be accessible to anyone, without any prior knowledge of the system. This differs from commercial and enterprise technology which may require training in order to operate. Think of it like this– you shouldn’t have to teach consumers how to contact your business. It should be straightforward and natural. 

There are many different types of consumer technology. From digital payment platforms to customer service automated lines, consumer technology can be integrated across the entire customer journey to increase productivity and decrease operating costs. 

Our Tech
How our tech works

Why is consumer technology important?

Beyond expanding the number of customers that can be assisted, technology can also improve business processes for brands. With more streamlined processes, businesses can save money and improve customer experience. For this to be possible, technology must be integrated holistically into the business ecosystem. 

It’s easy to see when technology is NOT integrated into the business ecosystem– or when technology is outdated. Have you ever had an overly robotic interaction with a brand? Or it’s taken a long time and several transfers within a brand to solve a seemingly simple question? When brands do not have a holistic approach to technology, it will feel disjointed and robotic.

How is AI used in consumer technology?

AI, or artificial intelligence, has been the single greatest advancement in technology. AI technology allows applications to continually improve, which allows them to be used in settings like customer experience which are constantly changing. Think about communication– from slang, to accents, to jargon, there are always new words and phrases that need to be learned. Without AI, automation technology would fall flat, resulting in frustrated experiences for customers. With AI (and some tuning and training from humans), automation technology can be effortlessly used by customers for transformative experiences. 

Voice Biometrics

Common customer-facing technologies used in customer experience

Conversational AI 

Conversational AI is the set of technologies behind automated messaging and speech-enabled applications that offer human-like interactions between computers and humans. Simply put, it’s how humans can talk with computers as if they were, well, humans. Conversational AI can enable communication like a human by recognizing speech and text, understanding intent, deciphering different languages, and responding.


Natural Language Processing

NLP is an umbrella term which covers Natural Language Understanding (NLU), Natural Language Generation (NLG), and Dialogue Management. Because the human language is extremely complex, words can mean different things in different contexts. NLP enables Conversational AI technology to make sense of a customer’s language and recognize their intent, and produce a response.


Machine learning

Machine learning is a set of algorithms used to train a computer to perform certain tasks without being explicitly programmed. Intelligent Virtual Assistants (IVA) utilize machine learning and Deep Neural Networks (DNN) to learn and become more intelligent as they process more and more transactions.


Automatic Speech Recognition

ASR, one of the underlying technologies of AI, is the foundational technology that allows computers to understand spoken words. Today’s ASR can be trained to understand languages, accents, and dialects, making it a crucial aspect of an IVA.


Adaptive Understanding

Without humans, Conversational AI falls flat. Thankfully, our patented Adaptive UnderstandingTM technology is here to fill in the gaps to deliver a customer experience on par with human agents. How does it work? When the technology has a low confidence level of understanding what a customer has said or the intent behind their words, a human intent analyst provides clarity. This happens in real-time, within milliseconds, without the customer ever knowing. The result? An effortless conversation where the customer is always understood, despite noisy backgrounds, thick accents, or the words they choose to use.

Want to learn more? Let’s talk.