Continuous developments in technology, along with high standards of good service, have changed the way clients interact with companies. When companies reshape their strategies to keep consumers satisfied and boost consumer loyalty, many of them turn their focus to artificial intelligence (AI) to automate their customer service and provide 24/7 support.


Artificial intelligence (AI), like it or not, is everywhere. It is obvious when a chatbot shows up on a website and offers some support. But we cannot even imagine how many ways AI is being used. It is not a question of when AI will start playing a part in our daily lives; it already is. Instead, we can ask if we are using it to its maximum potential.

Benefits of AI in Customer Care

Artificial intelligence (AI) is revolutionizing business and bringing automation to the next level by creating smart machines that can process large volumes of data.

AI allows customer service agents to provide personalized and more productive customer interactions, from improving response times to managing basic requests. Not only does it improve efficiency and customer loyalty (increasing customer satisfaction) by automating monotonous and repetitive activities, it also enables agents to concentrate on more satisfying tasks that have a greater effect on business results.


Improved Agent and Customer Satisfaction

Happy customers with service

Excellent customer support is just as important as the goods and services of a company. Automating customer service activities can dramatically boost response times and help you deliver a seamless and reliable multi-channel customer experience, increasing customer loyalty. Quick answers make your clients feel unique and raise their loyalty to your brand.


Higher Accuracy and Better Decision Making

Machines produce results that are precise, reliable, and consistent. When performing repetitive tasks, computers do not get tired, unlike humans, and still, apply the same criteria when marking data.

Since AI-powered instruments are more precise, companies can rely on their data-based observations and make decisions. For instance, if a SaaS company finds that a large portion of negative support tickets is related to ease of use, this might cause them to develop a guide on how to use their program.


Faster Responses and Real-Time Messaging Services

Usually, consumers expect their response to email within 24 hours, to chat within 60 minutes or less, and to telephone within three minutes.

With the help of AI tools, you can review texts and allocate tickets to the right teams. That means no more wasting time transferring tickets from one team to another, and there will be no more urgent requests slipping under the radar. Chatbots, meanwhile, offer 24/7 assistance and can automatically manage commonly asked questions.


Boost in Revenue

Graph of increasing revenue

Implementing AI to automate customer service processes reduces time and costs plus increases customer experience overall. This results in higher customer satisfaction and loyalty and increases the life cycle of the customer. Sixty-three percent of executives record sales rises by adopting AI in the areas where it is being used, according to a McKinsey global survey.


AI Technology for Customer Care

Several AI tools can help to push customer service to the next level. Here are some options you might want to consider, depending on the type of solution you are looking for:


AI Voice Assistant

Kwantics voice bot helping customers

AI Voice Assistant is a virtual assistant which uses natural language processing (NLP) technology to communicate with callers.

It is efficient that human-based call centers that can be easily addressed and decrease the time taken to address the complaint of a caller. It features communications between customer service representatives and callers in both speech-to-text and text-to-speech.

Voice assistants for customer support also allow companies to serve consumers around the clock. The ability to easily provide vital information to customers or handle straight forward requests in a shorter period are both major advantages.


Speech Analytics

Kwantics voice both helping customers

Speech analytics is one of the main customer service tools used to make Big Data information not only useful but real-time actionable. Speech analytics provides the opportunity to produce relevant voice data and patterns in interaction to help businesses in their contact centers and other business areas enhance services, minimize costs, and increase revenue.

Speech analytics is especially valuable and helpful for companies running call centers because they allow them to extract critical information from unstructured customer interaction data, detect trends and take action to optimize what they sell or how they sell it.


Speech Recognition

Speech recognition is the ability of a computer or program in spoken language and natural speech to recognize words or phrases and translate them into a machine-readable format. Speech recognition software is used in customer care systems to monitor incoming customer calls.

Recognition of speech affects the way customer care services connect with clients, the way information is processed, and also the way businesses perceive their customers. Day by day, this technology is developing and has become a driving force for the evolution of user and customer service agency experiences around the world.


Speech Synthesis

Text to speech conversion

Cloud-based platforms are working twice as hard to meet the criteria to bridge business connectivity gaps, with organizations keen to make it easier for consumers. Speech synthesis allows companies to provide customer service quickly and efficiently and close the gaps to allow smoother customer experiences.

Speech synthesis also helps to create a more personalized environment to provide a unique user experience and allows them to record their input and capture specific output. The delivery of main messages in lifelike voices that are easy to understand can easily be implemented.


Artificial Intelligence has helped departments of customer service streamline their work and simplify minute details, and AI will continue to assist agents will concentrate on complicated problems. AI is still an iterative space where ongoing research is strengthening services and will continue to do so.

While chatbots and other AI-enabled systems run in the background, assisting consumers, and gathering mountains of data along the way, the overall customer experience and business will increase.

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