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AI Customer Service: The Next Age of Customer Support [December 2023]

Benjamin Steve Richard
November 22, 2023

The customer service sector is undergoing a revolution with the introduction of artificial intelligence (AI). Businesses are increasingly turning to AI customer service to enhance their support capabilities. This isn’t just a trend, but a strategic transformation setting new benchmarks in customer engagement and support. In this blog, we’ll look at what AI in customer service is, its benefits and limitations, use cases and how it’s incorporated into

What is AI Customer Service?

AI customer service refers to the integration of Conversational AI into customer service operations.

These technologies automate and enhance interactions between businesses and their customers with the aim to personalize interactions and streamline the customer service process, making it more efficient and effective.

According to Bernardo Gonzales,’s Head of Customer, the quickest businesses to adopt customer service AIs are industries where customer interactions are high. These industries and common use cases are:

  • E-commerce and retail: Customers often inquire about order status, detailed product information, the returns process and shipping details. Prompt and accurate responses in these areas are crucial for a positive shopping experience.
  • Travel and hospitality: This sector provides booking assistance, up-to-date travel advisories and comprehensive customer service throughout the customer's journey, ensuring a seamless and enjoyable experience.
  • Technology and software: Key services include answering frequently asked questions, managing account details, updating customers on service changes and providing tutorials and product updates to keep users informed and engaged.

Of course, using AI in customer support isn’t just limited to these industries. When you look at the benefits below, you’ll realize the immense potential that AI can offer your business.

Upgrade and Revamp Customer Service with AI

AI can unlock a world of opportunities for customer support agents and businesses alike. It has the power to transform the way businesses meet customer expectations through conversations.

But it’s not just about addressing customer needs; it’s about turning every support query into an opportunity for enhanced customer engagement and satisfaction.

How Ai improves customer service
Customer service AI: Reap the benefits of implementing Conversational AI in customer support

However, Gonzalez notes that many businesses still limit themselves to human agent support because they want personalized customer service interactions. This is despite the significant role AI is already playing in customer support.

Once businesses learn about AI benefits in customer support, they’ll change their minds. Let’s look at that next.

AI in Customer Service: Provide 24/7 Support Globally

One of the most significant advantages of AI in customer support is providing 24-hour support. This around-the-clock availability meets the modern customer's expectation of immediate and efficient service. The ability to offer consistent support ensures customers receive assistance whenever needed.

It can also break down language barriers with instant translation capabilities to offer multilingual support. This allows businesses to support a global audience without investing a lot of resources in building multiple customer service teams to cater to specific regions.

AI in Customer Service: Scale Up and Optimize Costs Without Compromising on Quality

For businesses of all sizes, AI offers scalability and cost optimization in customer support by automating routine tasks and inquiries. Larger companies can reduce the need for a vast customer support team, while smaller businesses can scale their services rapidly without a proportional cost increase.

Despite AI’s ability to scale customer support operations, the quality of support is maintained under varying demands. This makes AI an invaluable asset for businesses aiming to grow or manage their resources efficiently.

AI in Customer Service: Improve Agent Productivity

AI's capability to handle routine queries allows human agents to focus on more complex and strategic tasks. It can boost the productivity of human agents by taking over mundane responsibilities, like greeting customers or answering frequently asked questions.

Gonzalez noted, “Basically, AI is a great sidekick for any Customer Support team. By automating routine tasks, it allows humans to focus on high-value, complex or sensitive issues that require a high degree of empathy and genuine care.”

AI in Customer Service: Continuous Learning and Improvement

AI's ability to continuously learn from customer interactions is a critical benefit. This ongoing learning enables AI to refine its responses, adapt to changing customer behaviors and stay updated with the latest trends.

Such adaptability ensures that AI tools remain relevant and effective even with customers' changing behaviors and preferences. It’s constantly enhancing the customer service experience.

Now that we’ve gone through the benefits of customer support AI, let’s move on to the various applications for businesses.

AI Customer Service In Action: Tools for Next-Level Customer Interactions

AI is exceptionally versatile, being able to fit many business needs like analyzing customer data, predicting trends and automating routine tasks. This versatility allows businesses to adapt AI solutions to their specific needs and objectives, creating more efficient and effective customer support operations.

How to use Ai in customer service
Customer service AI: Tools that boost your customer support interactions

Here are a few examples of AI tools that enhance customer support strategies and the overall customer experience.

AI-Powered Chatbots

ChatGPT popularized AI chatbots in late 2022. Since then, it has taken the world by storm, with businesses realizing its potential. ChatGPT-like chatbots have been integrated into many customer service processes.

Capable of handling multiple queries simultaneously, they significantly reduce response times and enhance the overall efficiency of customer service. This multitasking capability ensures that customer wait times are minimized, improving the customer experience significantly.

Natural Language Processing

Natural Language Processing (NLP) is a cornerstone technology that empowers AI to effectively interpret and respond to customer communications. NLP algorithms are sophisticated enough to understand the nuances of human language, including underlying emotions in text or speech.

This capability is pivotal in organizing incoming customer inquiries or issues into distinct categories and extracting key insights from their communication, which helps streamline response times and improve service efficiency.

The real power of NLP lies in its ability to adapt and learn from each interaction. Over time, AI systems equipped with NLP become more adept at understanding various dialects, regional nuances and even industry-specific jargon.

Predictive Customer Analytics

Harnessing the power of AI to analyze patterns in customer data enables businesses to anticipate and proactively address potential issues or behaviors. This predictive capability is a game-changer for customer service, allowing businesses to take a more proactive stance in managing customer relationships.

By identifying trends and potential issues in advance, businesses can tailor their services to better meet customer needs, often before the customer is even aware of them.

Moreover, predictive analytics can help segment customers based on their behavior and preferences. This allows for highly personalized marketing and service strategies for higher customer satisfaction.

Virtual Product Assistance

AI acts as a digital guide, aiding customers in understanding product features and troubleshooting, ensuring a smooth experience. Such assistance is particularly beneficial for complex products or services, where customers may require additional support to fully utilize them.

This virtual assistance enhances the customer experience by providing immediate and relevant information. It also reduces the workload on human customer service agents by handling common queries.

Self-Service Portals

Traditional self-service portals and AI-powered ones are designed to reduce the workload on human agents. The difference is the traditional portals require customers to either navigate a multi-level chat menu or type in their inquiry using the exact keywords required to get a response.

AI-powered self-service portals can understand a wide range of inquiries without requiring the customer to use the right keywords.

Despite the list of benefits AI has to offer in the customer support sphere, its capabilities are still limited.

Watch Out for AI Customer Service Limitations

Before implementing AI in your customer service processes, you need to be aware of its shortcomings. Understanding these limitations is crucial for businesses looking to integrate AI into their customer support strategies effectively.

What is AI for customer support limitations?
Be aware of customer service AI shortcomings

This section will delve into the various challenges and limitations inherent in AI-powered customer service, providing a balanced perspective on its role in modern business environments.

Limited Learning Ability

AI's effectiveness in customer service is intricately tied to the quality and breadth of its training data. When faced with queries that fall outside its programmed knowledge base, AI can struggle to provide accurate or relevant responses.

This limitation underscores the need for continuous monitoring and regular updates to the AI's training regimen.

AI Can Give Incorrect Responses

AI hallucinations, where the system generates incorrect or nonsensical responses, present a significant challenge in customer service. This usually arises from limitations in the AI's training data or algorithms.

Such inaccuracies can erode customer trust and lead to frustration, especially if customers receive irrelevant or misleading information. This issue necessitates vigilant oversight by human support teams, who may need to intervene and correct errors, ensuring accuracy and maintaining customer trust.

Consistency is not Guaranteed

Consistency in AI-generated responses can be impacted by updates and changes to AI models. For example, an update to ChatGPT 4 in July 2023 caused a drop in output quality.

While updates are essential for improving AI capabilities, they can sometimes lead to temporary inconsistencies in how customer queries are handled.

Lack of a Human Touch

Despite AI’s capacity to perform sentiment analysis, it still has a long way to go before it can match human conversations. This is what Gonzalez has to say about it:

“It is hard to notice the difference between an AI and a human response to straightforward, informational inquiries. However, when it comes to complex, sensitive or highly personalized interactions, customers will be able to tell the difference.”

A Homegrown AI is Expensive to Build

Developing proprietary AI systems for customer service can be a daunting and costly endeavor, especially for smaller businesses. The resources required for building, training and maintaining a sophisticated AI system are significant.

This challenge includes not only financial investment but also the need for specialized expertise and continuous development efforts to keep AI relevant and effective.

Despite these limitations, that hasn’t stopped businesses from utilizing AI customer service to its fullest. In the next section, you’ll learn about success stories of AI customer service.

Winning With AI Customer Service

AI in customer support isn’t just a nice concept to think about. It’s already being used in the real world with great success for businesses implementing it. These success stories serve as compelling testaments to the transformative power of AI in enhancing customer service experience.

Myntra's MyFashionGPT

Myntra, a fashion e-commerce site owned by the Flipkart group, rolled out MyFashionGPT. It’s an AI-powered shopping assistant that bridges the gap between extensive product offerings and personalized shopping experiences.

Customers simply type in queries to discover fashion ensembles tailored to specific occasions, styles or even celebrity-inspired looks. MyFashionGPT streamlines product discovery and offers curated suggestions based on individual preferences and shopping history. The result is a more engaging, intuitive and satisfying shopping journey.

Next, let’s look at how uses AI to improve businesses' customer service experience. Powering Customer Service with Conversational AI

“ is at the forefront of the AI transformation, integrating it into our customer support platform to offer businesses advanced tools for automating responses, personalizing interactions and streamlining communication across multiple channels,” said Gonzalez.

It works hand-in-hand with other features on the platform to enhance the user and customer experience.

AI in customer service: A customer conversation management platform with AI at its heart

Here’s a short list of features that enhance a business’s customer support capabilities.

Upgrade Your Responses With AI Prompts's AI Prompts is a prime example of AI’s application in enhancing customer-agent interactions. These prompts refine agents’ responses, ensuring they align with the brand's ethos and voice.

Improve your responses with AI Prompts
AI in customer service: Improve your responses with AI Prompts

Gonzalez says about 60% of’s Enterprise customers use AI Prompts, highlighting the mass adoption of AI as a part of customer conversations. It’s used to improve the messages that agents send to customers. Here are a few examples:

  • Multi-lingual capability: AI Prompts can understand and respond to multiple languages and dialects like Arabic and Spanish.
  • Translate code snippets: In addition to understanding human language, it can also understand programming language, allowing it to translate code snippets from one programming language to another.
  • Simplify language: It can break down paragraphs into bullet points, taking complex ideas or jargon into easy-to-understand pieces of information.

Combining the default and custom prompts allows businesses to unlock even more use cases for their support operations, further enhancing their responses to customers.

Quick and Accurate Responses With AI Assist

With AI Assist, agents can get comprehensive answers to customer inquiries at the click of a button. It does this by drawing information from the knowledge sources provided in the form of PDFs, website links and canned responses.

It has received widespread adoption among Enterprise customers, with 85% of them using AI Assist, according to Gonzalez.

He notes that AI Assist is best used when customers ask for more technical information like industry updates and documentation. Additionally, it’s great for comparing products and services against competitors.

AI in customer service: Give comprehensive replies with AI Assist

AI Assist enhances the efficiency of customer service agents, significantly reducing response times and improving the accuracy of information provided to customers.

Automated Customer Service Workflows’s Workflows automation builder facilitates complex task automation. It can be used for a wide range of purposes, including contact routing, agent assignment, spam management and more.

Workflows streamline various customer support processes, freeing agents and supervisors for more important tasks.

Build automations in conjunction with AI for customer service to enhance customer support
AI in customer service: Automation builder

Very soon, AI Agent will be added to Workflows as a step in the automation builder. When included in a Workflow, the AI Agent will automatically reply to customer inquiries, allowing agents to focus on high-value conversations.

Omnichannel Experience's omnichannel capability allows businesses to interact with customers across various channels in one platform. This gives businesses the opportunity to reach out to a wider audience, regardless of the channels they’re on.

Connect to multiple channels and answer inquiries with AI for customer service
AI in customer service: Connect to the most popular messaging channels and more

Agents can also keep track of customer conversations across multiple channels with ease. Merge a customer’s contacts from different channels into one thread so you can always access their conversation history to stay on top of things.

Integration with E-Commerce and Support CRMs integrates with over 5,000 applications, including e-commerce platforms, CRMs and third-party automation builders. Popular software like Shopify, Hubspot and Zapier are supported by, which enables businesses to manage and converse with their customers efficiently.

AI in customer service: Integrate with software that improves customer support

AI in customer service is transforming the customer support landscape, offering efficiency, continuous support and personalized interactions.

Businesses integrating AI into their strategies are creating memorable and meaningful customer experiences. Experience Conversational AI for your business firsthand by signing up for a free trial.

Further Reading

If you found this article insightful, here are a few more that will improve your customer service game:

Benjamin Steve Richard
Content Writer
Benjamin Steve Richard joined as a Content Writer in 2023. Holding a Bachelor of Laws degree from the University of London, Benjamin provides invaluable resources on messaging apps for businesses to help them leverage customer conversations successfully.
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