10 Ways Artificial Intelligence Can Improve Customer Service

ai for customer service

No need to find your tracking number, provide your email, or explain the details of your purchase, it already has all that information and knows exactly what to do. Customer expectations are higher than ever — 72% of consumers say they will remain loyal to companies that provide faster service. And 78% of service agents say it’s difficult to balance speed and quality, up from 63% since 2020. All of these pressures have led to a turnover rate of 19% in service organizations. As technology continues to evolve, we’re seeing new ways that AI can enhance the customer experience.

  • For example, AI-powered Sentiment Analysis of a customer survey could uncover that users are ‘dissatisfied’ with one of your core features.
  • For businesses with global customer bases, the ability to offer multilingual support is, like my beloved Christmas breakfast burrito, massive.
  • There are also things like skills-based routing—which isn’t technically AI—but it can help you make sure your newest agents aren’t the first ones to get those difficult phone calls.
  • Another one of Balto’s interesting features is the Real-Time Notetaker which uses artificial intelligence to automatically transcribe calls in real time.
  • Smart bots can detect keywords from the ticket, and suggest articles from your knowledge base as solutions.
  • We’re partnered with best-in-class voice assistant provider, PolyAI, to offer truly omnichannel support coverage.

Excellent client service BPO (business process outsourcers) can help your firm gain such loyalty while also saving you money. As customers’ needs change, organizations that are committed to providing the highest level of service must combine innovative methods of support to provide undeniable reliability and adaptability. Consumers expect a high level of maturity in the way businesses present service solutions in this technologically advanced day. Chatbots can handle password reset requests from customers by verifying their identity using various authentication methods, such as email verification, phone number verification, or security questions. The chatbot can then initiate the password reset process and guide customers through the necessary steps to create a new password. The AI powered chatbots can also provide a summary of the order and request confirmation from the customer.

Agent assist

They learn from every customer interaction, evolving their understanding of issues and refining their problem-solving aptitude. As a result, AI tools can help you predict customer needs or problems even before they surface, transforming reactive customer support into a more proactive, anticipatory service. Our customer service solutions powered by conversational AI can help you deliver an efficient, 24/7 experience  to your customers. Get in touch with one of our specialists to further discuss how they can help your business. Bold360 can respond accurately and timely to several conversations at once because of its natural language processing capabilities. Bold360 is flexible and can be adapted to fit any existing infrastructure or corporate aesthetic.

ai for customer service

QuickReplai can alleviate these issues with AI features that make customer responses faster and stress-free. If you want to be a customer service pro, you need to listen to your customers, and Zigpoll can help you hear them loud and clear. This customer feedback and survey platform enables you to collect information from your current and potential customers and use it to grow your business.

For more tips on customer relations

This handy app takes phone calls for you and handles them based on the instructions you provide. You’ll be notified via the ZenCall app, text message, or email as soon as the AI agent answers a call. The app transcribes the calls into text so you can read them at your convenience.

ai for customer service

They become brand advocates and boost the reputation of your business—good testimonials attract more customers and lead to higher revenues. It all depends on your needs and processes, and your desired use for AI customer support solutions. Many businesses currently employ chatbots to answer basic queries using information gathered from internal systems. This includes dates, owed balances, order status, and more. Just like analyzing the sentiment of tickets, you can also analyze pieces of text—such as customer support queries and competitor reviews. You just need to set up the tags you want the AI model to use when analyzing and categorizing your text—as demonstrated below.

Enhance customer support with AI

Conversational AI technology uses natural language understanding (NLU) to detect a customer’s native language and automatically translate the conversation; AI enhances multilingual support capabilities. Rhythm Energy, a renewable energy company, uses bots to respond to customers quickly and reduce escalations to the support team. With Zendesk AI, Rhythm Energy deflected 46% more tickets and reduced escalations by 50%.

ai for customer service

Text analytics and natural language processing (NLP) break through data silos and retrieve specific answers to your questions. Boost customer service experiences with unsupervised AI that learns from each interaction to provide accurate and consistent responses. AiseraGPT employs enterprise LLMs in areas like High-Tech, Retail, Financial Services, Pharma healthcare, and more, adapting to your environment for contextual and relevant responses. One of the most common uses of Generative AI in customer service is chatbots. Businesses already use chatbots of varying complexity to handle routine questions such as delivery dates, balance owed, order status, or anything else derived from internal systems. Generative AI can increase productivity and efficiency by reducing the load on customer service teams.

AI tools like Sprout analyze tons of social listening data in minutes so you can make data-driven decisions based on the conversations happening around your brand and industry. For example, customer care teams can use social listening to get ahead of product defects or service issues if they see similar complaints across social. AI-powered customer support enables you to develop deeper insights and build a better user experience. This leads to improving online customer experience, retention rates, brand image, preventive help, and even the generation of revenue. In fact, AI is expected to boost company productivity by up to 40% by 2035. The future of AI in customer service may still include chatbots, but this technology has a lot more to offer in 2023.

  • In the future, integrating AI with augmented and virtual technologies, machine learning, and natural language processing will enable customized, context-aware interactions.
  • Although Goldman Sachs says AI could replace the equivalent of 300 million full-time jobs, most experts agree that customer service jobs will be augmented and automated but not replaced.
  • There are plenty of advanced tools, and many systems are also able to learn from each conversation they have with visitors.
  • When choosing AI software, make sure to look for a solution that can help solve these challenges for your team.
  • AI enables you to collect large amounts of information quickly and effortlessly.
  • Beyond answering customer questions, AI software cuts costs, generates revenue, and promotes better business decisions.

When companies redesign customer service jobs with these new tasks in mind, they can create a more engaging work environment and attract and retain great talent more easily. Although Goldman Sachs says AI could replace the equivalent of 300 million full-time jobs, most experts agree that customer service jobs will be augmented and automated but not replaced. Harness the power of  3,000+ pre-built and third-party LLM-powered AI workflows to auto-resolve incoming requests. The AI workflows can be triggered conversationally through system events, webhooks, schedules, and event data posted from other systems.

How can AI be used in customer service?

Hiver has an AI Bot named Harvey that helps to enhance the efficiency of customer support teams. Harvey employs Natural Language Processing (NLP) to provide intelligent insights into customer conversations. All in all, AI customer service is destined to become the standard in the business world. It improves customer support in a multitude of ways, cuts costs, and makes the work of your support agents more efficient. Most importantly, it boosts customer satisfaction with the power of state-of-the-art technology.


AI and ML-powered text classification automatically categorizes text based on past associations. Use customer service software that offers seamless AI integration, ensuring compatibility with other tools and allowing for iterative deployments. In customer support, it is important to track and measure metrics that matter to you and your team. While insights are necessary to iron out workflows and improve the performance of your team, running a data query and analyzing the data can get quite challenging. Often, once a customer’s issue is resolved, they usually follow up with a thank-you note. Not only does this affect your support metrics, closing all these tickets also eats into your team’s time.

Agents can use as many tools as possible to help them bring a ticket to resolution efficiently, and AI can expand that toolbelt dramatically. By synthesizing data based on factors like ticket type, past resolution processes across team members, and even customer interaction history, AI can automate action recommendations to agents. These measures don’t solve anything for customers, but they go a long way in setting expectations and keeping them satisfied. With the right combination of both human and machine-driven customer support, businesses can provide a better customer experience, reduce costs, and build stronger relationships with their customers. Freddy AI, the core of Freshdesk’s AI service, constantly learns from past tickets and resolutions. This continuous learning helps suggest relevant responses to fresh customer queries, and speed up resolution time.

For example, online travel agencies Priceline and Booking.com are expanding their customer service offerings to include AI chatbot, Penny, in collaboration with ChatGPT. The chatbot is accessible as a 24/7 concierge, helps customers complete bookings and acts as a local guide to enhance guest experience. From trending topics to competitor insights, social media listening offers you actionable insights to improve your customer service across channels.

Interacting with AI can sometimes feel impersonal and robotic to customers due to dealing with computerized business messaging, also resulting in a lack of emotional connection. This may not meet their desire for a human touch in their business relationship. Did you know that today you can chat with some businesses anytime as an AI functions 24/7? Because of this, AI chatbots are like friendly robots that can help you anytime, even when the office is closed. You need to adapt as quickly as possible a solution that will help you speed up and optimize your customer support workload without sacrificing customer satisfaction.

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Of course, as you go, you need to collect feedback, analyze your tool’s performance, and continuously improve it. It’s even easier to get confused about all things this technology can do for your business in particular. However, once you’ve connected the dots, the benefits are extremely tempting. TA Digital is the only global boutique agency that delivers the “best of both worlds” to clients seeking to achieve organizational success through digital transformation.

ai for customer service

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