11 Ways How AI Will Improve Customer Experience?

How Artificial Intelligence can improve Customer Experience

At some point in our lives, we all manifested this, expecting machines to function like humans. Fast forward to 2024, here we are using modern technologies like Artificial Intelligence, and Machine Learning even for our mundane tasks. These disruptive technologies provide contemporary solutions to our modern problems. And, using AI in customer service has served as a blessing in disguise for businesses using it to transform customer experience. 

From chatbots to real-time reports, AI has proved to be the game changer in transforming customer experience. There is much more that AI in customer experience can bring to the table for businesses using it to enhance customer experience. We will find out more about it in this blog.

AI Enhancing Customer Experience:

McKinsey report suggests that artificial intelligence could contribute a remarkable $25.6 trillion to the global economy.

AI customer experience is the process of using AI technologies and algorithms to deliver a faster and more personalized user experience.

By harnessing the power of AI in customer service, businesses can swiftly analyze a large pool of customer data, such as browsing history, purchase patterns, etc. Using these data, they can craft a tailor-made experience for their audience. 

Let us discuss the other ways in which AI & customer service will foster a better customer experience.

1.Empower Self Services(ChatBot and Virtual Assistant)

Customers are getting help from AI-powered chatbots. These chatbots can handle a lot of customer questions, analyze them, and use them later to provide a highly curated customer experience. According to the Zendesk CX report 2024, 65% of businesses find the previous methods of crafting customer experience outdated. Instead, they are more inclined towards using AI for customer experience. 

2. Customer Support

With prebuilt chatbots and voice-enabled smart AI in Cx such as Alexa, and Siri, customers will be able to interact with AI just as they engage with real customer support executives.

3. Automated Assistant

The global AI Market is expected to be $60 billion by 2025. With automated assistants, customers can simply provide a voice command to Alexa, Siri, Google Home, etc, and pay bills, book movies or flight tickets, and avoid the hassle of doing it manually.

4. Real-time Insights

AI for eCommerce can share actionable insights in real-time. By analyzing how customers interact with various aspects of business and by performing deep data analysis, AI can provide valuable insights for marketing, finance customer services, and product development.

5. One-Click Answers

With chatbots, AI can provide one-click answers to some of the most common customer queries ever asked and provide instant immediate answers or service. For example, by simply typing a few words you can order food online in various food delivery apps, providing instant and unmatched convenience.

6. More Personalization

With deep data analysis, AI in customer service can predict the user’s needs, and preferences and provide them to them. For example, certain users might like to buy clothes in a particular color, so the AI will provide suggestions for the same color in the e-commerce app.

7. Makes onboarding of CX teams faster:

AI in customer service can do wonders when it comes to customer service. It excels in generating support tickets and also sets up the tonality of the blog. This serves as a solid foundation for the support agents to efficiently take up the tasks and respond timely. 

8. Automation

Sending out emails, posting on social media, and wishing customers happy birthdays and anniversaries, with AI & customer service you can create a personalized experience with your customers.

9. Provide AI-powered quality assurance:

Different agents have their way of handling customer queries. However, with AI in the picture, it evaluates the performance of the agents. AI objectively scores performance and sentiment, and points areas based on the feedback from the customers. This helps businesses know which agent requires training and which one rules the forefront. 

10. Provide special offers to customers:

AI is great at segmenting users based on criteria such as frequent buyers, demographics, purchase history, etc. Using this information, AI can help the platform recommend a special product, offers, discount codes, etc. to the customers and compel them to make the purchase. 

11. Omnichannel experience:

AI holds the capability to collect data from various sources like online stores, social media channels, mobile interactions, etc. This way it can help in aligning the customer experiences even when they switch between multiple channels.

AI Customer Experience Examples:

  1. Amazon’s Product Recommendation System: Aren’t we all already amazed by the way Amazon makes us feel special by giving us just the right product recommendation?
  2. Starbucks’ Predictive Analysis: Starbucks uses a predictive analysis tool named Deep Brew that helps in personalizing marketing messages.

AI For Customer Experience:

AI in customer experience is going to bring a disruptive change in the industry. By intelligently automating tasks, streamlining processes, and personalizing the customer journey, AI is going to change the game. 

If you are seeking help elevating the customer journey or want to level up using AI in customer service, contact us. We will assess your requirements and provide you with a personalized solution. Thank you!

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Keyur Patel
Keyur Patel
Co-Founder

Keyur Patel is the director at IT Path Solutions, where he helps businesses develop scalable applications. With his extensive experience and visionary approach, he leads the team to create futuristic solutions. Keyur Patel has exceptional leadership skills and technical expertise in Node.js, .Net, React.js, AI/ML, and PHP frameworks. His dedication to driving digital transformation makes him an invaluable asset to the company.