How can businesses use AI to create better customer experiences?

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By Nelson Ikechukwu Nworie

Artificial Intelligence (AI) is the new frontier, and it isn’t surprising why. Businesses are now looking for ways to improve their customer experience, and AI is certainly one way to do it. Whether you’re a startup looking to get off the ground, or a more established company looking to make your business more efficient, AI is something that should be on your radar. AI has provided more opportunities for businesses to create a better customer experience.

Here are just a few ways businesses can use AI to create better customer experiences.

Understanding the user’s intent

AI can understand the user’s intent by analysing the user’s typing, facial expressions, and voice. Comprehending what the user is looking for is essential to many applications. Machine learning has been a massive boon to these programs, allowing computers to imitate how humans think. These machines can create logical conclusions based on vast amounts of data, which is extremely valuable. This ability enables devices to have general intelligence.

AI can identify the user’s needs by using voice

AI can use voice recognition to identify the user’s needs. The system will ask the user what they want and then provide the best solution.

Apple’s Siri is one example of an AI assistant in this category. It’s also getting better with each update. While it’s easy to see Siri has a lot of room to grow and become even more helpful, there’s one area where it’s already ahead of the game: understanding the user’s voice.

On the surface, this seems like a simple feature. But the amount of work that goes into making an AI assistant that can easily interpret what the user says is immense. Take Amazon’s Alexa, for example. Alexa is one of the most popular assistants, but it is known to have some trouble understanding what the user says.

Using AI to predict the user’s next move based on actions

AI can use the user’s actions to predict their next move by analysing the user’s behaviour and the data. It can use this information to predict what the user will do and use this information to adjust its ‘own’ behaviour. For example, if the user is looking for a specific item, AI can predict what they are looking for by observing their previous searches.

Using AI intelligence to recreate user activity

AI can learn from our actions and then mimic those actions. The AI can remember past actions via a web browser extension or app with the user’s permission. It will then predict what the user will do next by looking at the browser history and doing those actions. For example, it may expect that the user is going to Google “red sweater,” so it will open a Google search to find red sweaters for the user to buy. By doing this, the user’s time can be spared doing tedious tasks.

AI-powered interactions provide better user experience

AI-powered interactions can provide better experiences for customers by using the data gathered to generate the best possible experience for them automatically. For example, if a customer has a history of returning products, they will be presented with the option to return the product when they open it. Another example is if a customer is looking for a specific product, the system will recommend similar products.

The AI-powered interactions that provide better experiences can learn from their mistakes and adjust accordingly. This is a common trait among many of the AI interactions that are being developed.

In conclusion, AI has brought a new way for businesses to make their customers happy. So far, only a few brands have recognised the power of AI to create a better experience for the customer, but it’s crucial to keep an eye on the developments within the AI industry.


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