As we progress towards a digital world the relationship between companies and customers has changed over the last few years. With expectations for customers more than ever before, businesses have to come up with ways to engage with their customers and improve their processes , services effectiveness and quality. It's in this context that many organizations are beginning to board the AI train to enhance their customer service by offering more intelligent customer experiences and process automation.

Artificial Intelligence Cases to Improve Customer Service

If you are looking for artificial intelligence solutions you're not sure where or where to start Here's a list of some common uses where companies employ AI Helpdesk. They include improving customer service as well as delivering modern, engaging applications.

Chatbots

Chatbots are an excellent method of providing a relaxed engagement that fits your customer's busy schedules and one of the most popular uses of AI in customer service. Chatbots can:

Scale the first line of support

Rather than having individuals respond to very specific requests businesses are making use of future of IT support to respond to the most frequently asked user questions and this is reducing the amount of traffic that goes to other support channels.

Meet your customers

Customers expect immediate and intuitive experiences. They don't want to submit a form and submit a request while asking for simple information. Chatbots allow you to give feedback to your customers in a conversational manner.

Support employees

A lot of the information your employees require to perform their work can be found in knowledge bases and Q&A formats. Chatbots are able to help employees to communicate details more efficiently. They can be able to query and ask questions naturally.

Language Evaluation

Language analysis tools allow collaborators to collect important information from customer feedback and from that information the information, modify their communications. Language analysis is a great asset to improve the experience of your call center. With it, your agents can determine whether the customer they're speaking to is satisfied or not, and alter their tone and manner of speaking to match.

Object Detection

Object detection tools allow you to automate tasks that involve image recognition. If you're a Revolut user, you may have encountered this scenario.

Imagine a bank or insurance institution that wants to accelerate and improve the experience of new customers when they join. Your customers are able to upload a picture of their ID and take their own selfie. This will automatically match the photo to the ID and verify the authenticity of the user, eliminating the tedious process of going to the counter.

Optical Character Recognition, (OCR).

Document processing automation makes use of optical character recognition. With OCR, you can make your systems look up a document such as an invoice or order, extract relevant information and automatically populate the right fields in your system. It is possible to handle documents using digital technology and speed and allow you to get information quicker from papers.

Machine Learning Models

Machine learning models are developed and integrated into your apps. This allows you to design and improve predictive analytics that can aid in making better business decisions. There are several use cases that machine learning can be used for, most popular being:

Automatization of approval decisions, risk analysis, or business result;

It is possible to categorize tickets to help with triaging support, assigning the proper team and suggesting the best solution.

Predict sales discounts, product demand, customer support demand, and available stock.