Artificial Intelligence

What Role Does Artificial Intelligence Play in Enhancing Customer Service Engagement?

Organization leaders know how important is customer service to the success of business. They look for ways to provide amazing customer experience. 

Studies shows that a larger percentage of consumers expect good customer service. It is proven that delivering better experiences resulted in increased customer satisfaction and revenue. 

To keep customer expectations high, service teams must have the tools to provide immediate service, respond, and resolve issues. AI enabled service is fast becoming the norm for improved and personalized experience. This led organizations to turn to AI (artificial intelligence) to bridge the gap in the customer service. 

Organizations are adopting technology solutions like Microsoft Dynamics 365 to give reliable experience and service. Microsoft Dynamics 365 Customer Service, Customer Insights and Microsoft AI services becomes relevant here. 

AI capabilities enable you to have a in-depth understanding of your customers and help provide the kind of support they expect for. If you tend to take advantage of AI in customer services, it would be better to embrace Microsoft Dynamics 365 Customer Service. The benefit is that you can leverage the advancement in Microsoft AI to deliver the best experience and service possible to customers. 

Expert help from Microsoft Gold Partners is needed. They would have the skills to implement Dynamics 365 and provide support and training as per business needs. 

If your business is in the Middle East, European, African or Asian countries, rely on Microsoft Dynamics 365 Partners in UAE, Saudi Arabia, Kuwait, Qatar, Oman, Bahrain, Jordan, Kenya, Germany, Canada, Pakistan, and India.

Here we delve into the role of AI in customer service

Fast response times

Customers queries will be quickly answered via AI-powered chatbots and virtual gents. Instead of contacting a customer service agent customers can use AI chatbots and virtual agents to get answers for their queries. This will help them avoid the long wait to connect with a customer service agent.

The vital part is that the virtual agents you deploy must have the relevant information that customers may seek. With quick response times, your customers will be more satisfied and retention rate will increase. 

Understand customers

AI automatically understand what your customer wants. AI provides you insights into their purchasing trend, interested products, and their preferences. Customer service agents can use this information to provide personal and best service and experience, predict customer needs and help them make better buying decisions. 

Improved resource management

While virtual agents and chatbots simplify service, agents can spend their time on more complex issues that require human interaction. This helps to improve agent productivity and business growth. Chatbots will automatically escalate customer issues to human experts when chatbots cannot handle queries.

Manage large call volumes

Human experts have limitations to handle call volumes per day. When there is a surge in the call volume, pressure increases on service agents, and this leads to employee tiredness and attrition. This is a bad sign for your organization. AI can analyze large data and draws 

By directing a certain amount of call volumes to AI-powered chatbots and virtual agents, support for customer service can be improved. This improves the level of your customer service, reduce call waiting times and operational costs. 

More customized interactions

AI provides in-depth information about each customer, which enables customer agents to provide personalized services they expect making them more satisfied. AI can suggest relevant recommendations that allows agents to resolve customer requests based on customer interests. Personalized interactions increase brand trust and lead to increased growth. 

Proactive Service

Evaluating customer interactions kills time and requires various teams and resources. Natural Language Processing, an AI solution assist you on this. With NLP, employees can easily interpret customer’s language and understand what issues they are facing. Service teams can deliver a proactive service that resolve customer issues in quick time. 

Enable agents to proceed with best actions

AI assists service teams to take the next best action. Prompt actions based on previous customer interaction history helps service teams to solve issues before it becomes critical. 

Predictive insights

Predictive insights use your business data and analytics to gain insights into customer behavior and trends. AI with predictive insights helps to improve customer relationship by providing customers that is important to them. 

Improve your service with Microsoft Dynamics 365 Customer Service

When you decide to personalize customer engagement with an AI-powered solution, Microsoft Dynamics 365 customer service is the apt choice. 

Dynamics 365 Customer Service with AI enable you to deliver high-quality services and experiences to customers. For example, you can use AI-powered virtual agents for superior customer service. AI- recommendations help agents to resolve customer issues immediately by providing access to right information. 

You can expand D365 Customer Service capabilities through integration. Integrate the solution with Dynamics 365 Customer Insights, Microsoft Power Platform (Power BI, Power Automate, Power Apps and Power Virtual Agents), Microsoft 365 and other third-party systems. 

Microsoft Dynamics 365 Customer Insights is an AI application that provides a comprehensive view of customers and helps to provide personalized service. With this add-on, your teams can predict customer intent and deliver services as they expect, helping to accelerate customer satisfaction and trust. 

To tap into the AI capabilities of Dynamics 365, team up with the leading Microsoft Dynamics 365 Experts. So, get professional guidance from leading Microsoft Dynamics 365 Partners in UAE, Saudi Arabia, Kuwait, Qatar, Oman, Bahrain, Jordan, Kenya, Canada, Germany, Pakistan, and India. 

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