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Contact Center Challenges

The Significance of the Top Challenges Contact Centers Face in 2024

Dhivakar Aridoss

Dhivakar Aridoss

Marketing Head

CallMiner’s CX landscape report 2024 reported the following findings on the state of contact centers:

  • 39% have mentioned understanding customer vulnerability as a challenge
  • 37% mentioned combating customer service rep disengagement and lack of productivity as a challenge
  • 32% said increased customer impatience as a challenge
  • 45% strongly agree that they want their organization to do more with fewer resources
  • Nearly half believe AI is key to optimizing CX.

CallMiner surveyed 700 contact center and customer experience leaders across the UK, US, Republic of Ireland, South Africa, France, and Germany.

Globally, this isn’t going to be too different.

Let us try to understand the significance of these findings.

Understanding Customer Vulnerability

Imagine a customer who has recently lost their job and is struggling financially. They contacted a utility company to request an extension of their bill payment.

The customer service representative’s ability to understand the customer’s vulnerable situation and provide empathetic assistance is crucial.

Failing to do so might result in frustration and dissatisfaction, potentially leading to the customer switching to a competitor.

Combating Customer Service Rep Disengagement and Lack of Productivity

A customer service representative might be dealing with high call volumes and repetitive inquiries in a busy contact center.

If they become disengaged or lack productivity, it can lead to long wait times for customers, increased frustration, and decreased service quality.

To combat this, contact centers must implement employee engagement initiatives, offer regular training, and optimize processes to enhance efficiency.

Increased Customer Impatience

In the age of instant gratification, customers have come to expect quick and efficient service.

Suppose a customer contacts an e-commerce company with a product issue and experiences lengthy hold times or a slow response through live chat. In that case, their impatience may lead to the abandonment of the interaction.

An online shopper who encounters a delay in addressing a delivery problem might opt for a competitor with faster and more responsive customer support.

Doing More With Fewer Resources

In a customer support center, the organization may face budget constraints that limit hiring additional customer support representatives.

Employees may strongly agree with the need to do more with fewer resources to meet growing customer demands.

In this case, the company could invest in AI-powered chatbots to handle routine inquiries, freeing human agents to focus on complex customer issues and provide better overall service.

AI Is Key to Optimizing CX

Let us look at some examples.

Online Retail

An online retail company employs AI algorithms to analyze customer browsing and purchase history.

This will allow them to offer personalized product recommendations – customers receive suggestions for items they’re likely interested in based on their purchase behavior.

This makes it more convenient and engaging for the shoppers.


A telecommunications company uses AI-driven chatbots to provide 24/7 customer support.

When customers have questions or issues, they can interact with the chatbot, which uses natural language processing to understand and address their concerns.

The instant availability of support enhances the customers’ experience by providing quick and efficient assistance.


A healthcare provider implements AI-powered virtual assistants to help patients schedule appointments, access medical records, and receive answers to common health questions.

These virtual assistants can offer immediate support, reduce wait times, and empower patients to take control of their healthcare, thereby improving the overall patient experience.

Besides, it would be available 24/7.


A streaming media service uses AI to analyze user preferences and viewing habits.

As a result, it provides tailored content recommendations to subscribers, increasing user engagement and satisfaction.

This personalization ensures that customers find content that aligns with their interests, enhancing their viewing experience.

These are some known examples of AI usage in enhancing customer experience. There are many other use cases for which AI can be effectively used.

In today’s customer-centric business landscape, contact centers play a pivotal role in delivering exceptional customer experiences.

CallMiner’s survey has shed some light on the challenges and trends in contact centers, emphasizing the critical importance of adapting to ever-evolving customer experiences.

The survey findings underscore the following key points:

  1. Contact centers must prioritize understanding and meeting the changing demands to ensure customer satisfaction and loyalty.
  2. Employee burnout should be considered, and appropriate engagement and training initiatives must be undertaken.
  3. Agility is the name of the game in customer experience
  4. Technology as an enabler and empowering agents to do more with less should be the key
  5. AI has a definitive role to play in bettering CX.

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