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enhance contact center productivity using automation

How To Improve Contact Center Productivity Using Automation?

Akshay

30 August 2022

Your firm will be more successful and lucrative if it is more efficient. Nowhere is this more important than in your call center. Call center automation guarantees that customers get consistent, accurate, and compliant service. It employs modern technology to reduce customer attrition and irritation while expanding revenue potential. Here's how contact center and call center automation may enhance your organization's performance on practically every level, including providing better client experiences at a lesser cost.

Intelligent security systems automatically lock the door at a particular time of day, and energy monitoring systems reduce energy usage based on how you've used energy in the past. Or even intelligent plugs that let you control the microwave and oven with the sound of your voicings that sounded like science fiction decades ago are now part of our everyday lives. Artificial intelligence (AI) and automation are altering how we live and simplifying daily chores, allowing us to focus on what is essential.

Automating contact center duties aims to save agents time and effort while enabling them to concentrate on the client. Agents may give better service to consumers and build meaningful connections that drive retention and loyalty if they spend less time on essential activities.

Contents:

1. What exactly is Call Center Automation?

2. How have Contact Centers evolved?

3. How to measure the productivity of a Call Center?

4. Why is Call Center Automation important to your business?

5. Critical metrics you should consider measuring your Contact Center

6. Contact Center automation to enhance customer service

 

The instances of how contact center automation boosts productivity and improves agent and customer experience are as follows:

What exactly is Call Center Automation?

For decades, call center automation technologies have been available. PABXs (private automated business exchanges) employed automatic call distributor (ACD) technology to handle many clients’ calls in the 1960s. The technology has matured enough to allocate calls to agents based on an algorithm rather than a human operator.

Now fast forward to the present. While agents are still important in delivering superior customer service, they operate from different locations and are just one component of a company's customer service strategy. Self-service portals, chatbots, virtual assistants, and other technologies may all help improve contact center operations.

How have Contact Centers evolved?

New technical breakthroughs have influenced a variety of businesses. Contact centers are no exception. To fulfill the expanding expectations of their clients, contact centers now depend on various products and services like customer relationship management (CRM) systems, unified communication technology, and sophisticated types of front office automation. Contact center employees may now provide omnichannel client experiences spanning email, SMS, social media, and e-commerce platforms beyond traditional phone assistance.

How to measure the productivity of a Call Center?

Setting relevant key performance indicators (KPIs) and analyzing productivity metrics against those objectives is an excellent method of understanding how your contact center is functioning.

Managers may use a variety of techniques to assess agent productivity. Maintaining a core emphasis on customer experience is the most effective since it ultimately defines contact center success or failure.

Empathy is critical to the whole consumer experience. When an agent demonstrates compassion, a call elevates to a memorable, above-and-beyond encounter. Everyone recalls a customer service interaction in which the person on the other end of the phone shared their anger and knew what they were going through. When consumers believe your representative didn't care or seemed uninterested, they will likely go on to the next.

Empathy is a difficult statistic to quantify. Your QA metrics, on the other hand, should assess how successful your agents are:

Agents that go above and beyond to address an issue generally provide the consumer with a "wow" experience. And all of this goodwill typically has a beneficial knock-on effect.

Why is Call Center Automation important to your business?

Running a call center is expensive, and the management is always looking at the performance indicators of the call center agents. Customer service automation improves processes in the contact center by:

Error reduction

Workflow automation eliminates the need for repetitive data input. They also promote communication across various business tools and guarantee that information is consistent and up to date. It increases the efficiency with which the information is accessed, resulting in more fulfilling client encounters.

Increasing the efficiency of work

Agents do considerably more than respond to client inquiries. After-hours work might consume a significant chunk of an agent's working day. Reporting, updating tickets, and sending emails are time-consuming and prone to human mistakes. Automation relieves agents of these responsibilities, allowing them to move on to the following consumer more rapidly.

Keeping everyone up to date

Automated reminders, updates, and alerts provide more insight into the contact center's operation and keep agents and supervisors informed and on track.

Critical metrics you should consider measuring your Contact Center:

1. Average Handling Time (AHT)

The average handling time is the time it takes an agent to answer a call and then disconnect it. Identifying the optimal AHT in your contact center might be challenging since AHT cannot be too long or too short.

2. After Call Work (ACW)

After Call Work Time (wrap time) is the time, it takes an agent to enter information and take notes after an encounter has ended. ACW Time must be kept low for a call center to remain productive.

3. Call Abandonment Rate (ACR)

The abandon call rate is the proportion of callers that hang up before speaking with an agent. A high ACR might indicate fewer inbound channels/agents or sluggish scheduling and delegation mechanism.

4. First Call Resolution (FCR)

The number of times an agent was able to resolve a customer's query at the first encounter is known as the first call resolution. FCR may be a solid indicator for determining the effectiveness of your agents.

5. Satisfaction of Customers (CSAT)

Customer satisfaction may expose both your agents' strengths and weaknesses. The CSAT score reflects the quality of work your contact center staff performed.

Contact Center automation to enhance customer service:

Omnichannel encounters:

Customers may obtain the answers they need where, when, and how they want them with an omnichannel experience. Customers also demand similar experiences across all channels, so they don't have to repeat themselves while switching between agents or platforms.

Technology for quality assurance:

Always choose technology that allows you to easily measure critical KPIs to enhance sales, minimize churn, and improve agent effectiveness and attrition. The capacity to identify trends and patterns provides real-time knowledge that aids decision-making.

Self-service solutions:

Most consumers say they desire the ability to troubleshoot their product or service concerns. Customers may use an online knowledge library to obtain answers without speaking with a live representative. Chatbots and Voice bots play a significant role in self-service automation.

Speech and text analytics:

These are critical contact center solution technologies that may help you better analyze client interactions. Text has become an increasingly popular means for clients to contact businesses, whether via social media, email, or live chat. Both solutions enable you to evaluate and monitor conversations regardless of where they occur.

Predictive analytics:

Predictive analytics assists managers in analyzing interactions to determine what makes them successful or unsuccessful from the consumer's perspective. In-depth evaluations aid in the development of better procedures and the prediction of future requirements. For example, you may use the previous Christmas season's call traffic, average handling time, and customer satisfaction to better predict the resources you'll require for the next season.

Workforce management and planning improvement:

Variations in call volume might be the Achilles' heel of contact center productivity. You can't determine with 100% certainty how many calls come into contact centers at any particular time of day, week, or month. However, you can forecast how many agents you will need to manage the projected amounts of contacts based on historical data, market insights, and other accessible information.

Automating manual chores that are repetitious:

Agents have a lot on their plates. Why not automate some of the manual procedures that are more repetitive? It not only frees up agents to handle more pressing matters but also dramatically reduces mistakes and ensures that the information in your business tools is constantly up to date. Contact center solution with automated tasks may help you streamline contact center operations while also increasing agent productivity and team effectiveness. A good example is automating the routing of the ticket based on email content. The AI engine can classify the content and identify the relevant department that it need to be assigned to.

Analytics and reporting on data:

A well-run contact or call center requires data analytics and reporting. Instead of depending on supervisors to monitor agent performance and customer interactions, you can utilize powerful, real-time analytics to make fast and easy adjustments.

Improves Internal communication:

A company's success is how effectively its people collaborate. However, communication across departments is not always straightforward, which increases the average waiting time in the contact center. Since agents often have to put consumers on hold to contact the sales, billing, or technical departments.

Increasing the rate of first-call resolution:

FCR refers to appropriately resolving the customer's concerns the first time they contact. FCR significantly affects agent and team productivity because callers who fix their problems on the first call are less likely to call back about the same problem. Fewer calls mean more time for agents to focus on what matters. The calls are also less likely to be transferred to a manager or a higher level.

Cloud computing software:

Over the last year, cloud-based software has fully come of age. Cloud-based solutions are not only less expensive, but they also provide the extra flexibility that a remote workforce needs. Agents have a better work/life balance, and call centers are no longer restricted to a particular location.

Gives agents contextually appropriate information:

There is no more significant drain on productivity than having to repeatedly hunt through various systems, contact engineers, call in a manager, or ask a coworker to get an answer to a frequent query. To tackle this, businesses are leveraging an AI-powered knowledge base in conjunction with virtual agent assistants to provide contextual and relevant information to agents, allowing them to handle client concerns more quickly and easily.

Conclusion

Several approaches enhance the operation of your organization's contact center, ranging from omnichannel contact center support to data analytics and self-service technologies. The objective is to install contact center solution technology that provides clients with the desired experience.

People expect their business interactions to be simple, fast, and enjoyable. They don't care whether you utilize program A or B or if you have automated processes in place or not. They will notice, though, if your representative takes too long to discover the answer to their query or if the information offered is inconsistent across channels.

 

Call center automation relieves agents' workload by minimizing mistakes and simplifying procedures, allowing them to concentrate on developing meaningful connections with customers rather than following rules and protocols.

 

 

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