Wit Jakuczun,

Optimizing Customer Experience with an AI-Powered Contact Center

Unlock the potential of AI contact centers to maximize customer satisfaction. Discover the benefits of AI-driven customer engagement.

Unlock the potential of AI contact centers to maximize customer satisfaction. Discover the benefits of AI-driven customer engagement.

Does your organization have a contact center at the core of its customer engagement model? The reality is that most large enterprises these days do and that one moment of customer contact is a critical opportunity (and risk) for making the right impression, maximizing customer experience, and turning issues and escalations into lifetime customers.

So, how does your organization respond to shifting volumes of people making inquiries at your contact center? If you’re handling the work internally, you know it can be challenging to predict how large the workforce needs to be, how to manage turnover, and how to make sure your front line has the right expertise with so many variables at play.

From fluctuating seasonal demand, changes in consumer sentiment, and the shifting state of the economy, your contact center capacity will naturally need to adjust. For example, one day, you may need triple the capacity, while on another day, maybe half of the usual calls roll in.

With uncertainty in personnel needs and a company-wide mandate to control costs, it makes sense to leverage AI to optimize our resources and expertise to meet your customer needs perfectly.

Artificial Intelligence as a Tool to Augment the Capabilities of Human Agents

To maximize customer experience, you can’t turn to AI for everything, but you can leverage it to help manage volume and automation. For example, chatbots are software-powered tools that can process natural speech and text to understand customer intent and answer basic questions tailored to address the specific nature of their requests. This is a great way to address your very front line to gather inbound request information and begin to tailor the ideal resolution or sales path for your customers. Using artificial intelligence for contact center optimization may not include a chatbot that speaks autonomously with customers, but it can be a great way to augment your best agents.

As soon as a customer arrives, the AI engine can aggregate all the historical details about this person’s interactions with the company. This helps the assigned agent quickly see what the call potentially is about and even gauge customer sentiment before answering.

Routing and triaging inbound contacts with AI will save time and optimize the experience. Rather than having people shuttling callers to different agents until the right one responds, the AI engine can take care of this. As CIO noted, “Contact center managers spend hours developing complex call routing algorithms to route conversations to the “best” agent.” It explained that contact centers “have AI-based call routing capabilities where the machines will put those routing plans together for the company.”

Chatbots Engage With Customers

Chatbots Engage With Customers

Many companies have started working with artificial intelligence solutions via Google Cloud. With its Contact Center AI “Agent Assist” feature, Google Cloud “empowers human agents with continuous support during their calls and chats by identifying intent and providing real-time, step-by-step assistance.”

Identifying callers before they speak to a human is an excellent use of AI-fueled chatbots in the contact center. The phone number they’re calling from identifies many individuals. You can also use voice biometrics to identify a previously identified customer based on a voice recording.

Of course, very simple chatbot interactions to answer inquiries about hours of operation, to get directions, and other mundane tasks are eminently taken care of by AI, freeing humans to deal with more complicated inquiries and unique problems the software isn’t yet programmed to address.

Predicting what customers want and placing their conversations in the historical context of previous interactions with the company is a high priority for AI systems for use in contact centers. To that end, UJET describes its contact center AI solution as a way to boost efficiency with predictive, contextual routing of calls. It gives customers a unified experience whether interacting with marketing, sales or support.

Working With Enormous Troves of Data

People are not well-equipped to process and analyze huge amounts of data, but being able to parse information can prove enormously helpful in supporting contact center operations. Artificial intelligence is well suited for crunching through big data sets in near real-time to help ensure your customer gets the right agent equipped with the correct information at the right time. This, of course, leads to happier customers and faster resolution times which directly impacts the bottom line.

Customer Think gave an example of a company that provides online learning courses, and it is now endeavoring to finalize its workforce schedule for the coming year. That’s a scenario where the company typically would be either understaffed or overstaffed, and neither outcome is desirable.

“Even allowing for the usual estimates – a spike in calls when exam results come out, and again before the term starts, tracking trends can be difficult. AI could monitor the data sets of the past five years of calls, looking at call length, first-tier resolution rates, and other metrics.” The AI service produces a more accurate trend map that helps you schedule the team more efficiently.

Real-Time Monitoring

Sometimes artificial intelligence in the contact center is used for the analysis of workers, seeing how they are doing at interacting with customers. These would be humans doing complex tasks other than basic chatbot responses. An AI system can monitor all interactions between agents and customers and not only provide insights into how those interactions are going but also feed the agent with real-time expertise to address the unfolding situation in customer interaction.

This allows for much greater insight than you could achieve by having human supervisors randomly listening in on calls and goes way beyond any traditional training you can provide to your agents. In this sense, AI would become an essential aspect of your onboarding and training program. As the artificial intelligence listens in, it detects mistakes, such as a worker going off-script.

Detecting errors early in training is ideal because otherwise, workers form bad habits that are harder to eliminate later. And correcting an employee for a minor issue noticed by the AI makes for smoother operations when compared to having to give a worker a severe warning over an ongoing problem that you’ve never discussed before.

Harnessing AI to Give Your Organization Unlimited Call Center Capability

AI Contact Centers: Elevating Customer Satisfaction

It’s becoming easier and more accessible than ever to deploy artificial intelligence in a contact center. Companies like Google and UJET enable every sized company to deploy cutting-edge technology to maximize their contact center operations and experience and deploy a solution that was previously only available to the largest companies in the world.

Specialized software can pick up incoming calls, no matter how many of them come in, 24/7/365, to deal with the most basic and frequently asked questions.

More sophisticated AI systems, with proper training, can address even more inquiries on your behalf. Of course, a major attraction to using AI is how it serves your human agents to predict caller needs and answer their questions with historical context based on previous interactions, which the AI serves up before they even start talking.

If your organization lacks expertise in AI and you are interested in learning more about how to make your AI contact center, please get in touch with F33 today.

Sources

Behind F33
Greg Bigos, CEO

Greg Bigos is the CEO of F33, bringing over decades of experience in delivering ERP solutions for manufacturing, logistics, and retail industries.



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Behind F33
Wit Jakuczun, CTO

Wit Jakuczun is the CTO/Chief Data Science Officer at F33 with a PhD in Applied Mathematics and over 18 years of experience in mathematical modeling, data analysis, and simulations.

Contact Wit

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