What comes to mind when you think of Artificial Intelligence (AI)? Sentient computers? Harrison Ford in Blade Runner? It’s not just the stuff of the silver screen, AI for call centers helps you automate time-consuming admin tasks, improve your overall performance and, most importantly, provide better customer experiences.
Why do better customer experiences matter? Because customer expectations are on the rise. According to our Moments That Matter research, poor customer experiences could be costing your business an incredible 84% of returning customers. To beat customer churn, you need to be smarter about two things: The way you resource your contact center, and the solutions you employ to combat bad experiences and set yourself apart from the competition.
That’s where AI comes in. In this blog, we’ll explore the ultimate benefits of using AI in call centers. We’ll discuss how AI is transforming contact centers, how AI works with your agents to enhance performance (not replace them), and how to leverage technology to provide unrivalled customer service.
Advanced technology in call centers is not a new phenomenon. The chances are you’re already using some kind of Interactive Voice System (IVR) as the first port of call for your customers when they pick up the phone, to get them to the right place.
AI for call centers has the power to revolutionize how customer interactions are handled. Here are just a few of the things that AI can do for your contact center:
While there are plenty of benefits to AI, it isn’t designed to replace your call center agents. It’s here to make the work they do even better. After all, it’s impossible to overlook the value of human connection. AI tools can’t replicate human sentiment and the personal touch will always remain a key differentiator in customer service.
We’ve discussed AI’s potential in transforming the contact center, now let’s take a look at the benefits. We’ve identified four key benefits of using AI in the contact center.
There are several ways in which AI can improve employee engagement – and job satisfaction – across the call center. As we’ve discussed, AI identifies peaks and troughs of call volumes, so you can forward plan how many agents are needed to meet service levels and reduce pressure. AI also identifies insights that help your teams resolve issues and upsell more efficiently, with tried-and-tested scripts, meaning more revenue.
This matters because more engaged and productive employees means lower call center attrition. Call center attrition is bad for business because it costs more than just hiring a new employee. Indirect consequences of high agent churn include:
If you’re able to improve your call center attrition rates, you can save your contact center a lot of time and money, as well as improving the overall customer experience.
One of the most effective ways to improve the customer experience is to understand which talking points led to your desired outcome. Call tracking provides customer-centric data that enables your entire call center to become better aligned with customer needs. With customer data at your fingertips, including keyword data and visibility over where calls are coming from, you can boost customer satisfaction and prevent those frustrated hang-ups.
A great example of this comes from Pendragon. They used Conversation Analytics to pinpoint every call where key terms were used, along with additional clarifiers like where in the call they were spoken, or their proximity to other terms. Thanks to AI, they were able to drive a 63% reduction in CPA, reduce unanswered calls by 30%, and minimize common friction points across their major branches by 66%.
As we’ve demonstrated, the best way to stay ahead of the competition is to provide top-notch customer experiences. AI can give your customers the right information at the right time, it can provide personalized recommendations, and it can analyse conversations at scale to help you provide improved first-call resolutions and handle calls faster.
AI can also help you master call deflection. Call deflection isn’t about reducing call volumes – although less pressure on your call center is a benefit – it’s about strategically implementing it to enhance the customer experience. Successful call deflection is all about collecting and analysing the right data, to inform your strategy and increase customer satisfaction. It makes faster and better customer service possible, by enabling customers to skip the queue and make use of other channels.
AI in the call center will help you make improvements across all your key metrics. Having the power to analyse conversations at scale to extract historic trends is a vital part of developing your customer experience strategy. Collecting and utilising call insights makes your customers happier and reduce your AHT, CPA and enhance your FCR rates.
Flight center implemented AI to great effect. Using Conversation Analytics, they set customisable goals, based on location, intent, airlines, and even specific brand words they marked as having high or low value. Using Infinity, they drove a 46% YoY increase in online phone conversion rate for their tailor-made holiday section.
AI presents opportunities for businesses looking to improve customer experiences, drive efficiencies, and create a solid sales pipeline. With Conversation Analytics, you can evolve your tactics based on real data from your customers, instead of relying on intuition. It tells you things such as:
When you put Conversation Analytics and Agent ID together, you can make your contact center run even smoother. Uncover the best calls to use for training, rapidly upskill your teams, and decrease average handling time, all while increasing conversion rates and ensuring your customers are truly satisfied.
Want to learn more about driving efficiencies and improving CX in your call center?