If you’re running a call center, you know that prompt, efficient, courteous customer service is the cornerstone of success. After all, you’ve likely spent your share of time fielding calls from irate customers frustrated by clunky interactive voice response (IVR) systems that transferred them to an inexperienced agent who didn’t solve their problem.
Luckily, there is a better way.
I recently worked on a project set to revolutionize IVR using AI to intuitively detect the emotional state of callers and use that information to improve the call center experience. Simply put, the tool analyzes a caller’s mood, and then implements smart call routing to ensure ideal agent matching.
Needless to say, there is much to be gleaned from assessing and responding to a caller’s emotional state. A technology that can “read” emotional levels and use that assessment to transfer the call to an agent with an advanced skill set to better handle that emotional state is next-step responsiveness.
I have long maintained that most callers will visit a website of a company first; and then call customer service if their answer is not on the site’s FAQs, their issue is very specific, or their level of aggravation is already heightened. A technology that picks up on elevated emotions and adjusts the level of customer care to meet that emotion is innovative and extremely useful in nurturing and maintaining the customer relationship.
How valuable would it be if a call center could analyze, evaluate and pinpoint the caller’s emotional level before they reach a live agent? And to use that information to diffuse, reassure and ultimately retain that customer?
That’s where Mezaaj.ai comes in.
How a *caller sounds*; not what they *say*
Based in Silicon Valley’s Palo Alto, Mezaaj.ai was founded by Arighna Roy, an entrepreneur who parlayed his expertise in AI and machine learning into a game changing IVR solution for customer service call centers. Roy firmly believes that language-agnostic analysis of callers is the way of the future, which is why Mezaaj.ai focuses on audio analysis instead of text analysis. This startup is backed by NEC Corporation, a world-renowned technology leader, through NEC X, its incubator and accelerator business unit.
Unlike the conventional IVR platforms that callers encounter before they reach a live agent, Mezaaj.ai detects the mood of a caller before live agent matching happens. While the caller describes their issue, tonality and emotion are noted and processed. The smart call routing system then assigns experienced agents to handle the problem using their expertise and advanced skill set. This legitimizes the customer’s issue and protects new call center employees from encountering challenging customers until they are ready to do so.
The ability to assess a potentially heated conversation and apply the appropriate live agent management of that situation—and thereby enhance the customer relationship—is a technology that will be useful in all sectors, and one that will place Mezaaj.ai at the forefront of vocal metric analysis.
If you think Mezaaj.ai is the solution you’ve always been waiting for, or didn’t even know you needed, we’re here to help! Drop me or Roy (roy.arighna@gmail.com) a line if you’d like to become a beta-tester and elevate your customer experience to the next level.