Contact centre tech is changing all the time. Like, right now, while you’re reading this, another innovation just popped into existence. Probably.
It’s no wonder, considering just how fast the industry is growing. The stats speak for themselves. Contact centres create millions of jobs around the world – jobs enough for 4% of the UK population and 8% of Philippines’ GDP.
So you’re not alone if you’re wondering what all this technological change will mean for those who actually tend the phones. Last year The Economist predicted that artificial intelligence would consume contact centres entirely, effectively placing all those millions of jobs at risk.
But what is the likelihood of this actually happening?
Hint: let’s not get too worked up just yet.
In an ever-more-competitive world, contact centres are always on the lookout for ways to increase efficiency. Software helps fulfil this need by taking on many of the tedious tasks previously performed by human staff – tasks such as updating CRMs and handling basic online chat. Yep, that little avatar of Kimberly asking if you need help isn’t Kimberly at all. There is no spoon Kimberly. Move on.
Contact centre mainstays are also seeing significant changes. Automatic call distributors recognise voice prompts to route calls correctly first time these days, while voice response is being increasingly utilised in automated menus to provide customers with the information they need without ever connecting them to an agent. It’s like Inception, but with menus.
And yeah. Anyone familiar with what we do will know that cloud-based systems are shaking things up in a big way.
There’s no doubt about it – AI is a big deal in pretty much any field you can think of. And in contact centres, it’s an absolute game-changer. But that doesn’t mean it’s going to replace humans entirely.
Let’s break down some of the contact-centre tasks well suited to machine learning.:
As you can probably tell, none of these things points toward the obliteration of humans in the contact centre. Indeed they hint at the opposite – they speak to assistance more than anything, to helping cover our blind spots and eradicating the points we hate most about our jobs.
But there’s another reason for trusting that real people won’t be going anywhere soon.
Do the words, ‘Can I speak to someone in charge?’ sound familiar?
Dealing with other humans is an utterly central part of the customer experience. Not only does speaking to another (empowered and empathetic) person reduce stress levels, but a perceptive agent understands a client's tone and needs better than any robot can.
And without all the boring tasks and admin eating away at their time, an agent can instead focus on having a more rewarding conversation, delivering a slick sales pitch and delighting their customers. In other words, that super-agent dream everybody has? It just won’t happen without machine learning.
Also, well, sometimes all it takes is a friendly voice asking, ‘Is there anything else I can help you with today?’ to exceed someone’s expectations.
Improved contact centre technology is definitely not a bad thing. No one will argue that some things are just better handled by a computer, whether it’s capturing and interpreting data, processing information, or transmitting between other devices.
For customer service, however, nothing beats the human touch. And deep learning’s most enticing promises involve making that human touch far warmer and more personal.
Who wouldn’t want a slice of that?