Magnus Åström

So it wasn't.

So we are offering large businesses software based on machine learning algorithms that helps the customers to optimize the bridge between online channels and the contact center.

And we do that by personalizing how each visitor on a website is offered

Customer service channels like live chat, phone numbers, click-to-call options, chatbots, whatever the customer is using, we apply machine learning to offer the right channel to the right visitor, which means that the customer gets or our customer gets less calls into the call center, more sales online.

that is on a rough level right but the real the real truth is that we are looking at very very detail on how they are behaving on the website so how they are clicking how they are scrolling the mouse movements and we combine that data with you know call tracking we track chats we track conversations in chats

And if we combine that data and apply machine learning on it, it turns out that you can tell quite a bit from just these footprints and really predict what's going to happen, how to maximize the chance that we will sell.

So basically, it's San Francisco guys.

Yeah, but it's more in a business-to-consumer perspective.

So my wet dream is to get AT&T or Verizon or any of those big ones as a customer.

So they have millions of visitors on the website.

They don't want to have all these calls into the contact center.

They want people to be able to self-serve, buy online, solve the customer service issues online.

But they know if they take away all the contact channels on the website, phone numbers, etc., they will lose a lot of sales.

So they would, they want to pick the, you know, the, the, I don't know what you say in English, but they want to have the sales, but get rid of the calls.

That is just calls, calls and calls in the content center.

That's what we help them with.

So we make money selling to telcos, insurance companies, bigger e-commerce companies, you know, energy companies, travel companies, and we deploy our technology and,

And we have one group randomly chosen, which is the target group where we do our thing and our optimization.

And then we have one control group where we just track.

And the customer can see with, you know, in the dashboard exactly how much profit we add by personalizing and optimizing.