Indrek Vainu

What’s in a message – recap from Latitude59 and customer reactions

Last week we were selected as one of the top 10 early stage start-ups in Latitude59, one of the largest start-up conferences in the Nordics. Aside from pitching in front of a packed demo room, we were fortunate to interact with dozens of people in our demo booth. This provided an especially cool insight into how people react to bots and what are the main questions they have. Below is a list of things that came up when discussing building ecommerce stores and customer service solutions into Facebook Messenger: “Wow, I did not know that was possible” – this was

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It’s A Bot World

A few weeks ago Facebook announced that developers can start building bots for their Messenger platform. Today we’re happy to announce that we have released our shopping bot for Messenger by harnessing our artificial intelligence engine in e-commerce. It is a nice preview of things to come. As we’ve been focused deeply on Messenger and the bot world, I thought I’d share a few thoughts around the topic. Why is this significant? Bots are a new type of interface for interacting with businesses, especially on messaging platforms. This is important as the top messaging apps have more monthly users than

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What Media Companies Are Looking For

We at CartSkill recently attended the media and start-up matching event MediaHoneypot in Helsinki put together by the good people at ArcticStartup. As we’ve been deeply engaged in the world of media, advertising, marketing and publishing over the past months, it was a good chance to get some fresh perspective from a number of large media companies both in Scandinavia and the rest of Europe. A couple of messages that we picked up: Ad blocking is (still) a problem. Ads pay for the content but blocking them means that producing that content will get more expensive. So media companies are developing different

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Hate Banner Ads? We’ve Got the Cure.

In our previous post we covered how our visual product discovery system solves the problem of product discovery. In this post we focus on how the same technology is used to solve the problem of “banner blindness” — a case where the visitor to a website chooses to ignore the banner ads. I guess it needs no further explanation, we’ve all ignored banner ads. They flash, play tedious videos, load slowly and show random products. They are mostly irrelevant. Yet, the content on the web would be different if it were not for banner ads and other type of digital advertising. Much

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Using the Power of Our Artificial Intelligence in Discovering New Products

Recently there has been much talk about Google’s AlphaGo that defeatedthe best human player in the game of Go. A remarkable step that shows the potential of artificial intelligence. Neil Lawrence from The Guardian had an especially interesting take on the subject as he drew a parallel with the development of the steam engine in 1712. The steam engine was initially built specifically for a single use case, pumping water out of coal mines. However, it was James Watt who made significant improvements in the efficiency of the steam engine’s condenser so that it could be used in many other fields

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Deep Learning — What It Means For Ecommerce And Why You Should Care As A Marketing Professional?

In simple terms deep learning is a method of abstraction through which an algorithm solves a complex problem with little or no instruction. Basically you can throw some tough problems at the algorithm and it will spill out the answers. Of course it has its limitations and the quality of answers depends on several factors but as a marketing specialist, there are reasons why you should pay attention. To understand the impact that deep learning can have on ecommerce and marketing, let us take a specific example. For example, let’s say Jane is visiting an online store and is looking

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Training Machines To See, So You Can Discover Products You Actually Want.

After the holiday season it is common to experience a post-shopping hangover of sorts. You know, the aftermath of a feeling that you had to engage too much in commercial consumption. And the feeling of frustration in shopping is most often associated with the relentless searching for the things you want and then being unable to find them. With these thoughts in mind we have been building CartSkill — an Artificial Intelligence based system to make the online product discovery process easier for people (you can access the demo here). With the choice and selection that exists today it is hardly the

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