The genesis of OnSight Analytics

We have already introduced you to the start of the OSA pilot phase and the onboarding. In the meantime, a few weeks have passed and a number of new features have been launched. It’s time to talk to our CEO Sebastian Kielmann about the background of OnSight Analytics and what’s behind it.

OnSight Analytics

Sebastian, when did the development of OnSight begin?
The development of OnSight started in March 2018. The very first thing we did was to start developing systems that collect, store and analyze data. After that, we started to make a combination of the new data with our AI and image recognition.

And what led to that?
We’ve been providing our customers with performance support for their online store for many years with our AI and image recognition. That’s when we started thinking about how we could combine all the capabilities of our systems into one simple and intelligent solution with the goal of creating market intelligence that automatically detects relevant events and reports recommended actions right away.

What has been the biggest hurdle so far?
Collecting and evaluating the data is always a challenge. But also combining the ideas and wishes of our partners, which concern brands on marketplaces, brands in their own store, or consist of retailers as well as marketplaces, is not an easy task for us. Everyone has a different perspective on the data, and we want to unify them all in one form so that our AI can deliver the best possible recommendations for action.

What feature are you most proud of?
I can’t say, because I’m proud of all of them: portfolio analysis, product lifecycle, similarity search but also our Interest Score, which combines a lot of data into one number.

More info on the Interest Score and other features coming soon here on the blog! To make sure you don’t miss them, subscribe to our newsletter and follow us on our social media channels.