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Introduction to Boxalino Winning Interaction Platform

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Who is Boxalino?

Boxalino is a Swiss AI company developing and operating the Winning Interactions real-time platform.

The Winning Interactions platform is connected to existing e-commerce systems, e-mail marketing systems, apps, and portals. This makes it possible to provide each visitor to an online store, portal, or app with the best possible customized user experience in real-time and in an automated way.

The automatic learnings of Artificial Intelligence can be combined with your own specifications. These are configured as guidelines and specifications, as well as supplemented by their own algorithms and predictive models.

Thus, companies of any size can get the most out of the possibilities of data science and artificial intelligence.

These optimizations achieve an additional 5% to 20% revenue percentage and improve the margin and competitiveness accordingly.

What problems does the Boxalino Platform solve?

A broken road between UX and AI

The world of User Experience (UX) saw a great number of improvements during the last few years, from Headless CMS to Micro-services oriented front-end architecture vastly overperforming their monolithic ancestors both in speed and efficiency.

The same can be said about Artificial Intelligence (AI), the rise of Deep Learning over the last decade changed the domain drastically making it much more commercially relevant than ever before. In addition, platforms like Google BigQuery and Tensorflow greatly reduced the costs and efforts to do data science, effectively democratizing the domain for SMBs (who were not able to afford such systems before these new platforms).

However, significant hurdles remain in the way of SMBs, and they are in the bridge between these two worlds. To transfer the data from the Real-Time UX behaviors requires a lot of efforts (most companies do it only a little bit with Web Analytics platforms which are not adapted for Data Scientist to work efficiently with data) and to load the results of data science into the real-time operational systems like the e-shop of the Newsletter systems requires a lot of custom work and for data scientists to explain what to do to Dev/Op (IT) engineers who do not always understand each other easily.

The main issue is caused by a lack of standards and platforms supporting the way to collect data from your operational systems and to upload predictive models and other types of data back into your operational systems.

The Data Science Dilemma

One of the most problematic issues with Data Science for SMBs the amount of time needed for Data engineering (mainly collecting, cleaning, and organizing data) which represents a scary 80% of the time for most Data Scientists.

Boxalino allows you to focus almost directly on the activities that really add value.

Data Engineering Overload, Reporting without Actions, Big but Bad Data

The solution with Boxalino Winning Interactions Platform

Data Science Ecosystem (DSE)

The power of the Google Cloud Platform™ for your e-shop success:

Your Data Science Ecosystem "out-of-the-box"!

A Data Science Ecosystem VS a Black Box Engine

The different types of Data Scientists

What it means for a Data Science Analyst

The Boxalino Winning Interactions Platform

A Headless aproach

9 E-Commerce Doping Must-Haves delivered by Boxalino Real-Time Cloud

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