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.
Read more about this topic and what to do about it in How to orient your Company towards Data Science?
Data Engineering Overload, Reporting without Actions, Big but Bad Data
As a result, data scientists tend to be overloaded with Data Engineering and pain to produce dashboards and reports for the management.
But a Dashboard is not an action, the real goal is to load the result of the data science work (if possible in a fully automated way) back to the production environment, but there, the IT resources have to become involved and they are also often overloaded.
As a result, you are likely to be swamped below a gigantic pile of heterogeneous data from different sources, in different formats, all of which are quite big (which makes them costly and hard to transfer) but are not what you need to actually bring a business impact that is measurable with an a/b tests so you know what you gain out of it.
The solution with Boxalino Winning Interactions Platform
Boxalino offers a complete Data Science Ecosystem.
This means that with Boxalino, all the platforms necessary to optimize your online success with data science and artificial intelligence will be automatically there.
Your Data Science Ecosystem "out-of-the-box"!
In addition, Boxalino offers many automated and easy to configure Best Practices.
This means you don’t need to have a data scientist to take advantage of the Boxalino platform and benefit from measurable effect in your online revenue!
Boxalino offers managed optimization services on a monthly basis which will already help you achieve a great impact with the Boxalino Winning Interactions Platform!
And once you get to a point where you want to invest more in data science, everything is there for you:
Get trained on the Boxalino Intelligence Admin so that non-technical people can start to configure and optimize Boxalino Best Practices step-by-step with A/B Testing.
Benefit from the value of our Certified Data Science Partners who can configure many standardized Artificial Intelligence projects in the Boxalino platform (e.g.: Customer Clustering)
When you are ready, engage your own Data Science Analyst to get trained on Boxalino
A Data Science Ecosystem VS a Black Box Engine
Unlike other systems, Boxalino is not a recommendation engine working as a black box and claiming to have “great AI” which you can’t actually really see.
Boxalino is an open Data Science Ecosystem that empowers your team with many reports and administration interfaces so that you can truly understand and influence the effect Data Science can have on your business.
The Boxalino Winning Interactions Platform
The different types of Data Scientists
As we explained in detail, in How to orient your Company towards Data Science? , there are 3 key profiles of Data Scientists:
Data Engineer
Data Science Analyst
Core Data Scientist
Each focusing on a different section of the Data Science Pyramid of Needs:
As Boxalino can be your key partner covering most of your Data Engineering needs, we recommend you to focus the work of your Data Scientist on the middle part: Data Science Analytics.
What does it mean for a Data Science Analyst?
A Headless approach
9 E-Commerce Doping Must-Haves delivered by Boxalino Real-Time Cloud
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