Our e-commerce technologyis based on artificial intelligence (AI)
The centerpiece of our e-commerce technology are our self-learning algorithms. We developed them based on most recent technology of machine learning and data mining. They measure the click and purchase behavior of the customers and gather available data from the product feed, CRM system, etc. By using real time analytics and predictive analytics online retailers receive valuable predictions about the future buying behavior of their customers. These predictions can be used for successful personalization of the online shop.
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Machine Learning (AI)
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Machine learning is a component of artificial intelligence (AI) and empowers algorithms to solve different problems
Supervised Learning (AI)
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Supervised Learning is a subarea of machine learning. Examples are used for teaching algorithms how to solve specific problems.
Reinforcement Learning (AI)
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Reinforcement learning is another component of machine learning. Algorithms are trained to develop by themselves.
Data Mining
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Data mining deals with explorative data analysis. Insights are gained by using statistical methods on gathered data.
Real Time Analytics
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Through real time analytics incoming data is analyzed and processed in real time on our platform.
Predictive Analytics
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Predictive analytics covers the insights from machine learning and data mining and provides predictions about the buying behavior.
Our self-learning platform serves usas an anchor for personalization
Our services are all connected to the epoq platform. The data from the product catalog / CRM [01] and the tracking [02] via our API in the shop is combined in our platform.
At the heart of the platform are our algorithms, which are continually being developed further by our data scientists using Predictive Analytics [03]. Hypotheses are created and tested using recognized methods, to the point where we can make better and more worthwhile predictions.
The technology we implement is based on Reinforcement Learning [04], which enables our services to automatically develop over time, as the algorithms learn independently.
The driving Force behindOur Control Desk
The e-commerce back end serves for analyzing and managing our products from epoq Suite. Our customers can open and use the control desk through their personal login. The data of the online shop is gathered here and presented clearly making it easy to look up different analyses and key figures. This allows our customers to manage the services we provide for more personalization of their online shop. This offers the possibility to influence different key performance indicators e.g., click rate or conversion rate.
“Shopping with epoq feels oddly
intuitive and, in a very short time, completely self-evident. Like flying in upwind.”
The 4 components of ourpersonalization know-how
Our e-commerce technologyThis is our approach
We do not deliver off-the-shelf products – every online shop is at home in another industry and has different types of buyers moving through the shop. In addition, company-specific processes must be mapped, which result from the respective trading strategy. That is why our software is custom-configured with care, always with the aim of creating the best shopping experience for the online shoppers. Because happy customers automatically make a better conversion.
This is how it’s done
Better safe than sorryour privacy promise
Personalization also works without personal data – the integration of all the services of our suite is exceptionally simple. But also the data protection that is always guaranteed. Learn more now.
