With our AI technology, you can ensure 1:1 personalization throughout the customer journey in your digital commerce

Our AI technology is powered by our high-performance AI engine

Our AI technology is powered by our AI engine, a network of intelligent algorithms that generates knowledge for your online store from data. It uses data mining to identify patterns and correlations in the data and machine learning, specifically reinforcement learning, as an artificial intelligence method to deliver personalized content to each individual store customer at various touchpoints in your digital commerce. With every click and purchase, the AI engine develops through self-learning and can thus continuously refine 1:1 personalization for your shop customers. This makes it possible to deliver personalized content to each individual shop customer throughout the entire customer journey. Only in this way can holistic shopping experiences be created that inspire your shop customers and increase your conversion rate.

Machine learning is the fuel that powers our AI engine

Machine learning is an artificial intelligence process that generates knowledge from experience. Our AI engine uses machine learning to deliver personalized content. Based on a corresponding database, our AI engine can recognize patterns and regularities and make predictions for the personalized delivery of content in your digital commerce. To make a prediction, regression trees are used, for example, which contain possible decisions depending on the objective. Our AI engine learns from every click and purchase in your online store and thus develops independently. It generates artificial knowledge from the experiences in your digital commerce. The insights gained can then be transferred to other shop customers. Learn more about machine learning in our blog article.

Reinforcement learning is the trainer of our AI engine

Reinforcement learning is a subfield of machine learning and thus also a method of artificial intelligence. Reinforcement learning ensures that our AI engine develops itself through self-learning. It works similarly to instrumental conditioning, in which, for example, a dog learns to fetch a ball. In this case, the dog is an agent that perceives its environment. When a trainer throws a ball, the dog can run after it and bring it back to the trainer, receiving a reward in return. Just like the dog, the AI engine must be able to perceive digital commerce and decide on an action, such as displaying a particular brand to a customer. If the customer buys the product, the AI engine receives a digital treat. This reward reinforces the behavior of the AI engine. This means that if a similar customer visits the online store later, it is more likely to behave in the same way again. Learn more about reinforcement learning in our blog article.

The knowledge base of our AI technology grows with your online store

As part of our AI technology, we generate a knowledge base for your online store. To do this, we need a database consisting of your product catalog, the click and purchase behavior of your store customers, and expert knowledge from you and us. Our AI engine processes this data into knowledge and uses it to make predictions about the purchasing behavior of your shop customers (predictive analytics) and ultimately to deliver personalized content across various touchpoints in real time. If you would like to delve deeper into the knowledge base, watch our webinar recording "Generating a Knowledge Base"

Our AI technology uses the following database

Product Data

Your product catalog is required for our AI engine to build up product knowledge. If important data is missing, the product catalog will be prepared by our experts.

Click and Purchase Behavior

To enable the AI engine to learn from the behavior of individual store customers as well as from all store customers as a whole, click and purchase behavior from your digital commerce is recorded using a tracking code.

Expert Knowledge

You can incorporate your specialized shop and industry knowledge, which you have gained over time in brick-and-mortar retail and online shops. Our data scientists optimize all data with regard to consumer psychology and transmit rules to the AI engine for analyzing the data and recognizing patterns.

The role of product data within our AI technology

Your product data is the foundation for personalization along the customer journey of your digital commerce. However, it also has a direct impact on the performance of your online store. That's why it's important that your product data is complete and well maintained for your project. For example, do you want store customers who follow a vegan diet to only be recommended vegan products? Then your product catalog needs the attribute "vegan." Even the best AI technology can only play out what is contained in your product catalog. That's why our data scientists check your product catalog and, if necessary, prepare it for use. Want to know how your data is doing? Then take a look at our checklist "Product data as a sales booster".

The role of click and purchase behavior within our AI technology

Click and purchase behavior also plays an essential role within the knowledge base, as it ensures the further development of our AI engine and the personalized delivery of content. However, here too, it is important to separate the wheat from the chaff. The data used for knowledge generation by our AI engine must be relevant. "Smart data" must therefore be extracted from "big data." This process is called data mining. Our data scientists take on this task. This enables our AI engine to recognize patterns and correlations that provide useful information for your digital commerce. This extracted information is then processed into knowledge by our AI engine and applied as predictions in your online store.

"Big data is therefore a kind of raw material that needs to be processed so that it can be refined into smart data and realize its full economic potential."

Stefan Jährlichen | FZI Research Center for Information Technology and Head of Smart Data Accompanying Research

The role of expert knowledge within our AI technology

Our decades of expertise are embedded in every component of our AI technology, as described above, in product data preparation, smart data extraction, and the application of sales psychology insights. However, in order for our AI engine to learn independently and find solutions, the prior actions of our experts are necessary. Our data scientists therefore provide it with the appropriate algorithms and rule systems for analyzing the data pool and recognizing patterns, as well as with the right communication structure between the individual software services on our platform. This is crucial for the quality of personalization. Only in this way can your shop customers receive high-performance personalized content at every touchpoint in your digital commerce. To keep our finger on the pulse, our data scientists are constantly developing our AI technology. Learn more about our e-commerce data science.

Our insights into our AI technology

Data protection is an important element of our AI technology

Our AI technology complies with data protection regulations

No personal data is collected as part of our AI technology. Identification features are rendered unrecognizable by using a pseudonym. In addition, all data is hosted in Germany and is therefore subject to German data protection law.

The code fetishists of our AI technology

Stephan, CTO at epoq

Director of Awesome

#multitasking #therock #motivator #hacker #visionary

Stephan

CTO

Alex, front-end developer at epoq

DR.STEIN

#webalyzer #everlearner #front(doesnotmean the)end #metalisforever

Alex

Head of Service Platform

Oli, Software Developer at epoq

Office Linebacker

#admin #development #aheadbangersjourney

Oli

Software Developer

Angie

#development #search #runner

Angela

Software Developer

Stephan, Software Developer at epoq

Fry

#chocolatedestructionmachine #search-engine #archDevOp… #$(“body”).hide(); #someonealwaysshouts #kickern #hardcourthero

Stephan

Software Developer

#jsninja

Marija

Front-end Developer

Andy

#allfiredup #alwaysready

Andreas

Software Developer

Lea, Software Developer at epoq

#horsewhisperer

Lea

Software Developer

Steffi, front-end developer at epoq

Steffi

#pixelperfectionist #search #unl #coffee

Steffi

Front-end Developer

#CleanCode #2Keyboards #deliciousTea #Spiderman #playfulChild

Jan

Software Developer

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