E-Commerce
Recommend the products or product configurations that meet your customers' needs.
Recommender Systems
We develop customized AI-based recommender systems for organizations. Our AI consultants guide and support you from the initial concept to the implementation of the recommender system.
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Your Experts for Recommender Systems
We develop custom data and AI-based recommender systems for businesses
Especially in the digital space, we humans are increasingly confronted with a huge mountain of potentially interesting content such as products, news, articles, photos, films, and much more. It is difficult to find exactly the content that is most relevant to us. Recommender systems are used by companies to solve this problem. Based on collected data and information, they try to estimate the interests and needs of their customers. This knowledge then serves as a basis for suggesting exactly the right content to selected customers at a specific time. This technology is already widely used for product placement. Companies benefit from an increase in conversion, revenue, and customer satisfaction. Customers benefit from reduced search effort and a personalized customer experience.
At the core of recommender systems are statistical procedures or complex algorithms that recognize patterns along the purchasing history and characteristics of the customers and translate them into personalized suggestions. Especially the digital space is perfectly suited for implementing recommender systems. Relevant data can be collected and personalized suggestions can be displayed without any problems. Today, we already encounter very complex recommendation logics in various places in everyday life. Facebook, Netflix, Amazon, Twitter, LinkedIn, Instagram, TikTok – everywhere a recommender system is in the background, trying to select exactly what we find interesting from a variety of potential content. Recommender systems have their effect, especially where a large number of contents are available or large quantities of products are offered. This technology is of great relevance to many companies and from our point of view, it is only a matter of time before it arrives everywhere in one way or another.
The development of recommender systems is a central competence of our AI consultants, which we have already proven successful in many projects. With our support, you can use recommender systems to increase your revenue and delight your customers.
Use cases for recommender systems
Advertising
Increase the effectiveness of your advertising measures by running personalized ads.
Media and Entertainment
Recommender systems can be used to suggest users texts, articles, apps, movies, series, or music.
Financial Sector
Insurances and banks use recommender systems to suggest the right offers to their customers.
Our strength
Our ecosystem enables a holistic view of data & AI.
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Tools, Partner & Technology
10+
years of experience in Data Science, ML, and AI
100+
clients from 10 industries and growing
85+
experts from more than 17 fields of study
1,000+
successfully implemented Data and AI projects
Recommender System in E-commerce
To enhance the user experience in the online shop justDrink, we developed a recommender system for Feldschlösschen AG, the largest brewery and beverage retailer in Switzerland, which recommends relevant products to customers based on their shopping cart.
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Supplier Recommendation Tool
In this project, we predicted the expected failure times of components and engine parts by applying machine learning and statistical models.
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Increasing in-car service sales through a personalized recommendation system
We developed a personalized recommendation system for a car manufacturer that increases in-car service sales and improves customer satisfaction.
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Benefits of Recommender Systems
Increased conversion and revenue
Personalized recommendations can increase conversion, as customers are more willing to buy products that meet their needs.
Personalized customer experiences
Recommendation systems help companies create personalized experiences based on their preferences and behavior patterns.
Customers find what they are looking for
Your customers find the right product within a very short time. This saves time and gives them the feeling of being understood.
Automation of manual consulting
The manual consulting and recommendation of specific products or product configurations will be automated in many places in the future.
Interested in AI driven recommender systems?
01
Free consultation
Discuss your challenges and goals in the area of Data & AI with us.
02
Tailored offer
Receive a customized and transparent offer.
03
Presentation & contract award
We present our approach to all relevant stakeholders.
04
Onboarding with project team
Our dedicated project team takes care of your needs.
