Boost conversion rates with a world-class recommendation system built on Amazon Personalize. We’ll handle the setup, training and integration to have you up and running within 30 days.
Amazon’s machine learning algorithms combine historical site data with real-time browsing context to recommend the products each visitor is most likely to purchase.
Boost revenue with targeted upsells, cross-sell and add-ons. Raise your average order value without investing more into traffic.
Email recommendations outperform on-site suggestions. Use Amazon Personalize to personalize your emails and notifications and get more value from every visitor.
Use Amazon Personalize to serve high-converting:
Personalized search results
Emails & notifications
Amazon Personalize gives advanced machine learning algorithms, with features like sequential modeling, that deliver results other recommenders can’t match.
SaaS software and plug-ins give you zero transparency and little control. With your Personalize integration tuned to your needs you set your own priorities and control your software.
Don’t entrust an important competitive advantage to some SaaS startup. With Personalize, you control your code and get the security of knowing you solution is here to stay.
We’ll implement your Amazon Personalize recommender system from start to finish and fine-tune it to your needs. You’ll get access to all our code, so there are no black boxes or “top-secret” algorithms.
We’ll design a project plan based on your input and goals. We’ve built complex recommender systems from scratch, so we know how to weigh the options.
Our engineers will export your data to AWS, setup your Personalize integration and configure it to fit seamlessly into your existing infrastructure.
We’ll customize the setup and train your algorithm to get the results you need. Then we’ll help you test and analyze production results.
Rely on us for monthly updates and troubleshooting. We’ll help you understand your recommendations and dig into anything that doesn’t seem right.
What your users are doing right now will impact the suggestions that you serve next.
Use the sequence of actions as a guiding indicator of what your visitors want to see next.
Your recommender system learns from past performance and self-optimizes to improve.
Get advanced algorithms by Amazon that go beyond simple rule-based decisions.
Combine contextual factors, like location or demographics, with user activity for stronger predictions.
From importing data to training the algorithms to system integration, we'll handle everything.
Explore media applications beyond suggested content. Like smart search or targeted notifications.
We helped Germany’s largest private television company implement a hybrid algorithm to provide device-specific content recommendations.
Amazon Personalize is a platform/service offered by Amazon to provide real-time personalized recommendations.
It's built the same machine learning technology used by Amazon.com. When implemented correctly, it helps you serve better product recommendations to increase sales, boost engagement and build trust with your customer base.
We’re Europe’s most experienced provider of custom machine learning solutions.
We’ve completed over 35 end-to-end machine learning projects for over 20 leading companies, like Volkswagen, Scout24, RTL and more.
Absolutely. 30% of Amazon's page views are driven by recommendations and off-site recommendations (like email) multiply your personalization efforts to bring in even more revenue.
Even tiny increases in conversion and engagement will pay big rewards over time. Personalized recommendations make your customers feel like you “get” them. Once they learn you trust your suggestions, they’ll keep coming back for more.
The advanced algorithms developed by Amazon process clickstream data in real-time to understand both the sequence and context of user activity. That gives you more accurate recommendations than any rule-based system.
Amazon’s recommendation algorithms have been optimized to handle challenging situations, like new items or users that lack historical data (a problem known as “cold start”), where less sophisticated recommenders struggle.
Plus, the product recommendation engine is self-learning, so it incorporates the data from each new visitor to continually improve the quality of your recommendations.
Amazon Personalize is now available to all AWS customers. But you’re going to need help if you want to get results right away. We’ll handle all the setup, training and integration to get you started the right way with zero effort.
We're machine learning experts who have built multiple recommenders from the ground up, so you can trust us to get yours set up correctly and quickly. And to help monitor and measure your results.
We can install and customize your Amazon Personalize recommender in 4 to 6 weeks..
No, we’ll handle everything—from syncing data to training models to integrating Personalize with your existing infrastructure. We’ll even help you track and assess your progress once the recommender goes into action.