Shopify App : AI Recommendations
Create AI driven User Experiences using product recommendation
About AI Recommendations
Save time and resources : All modules are automatically optimized for your web shop using Artificial Intelligence developed by data scientists and PhD researchers
Individual Personalization : Our modules show recommendations based on the behavior of each user, going beyond what is most popular to determine which products to show
Modules for every goal : The wide range of modules offered are completely adapted to your customer base and shop placement, enabling you to reach your business goals
Implement the Froomle solution for next level AI driven personalization
The Froomle application offers a flexible modular solution. From ‘Discover for you’ to ‘Complete your purchase’ modules, we have all your needs covered. And we’re continuously working on new modules, so check back regularly to see the latest additions.
Key Features
Automation & Optimization: Using only first party data, automated personalized product recommendations are shown that are specific for your individual users.
Artificial Intelligence: Every module uses a number of innovative techniques like collaborative filtering, neural networks and content-based filtering.
User-friendly dashboard: Intuitive insight dashboard for better understanding of your products performance and the impact of personalization.
Integration: Integrated into the native Designer, the modules automatically match your shop theme.
Adaptable Parameters: Module parameters automatically adapt depending on where the module is placed within your web shop.
Seamless workflow: use directly in Shopify admin
Up-to-date tech: works with the latest themes
About the Author
Matej Kontros is an E-Commerce expert and app developer with over a decade of professional experience in IT.
Matej has worked for organisations of all types and sizes, including global players, startups, and agencies. He designed, developed, and maintained complex projects.
Matej's expertise includes e-commerce, software engineering, web development, systems administration, internet security, managing projects, and building teams.
Visit his website at [ Web Linkedin ] or contact him at [email protected].