Product Recommendations : Personalize customer experience with AI and machine learning technology. Generate real-time recommendations based on your user’s behavior
Increase revenue, AOV, and CTR : Apply cross- and up-selling strategy by using smart recommendations. Reduce cart abandonment, bounce rate and increase AOV and sales by 5-10
Multiple recommendation models : Choose between: Related products, Bestsellers, Artificial Intelligence Conversion, Recently Visited, Frequently bought together, Cross-sell
The effectiveness of recommendations is optimized thanks to artificial intelligence and machine learning technology.
Statistics of implementations show that placing product recommendations at different stages of the customer journey has a real impact on conversion.
The locations of the personalized set of recommended products with the greatest potential to increase revenue are (in order from the most effective):
Recostream offers ten different recommendation models that may have different benefits and results depending on your store traffic and assortment.
At Recostream, we use various statistical methods of data analysis.
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].