Improve your user experience through Comordos’ personalized recommendations in your applications. Our smart recommendation algorithms will help you increase relevance, build loyalty and drive consumption.


How it works:

The recommendations for different devices (web pages, apps, smart TV, etc.) are based on advanced analysis of your customer purchase history. The purchase history is sent to our servers along with information from the product catalog. Based on this data Comordo produce recommendations for each individual customer. The recommendations formatted to fit the current devices and are then imported by your APIs.

Customer segments:

Applications Recommender is well suitable for on-demand services with content such as books, e-books, audio books, film and television, music, podcasts, magazines and radio.

Use Cases:

Personalized Recommendations

Related Recommendations

General Recommendations

Cold-Start Recommendations