Few retailers can do without one - Intelligent systems that offer customers and visitors product and purchasing recommendations. We are talking about recommendation engines (RE). Recommendation engines use intelligent data analysis in automated procedures to find and recommend products and services like the ones customers are looking for.
Most current REs base their recommendations on historic data. The latest generation of recommendation engines also use available online information. This means that they learn in real-time from interaction with customers and visitors and optimise their recommendations on the basis of ongoing interaction and customer behavior.
prudsys RDE, the next-generation recommendation engine, features:
Recommendations based on current user behavior
Fully automated generation of recommendations
High-level technology based on reinforcement learning (RL)
Wide range of functions
Flexible, modular structure
Six independent modules for implementing a wide range of business scenarios. Intelligent recommendations in newsletters, dynamic price optimisation, shopping basket cancellation forecasting, sales forecasting and the consolidation of master data are just some of the functions available.
Find out more about Germany's leading recommendation system.
