AiRS is powered by computational intelligence using technologies which fully take advantage of the best features of statistical tools and hybrid techniques inspired by neuroscience. It efficiently extracts patterns, or learnings, from any set of data without requiring a set of predefined hypothesis, rules, or any other particular conditions.

In comparison, the weakness of most online optimization technologies, including statistics based analytical solutions, profiling or collaborative filtering solutions, is their linear operating mode derived from traditional marketing approaches. These technologies are unable to accurately model the complexity of the real world and to dynamically adapt to changing conditions.

AiRS, provides a totally new approach to building customer relationships. The key to this approach rests on an in-depth understanding of visitor interests and behaviours.

•  AiRS operates in a non-intrusive and non-soliciting fashion. As a self-learning closed-loop solution, AiRS automatically optimizes customer loyalty, interactions, transactions, revenue and ROI.



•  AiRS defines a visitor based on hundreds of attributes (the visitor DNA) and compares the DNA of each visitor to the DNA of every other visitor, allowing to group visitors by micro audience segments.



•  AiRS dynamically determines product or content recommendation based on visitor behaviours and interest assumptions, and improves them according to their actions or inactions.

AiRS transforms visitors into clickers and clickers into repeat buyers