Dynamic customer segmentation
Customer needs and expectations are changing rapidly, and traditional multi-criteria segmentation or clustering methods are no longer sufficient to act on the rapidly changing customer needs. The solutions allows to anticipate on customer needs based on a robust modelling of their behaviour and preferences, giving your company a leap ahead of the competition.
- AI inferred customer segmentation
- Automatic update of the segmentation identifying emerging customer behavioural patterns
- Ongoing recommendation engine for up-selling, cross-selling, Next Best Opportunities, Next Best Actions, best channel
Related news
Using data analytics to provide businesses with more insights We’re witnessing a rise in the use of big data for analysis across all industries – from healthcare to commerce –…
Data has become a primary mode of knowledge production in the 21st century. It is both a matter to be analyzed and an infrastructure for analysis as it becomes increasingly…
Digital Transformation is an umbrella term for how businesses adapt their business models to accommodate new technologies like Artificial Intelligence (AI) and big data analytics, enabling them to understand their…
It’s no secret that technology has drastically changed the way we live our lives. From how we communicate to how we manage our finances, everything has gone digital. Financial services…
