With our proprietary hyper-personalisation algorithms, we can help you show customers the products that matter to them. Instead of working with segments, every recommendation is now individually tailored to a specific customer. This can help you redefine the content of personal advertising brochures, of your ecommerce website or of journal articles or blog post recommendations. With the right content at the right time, it is only a matter of time before you see the impact on your sales and on customer satisfaction.

We made multiple recommendation systems for both online/offline retailers. By combining the data from customer behavior and purchases with our strong machine learning engines, we were able to make smart suggestions to customers. These recommendation systems resulted in an increase of ~3% in revenue by recommending the right products.