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.
Recommendations are used when sending a customer a personal advertising brochure, when showing interesting products on an e-commerce website or when recommending content such as journal articles or blog posts. Recommending the right products to your customers, and advertising at the right moment can not only increase your sales but also extend the lifetime of a customer by achieving higher customer satisfaction and making them come back to your services each time.