E-Commerce Recommendation Systems

e-commerce

machine learning

Customer-Friendly E-Commerce

E-commerce is the main way we sell products and services these days and it requires constant performance monitoring. Being able to analyse and improve this channel guarantees higher earnings while improving brand perception and reputation.

The SCAI Itec project involved creating an advanced recommendation system that extracts hidden information on individual products and points of sale, linking them to customers and various quantitative parameters, including frequency of sales and distribution, using an extensive history of purchases and in-store transactions.

Personalising the shopping experience

This type of analysis is based on advanced machine learning techniques that use different types of algorithms, making it possible to identify similarities between products and customers to suggest the most suitable items for future purchases. The solution can be tailored to a wide range of companies thanks to the attention paid to configuration and customisation features.