The ShophIA project aims, firstly, to improve in-store and online data gathering through massive data sources, thereby increasing the granularity of the information collected and generated and, secondly, to investigate in federated deep symbolic learning algorithms sustained by an edge computing architecture that will improve the customer experience with a virtual assistant both in the shop and on the web.

The consortium formed by the company Eurostar Mediagroup and the technology centre AIR Institute, proposes research into a functional model of intelligent system for the retail sector based on an edge computing platform. The result of the ShophIA project will be an open, flexible and scalable solution that allows for the comprehensive management of the company's relationship with the customer. To this end, it will merge sources in a knowledge base based on the online and in-store profiles to generate a personalised assistance experience (retail assistant) through the functional model and the equipment deployed in-store. Finally, ShophIA will collect customer feedback and carry out a followup to assess customer satisfaction.