The e-commerce market reached $1,5 Trillion by the end of 2014 at worldwide level. On the other hand, more and more people are just joining the Internet through their Smartphones. So the current e-commerce services will turn into fully m-commerce services in a few years.
For this reason, EUROB has already developed M-SHOP (
http://m-shop.io/(s’ouvre dans une nouvelle fenêtre)) an innovative m-commerce platform. However, currently it lacks the integration of an intelligent algorithm for providing personalized offers, which could be key for differentiating the service from new competitors.
In fact, there is no service available in the market specifically designed for Smartphone which already integrates real time personalized offers to their customers. In order to get a unique value proposition respect to competitors, EUROB has made some attempts to develop an intelligent algorithm based on the geo-location of the users, personal profile and preferences, or the purchases history.
In IA-M-Shop project a more in-depth and scientific approach is tackled and with the support of EC and an external expert associated previous works are taken to the next step.
In particular the following objectives have been tackled:
- Design and develop an intelligent algorithm based on the user’s location (GPS coordinates), personal profile, preferences, purchase history, browse history, IoT sensor data (temperature, probability of rain, etc.) in order to provide the best purchase recommendations.
- Identify additional income sources based on the intelligent algorithm. Design a business plan for each of them. Investigate on potential adaptions of the intelligent algorithm to EUROB’s future or already developed products.
- Identify the state-of-the-art of similar algorithms and establish the differences in the technological aspects of our solution respect to competitors. Deeply analyse actual and future competitors. Elaborate the best possible IPR strategy for IA-MSHOP.
Some of the key functionalities addressed in IA-SHOP are:
- Urban Integration: the algorithm will include environmental information from IoT sensors;
- Social Shopping: the algorithm will take into account purchases from acquittances, friends and family
- Privacy and Encryption: the service architecture must take into account GDPR requirements and privacy and security by design.
- Personalized Offers: Offers should be personalized and individual per user, tailor made.
