The challenge of this project, co-funded by the Ministry of Energy, Tourism and Digital Agenda (No. TSI-100105-2017-2), has been to be able to customise a consistent message and a specific value proposition for each user based on their needs and specific preferences, regardless of the device or channel used.
Based on all the profile data and behavior collected in all channels, we try to obtain patterns that allow us to predict and generate messages and personalized value proposals for each user.
In fact, omnichannel marketing aims to stop talking about user-clients to start talking about people -clients, a person who connec with our company at many different times through different channels and through different devices.
State of the art enhancements
Recommendation system based on problematic Big Data and that applies Automatic Learning techniques, with the purpose of offering a personalized service to users based on their browsing history. The final solution is splited into different stages:
- Data collection and storage
- Preprocessing of the data
- Learning and obtaining the model
- Implementation of the learned model
The project has been co-financed by the Ministry of Energy, Tourism and Digital Agenda.