MIGROS / SONAE
A business descriptive and predictive analytics tool for retailers, aiming a better understanding and forecasting of their sales performance, both during steady periods and emergency scenarios.
It will provide insights on usual product demand, followed by a particular functionality helping to observe and detect significant anomalies or trend changes on up-to-day buying patterns. This will allow a further deployment of an alternative forecasting model. This second approach will focus on the short-term sales projection and will also pay special attention to the relationship and influence of new emerging key elements or events during an emergency situation on the specific product demand outcomes.
*Expose phase is open to all Experiment phase teams
CEO and co-founder of CyC group in 1995, leading projects for large public and private organizations such as VISCOFAN, GOVERNMENT OF NAVARRA or ORONA.
Data Analytics Director at CYC and CTO on the data exploitation business line of the company. 12 years of professional experience as ICT innovation consultant and Data Scientist.
Cristina Ojer: Data scientist at CYC. Holds a Bachelor Degree in Computer Engineering (2020).
Amaia Ganuza: Data Scientist at CYC holding a degree in Statistics and Applied Mathematics and a MS in Data Mining and BI. 7 years of experience in BI and AI projects.