The FreshForecast solution is a big data platform to provide price dependent sales forecasts for fresh produce along the supply chain on regional and individual store levels. The platform is built on top of an existing, high-availability Spark cluster, designed to work with massive amounts of data, compatible with GS1 / EPCIS standards and will be connected to MIGROS data infrastructure. FreshForecast combines the internal data, provided by Migros, with external data from weather history and forecast, points of interest (competitors in the vicinity of stores) and seasonality.
- Trained prediction models powered by a deep learning algorithm
- A Big Data platform for continuous operation, curation and ML data pipelines and keeping the models accurate and returning suitable results to MIGROS as well as
- User Interfaces tailored to the needs of large-scale corporate operations, buying, but also for local store managers in order to enable decisions that sustainably reduce food waste in daily operation.
*Expose phase is open to all Experiment phase teams
Dr. Matthias Brunner
CEO and Co-founder, Physicist, 10 years sensor development & sales at Bosch.
Prof. Dr. Christian Fleck
Head of R & D, System Biology, 15 years of simulation of complex biological systems.
Dr. Octavio Glorio
Solution Architect, 15 years Data Management, 10 years. Big Data Architecture.
Dr. Dishi Liu
Algorithms and Simulations, Mathematics Numerical Modeling, Machine Learning, Convolutional Neural Networks.
Marketing Manager, 10 years product marketing of FMCG at Wella and P&G.
Dr. Matthias Heiden
ML algorithms in the area of chemometry, former CTO of Fresh detect.
Scientific Project Manager.
Management Consultant, 8 years of experience in the Consumer Market (Lidl, Dr. Hauschka, Ecover).