Organizer
Workshop Introduction:
Califrais is a company that develops machine learning algorithms and new technologies to optimize large-scale food flows. They specialize in finding innovative solutions to improve the efficiency and effectiveness of supply chain management in order to decarbonize the global food supply chain, reducing food waste and CO2 emissions.
Notably, Califrais operates on Paris Rungis market, the largest fresh produce market in the world. They also work with academic institutions (Sorbonne Université, CNRS, Université Paris Cité…) through a public-private research collaboration structure, the LabCom LOPF (Large-scale Optimization of Product Flows). Their research topics are at the intersection of machine learning, logistics optimization and ecology.
In this workshop, we will have the opportunity to work on Califrais’ data, representing 2 years of daily sales on hundreds of fresh products. Our objective will be to build univariate time-series forecasting models at a 1-month horizon to predict demand on all fresh products.
Workshop Summary:
In this workshop, we will:
If you ever wondered how to get started with time-series modelling, this workshop is for you!
Come and benefit from the experience of Califrais on this domain.