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Forecasting Techniques with Odoo
Demo Functional
Location: Studio 6 - 10/6/21, 9:00 PM - 10/6/21, 9:30 PM (Europe/Brussels) (30 minutes)

Forecasting Techniques with Odoo
Nuria Martin Xifre Technical Consultant

Nuria Martin Xifre studied Aerospace Engineering in the Polytechnic University of Catalonia (graduated 2019). Shortly after, she started working at ForegFlow, based in Barcelona, as a Technical Consultant. In September 2020, she started a Master of Science in Statistics and Applied Mathematics in UPC. From that moment, she has been developing tools which combine statistics and Odoo.

In recent years, Data Science and Machine Learning Techniques have been widely used for forecasting several things: sales, customers, stock, etc. In this talk we present an Odoo module, called Forecasting, which can be used to apply some of these techniques based on Time Series. These models are ARIMA, a classical approach for time series problems, and the algorithm Fbprophet, a more innovative approach developed by Facebook. The talk will be focused on showing the functioning and the potential of the Forecasting module for Odoo, using all the different possibilities. We will be able to import external data or use data from our Odoo, such as Sale Orders, to make predictions for the next periods. Additionally, we will be able to properly analyse the data and extract some conclusions about trends or seasonality.

This talk is aimed at any person who wants to use time series and machine learning techniques for forecasting in Odoo.