Analytics and Data Science

Data Science is a multidisciplinary field that employs scientific methods, processes, algorithms and systems to generate complex patterns from data and transform them into quality information and knowledge, at the disposal of the interested parties.  

In our projects we have been confronted with different application areas of Data Science. The customers’ needs specifically relate to solutions capable of modelling business uncertainty and complexity through the entire Supply Chain. 

Application examples:

Demand: automate demand planning by means of machine-learning algorithms, integrating rapid analysis of extensive time series associated with context-related variables.

Stock: define optimal stock levels both for existing and new products, taking into account demand variability and distribution complexity.

Operation: achieve optimal links among planning, supply, service level and business performance, through multifunctional planning, filling the gap between strategic planning and operational execution.