Last week, our colleagues Maximo, Edouard, Jouanna, and Per led another successful edition of the Forecast Game at EPFL as part of the Production Management Course, thanks to an invitation from Amin Kaboli.

The Forecast Game was a unique opportunity for the students to put to work their theoretical forecasting skills in our environment, which directly impacted their selections.

➡ To ensure an ultimate learning experience, Lisan customized the game to include four product scenarios. Students tackled challenges using statistical forecasting, driver information, and machine learning on drivers to create the most accurate forecast possible.

Congratulations to Team 10 for delivering the most accurate forecast and taking home the prize! 🏆

Student feedback was overwhelmingly positive, noting how valuable it was to see the immediate effect of forecasting model selection and parameter adjustments to improve forecast accuracy.

A big thank you to Amin Kaboli and all the students for their enthusiasm and engagement! Your Production Management class is truly shaping tomorrow’s supply chain leaders. 👏

Curious to see how the Forecast Game can elevate your demand planning team? Learn more here 👉 https://lnkd.in/eVQz676a