Churn Hunters - POS revenue forecast with exogenous variables to prevent churn

[#1]

Team Name	Churn Hunters
Track	POS revenue forecast with exogenous variables to prevent churn
Use Case	The goal of the model is to predict future revenues based on Point-of-Sale (POS) monthly revenues for each single bank customer owning a POS.
Technology	SAS Viya
Region	Italy
Team lead	Marianna Signorini
Team members	@Irene_Soldani @AriannaCeleste @Francesco_Pinto @DavideMenardi
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Is your team interested in participating in an interview?	N
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[Irene_Soldani]

top!

[MrVinsavares]

A great example of how "traditional AI" can still be quite valuable! Congratulations

[Gonrisase]

A really interesting project. The truth is that even though traditional models (logistic regression) and the like are still used, consumer behavior is becoming increasingly complex, which calls for better models to predict it. Great work.