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View stunning SlideShares in full-screen with the new Android app!View stunning SlideShares in full-screen with the new iOS app!
In the early days… Highly skilled mathematicians created complex models for different forecasting problems Most were based around time series forecasting Models: Box-Jenkins, Holt-Winters, Croston Algorithms could help develop:
The 80s: Retail technology became faster… New models started to go outside of time series forecasting Retailers built automation components around INFOREM More robust tools became available: E3: The next generation of INFOREM was released SAS: Enterprise time series (ETS) Retailers still working with hierarchy levels, product groups and averaging
Automation made forecasting easier, and it was good.
The 90s: The computing revolution… Client-server technology allowed for more computing power to be available Technology became affordable Pros: