Initial situation: a consumer goods manufacturer is currently using statistical calculation models or even excel lists for demand planning
01
Determining the actual state
In the first step we determine the current
deviation between planned and actual
demand with the help of the costumer.
02
Collection of available data according to
the principle as little as possible, as
much as necessary
The costumer provides a dataset. We
analyze the data and make
recommendations.
03
Costumer uploads data on their own
From now on , the costumer uploads
current data sets on the autoforecast
website and starts the workflow.
04
Forecast results are transmitted automatically
Autoforecast transfers the forecast
dataset while the data can be seen in the
dashboard.
05
Save money and resources
The average savings potential of our
customers is around 30% less out of
stock and 35% less waste due to expiring
shelf life.