The document outlines various methods for demand forecasting, including qualitative and quantitative approaches. It emphasizes the importance of analyzing demand trends over time, using customer insights, and combining expert opinions to predict future demand. Additionally, it discusses techniques like moving averages and the Delphi method to refine estimations.

1. Methods: Demand
Forecasting
Qualitative Quantitative
Looking at demand trends
overtime (upward/downward) to
estimate changes in demand
(upward/downward)
Asking demand based questions
to customers to have an
understanding on their future
intentions, and therefore predict
upcoming orders patterns
Using the average of the
numbers recorded during a
given period to estimate what
to expect the coming periods.
Regrouping sales forces
estimates from different areas
to make a decision on demand
trends.
Decisions are made based on
executives estimations on how
demand trends will change.
Using several rounds of
questions and discussions with
a panel of experts to determine
upcoming trends in demand.
Assuming that previous
amount of orders are going to
be the same the next time
ex: we sold 50 last time, we can
expect to sell 50 next time.
Using the average of the numbers
recorded during a given period to
estimate what to expect the
coming periods. Past observations
are given less weight in the
estimations than recent averages.
TREND PROJECTIONSCONSUMER SURVEY
NAIVE APPROACH
EXPONENTIAL SMOOTHINGDELPHI METHOD
SALES FORCE ESTIMATE
EXECUTIVES ESTIMATES
MOVING AVERAGES
source:supplychainmylife.com