Demand Planning - Time series forecasts

Time series forecasts can be good starting points before incorporating other causal effects. Time series methodology examines the past history for the following elements:

Historical Average: This is also called the level of sales that you have achieved on average
Trend: This is the growth or decline in Sales over time
Seasonality: The tendency for sales to either peak in specific periods or dip in specific periods during the week, month, or quarter. You may have strong sales in the summer but weak sales in the spring and fall, for example
Cyclicality (less often): Sales volume may go through and be affected by economic cycles. Typically, since supply chain forecasting is more focused on a time window of less than one month, this is often ignored as a relevant factor affecting time-series forecasts
Outliers: Sales may be subject to a one-time, sporadic event that may not be expected to repeat
Demand Planning Net specializes in helping businesses improve their planning across their Value Chain. We provide consulting services and solutions implementation for Demand Planning, Sales Forecasting, Integrated Business Planning (IBP), Sales and Operations Planning (S&OP), and Supply Chain