Demand forecasting for consumer electronics and durables.
Forecast cooling products that follow the heat and festive products that follow Diwali. Both move from year to year.
The app, in your trade's words.
This demo carries 950 dealers and 55 months of invented history.
What the pack sets.
- Who plans
- Demand planner
- Channel
- General trade, Large-format retail, Online
- Sales tree
- Zone, Branch, Town and Dealer or Store or Marketplace FC
- Supply tree
- Mother warehouse and Branch warehouse
- Catalogue
- Models in six families, such as Room air conditioners, Refrigerators, Washing machines
- Units
- Units and rupees crore
- Calendar
- A festival window that moves with Diwali. Heat onset by zone, not known ahead.
- Review steps
- Branch manager, then Zonal sales head, then Demand planner
- Output
- Monthly model-wise sell-in, sell-out and channel stock report
What is hard here.
- Air conditioners and coolers sell when the heat arrives, and it arrives on a different date each year.
- Televisions and washing machines peak in the festival window, which moves between October and November.
- Sell-in to dealers is not sell-out to homes.
Try this in the demo.
- Open Room air conditioners and read Calendar drivers.
- Compare General trade with Large-format retail.
- Open the Model tab.