Reducing Inventory, Increasing Turns, Decreasing Lead Times
NetSuite’s Demand Planning module offers several ways to calculate and predict demand based on historical demand, open opportunities, and/or manually entered or imported sales forecasts. Whether you want the system to review monthly or weekly demand and generate forecasts using moving average, linear regression or seasonal average calculations you will have the ability to review and edit the forecasted demand before proceeding to supply planning. Optionally you can have the system create demand based on sales forecasts.
Eliminate Manual, Paper-Based Process. Get Real-Time Access Instead.
Organizing and preparing your supply chain is a tactful process. It can get difficult when you’re attempting to calculate demand and supply in a measure that gives your business the proper blend of price control, lead times, and service level.
SuiteDistribution uses advanced inventory management and demand planning mechanisms to help you make accurate decisions and increase your time on delivery metrics. Any location where you stock inventory may be installed with parameters specific to your business to bring unprecedented control over your supply chain.
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On the Location sublist is where you’ll find a lot of additional planning parameters that affect either how demand is evaluated or how the planned orders are generated.
Item & Location Settings include:
- Safety Stock
- Left Sizing Method
- Fixed Lot Size
- Supply Planning Periods
- Supply Type
- Demand Source
- Forward & Backward Consumption Days
- Demand & Planning Time Fences
- Reschedule In/Out Days
- Multi-Location Inventory Setup
Gross Requirements Inquiry:
This provides an overview of the progressive supply and demand cycle by listing quantities required and quantities supplied on each transaction date listed. More-on-hand or less-on-hand quantity of the transaction, as well as the resulting total quantity on hand for the item, is also listed.
Available Planning Methods
Uses least-square regression method
Uses the moving average to calculate the overall average stock level needed and project future stock levels using that overall average
Uses previous demand to examine the seasonal trend and project a similar season trend for future stock levels
Uses forward-looking sales forecast data, such as opportunities, estimates, etc., to project inventory demand