NetSuite Demand Planning analyzes historical sales data, seasonal patterns, and current sales forecasts to predict future inventory requirements. Unlike standalone forecasting tools, it's embedded within NetSuite ERP and uses real operational data to project demand and recommend replenishment schedules automatically.
For manufacturers using NetSuite, demand planning integrates directly with:
The system generates recommended purchase, work, and transfer orders that planners can review and create directly from the Supply Planning Workbench—eliminating the spreadsheet gymnastics that consume planner time.
Before enabling Demand Planning, verify your NetSuite environment includes:
Proper configuration starts with enabling features in the correct sequence. According to Oracle's official documentation, Advanced Inventory Management must be enabled before Demand Planning—skipping this step prevents the module from appearing in your navigation.
Navigate to Setup > Company > Enable Features > Items & Inventory subtab and enable:
This configuration step prevents a critical setup error—planners discovering Demand Planning links don't appear because features were enabled out of order.
Go to Setup > Accounting > Inventory Management Preferences and configure:
Transactions to Consider:
Planning Parameters:
Each item requires configuration for demand planning to function. Navigate to Inventory > Lists > Items and configure:
Use the Duplicate Multiple Locations feature to copy settings across warehouses, dramatically reducing setup time for organizations with complex inventory structures.
The Supply Planning Workbench serves as your command center for demand planning operations. According to Paapri's implementation guide, proper workbench configuration separates successful implementations from frustrating ones.
Supply chain planning requires vendor data accuracy:
For manufacturing integration, configure work order generation preferences at Setup > Accounting > Accounting Preferences > Order Management subtab. Under Create Work Orders and Supply Planning, set default status (Planned/Firm/Released). Configure production scheduling parameters for capacity constraints.
The system calculates net requirements by subtracting on-hand inventory, scheduled receipts, and safety stock from gross requirements, then generates recommended orders to fill gaps.
NetSuite provides four forecasting methods, each suited to different demand patterns. Choosing incorrectly can lead to inaccurate forecasts.
Moving Average: works best for stable, consistent demand like fasteners or standard components. It requires 3-6 months of history with low setup complexity.
Linear Regression: suits trending products in growth or decline phases. It needs 6-12 months of history with low setup complexity.
Seasonal Average: handles seasonal products like holiday items or outdoor equipment. It requires 1-2 years of history with medium setup complexity.
Sales Forecast (CRM): supports B2B project-based manufacturing using sales pipeline data with medium setup complexity.
Create custom workflows to automate exception handling:
Demand planning touches sales, production, procurement, and finance. Configure role-based access so:
Beyond basic configuration, manufacturers extract additional value through advanced techniques available in NetSuite's demand planning module.
Statistical Model Selection:
Event-Based Adjustments:
For manufacturers with complex supply chains, consider:
Note that NetSuite has a 10,000 item limit per demand planning run, requiring segmentation for large catalogs.
The real power of demand planning emerges when you connect forecasting to business intelligence. Saved searches and reports transform demand data into actionable insights.
Create saved searches that answer critical questions:
Configure dashboard KPIs for:
Connect demand plans to advanced manufacturing for:
Configure safety stock and reorder points based on:
Implementation partners consistently identify three factors separating successful demand planning deployments from disappointing ones.
Industry best practices show that manufacturers who involve cross-functional teams achieve better results:
Data accuracy determines forecast accuracy. Establish processes for:
The wrong "Transactions to Consider" setting: creates symptoms where the forecast always shows zero. The fix is to match the setting to your transaction types.
Features enabled out of order: causes Demand Planning links to not appear. The fix is to enable Advanced Inventory Management first.
Item replenishment method not set: results in items excluded from demand plans. The fix is to set Time Phased or Reorder Point on each item.
Safety stock too aggressively: leads to excess inventory accumulation. The fix is to review and adjust quarterly based on actual variance.
Lead times that don't match reality: causes constant rush orders. The fix is to update lead times based on actual vendor performance.
Configuring demand planning features in NetSuite requires more than following documentation—it requires understanding how manufacturing processes actually work. Anchor Group brings deep expertise in manufacturing ERP implementations, with consultants who understand work orders, assembly builds, BOMs, WIP tracking, and production scheduling.
As an Oracle NetSuite Alliance Partner with multiple Partner Spotlight awards, Anchor Group has helped manufacturers across wholesale distribution, discrete manufacturing, and build-to-order operations configure demand planning that actually works.
Their Midwestern approach—straightforward, no-nonsense consulting—means you get practical configurations instead of theoretical perfection. When Tripp Perkins needed help with WIP/Routings implementation, he noted that Anchor Group's consultant "didn't take long to pick up on our processes and understand our manufacturing processes."
For manufacturers struggling with stockouts, excess inventory, or planners drowning in spreadsheets, contact Anchor Group for a demand planning configuration that transforms NetSuite from a growing pain into a growth driver.
The core components include forecasting methods (Linear Regression, Moving Average, Seasonal Average, Sales Forecast), item-level configuration (replenishment method, safety stock, lead times), the Supply Planning Workbench for analyzing requirements, and automated order generation (purchase orders, work orders, transfer orders). According to Oracle's documentation, these components work together to project demand and generate replenishment recommendations automatically.
Forecast accuracy improves through three primary levers: selecting the right forecasting method for each item's demand pattern, maintaining accurate historical transaction data, and regularly reviewing and adjusting forecast parameters. Organizations that properly implement structured demand planning processes in NetSuite can improve forecast accuracy by up to 30% compared to manual planning methods.
Custom workflows automate exception handling, approval routing, and alert generation within demand planning. Manufacturers use workflows to auto-approve purchase orders below threshold amounts, escalate capacity constraints to production managers, and trigger vendor communications for long lead-time items. This automation significantly reduces manual planning time.
Demand planning integrates natively with work orders and assemblies, BOMs, inventory management, and purchasing. When the system identifies a shortage for an assembly item, it can automatically generate work orders that explode component requirements through multi-tier BOMs, then create purchase orders for any components below reorder points. This integration eliminates the manual coordination that causes planning delays.
Yes, with appropriate configuration. The system supports multiple locations and extended planning horizons. The 2024.2 release extended planning horizons from one year to three years, supporting manufacturers with long lead-time supply chains. Multi-location planning with location-specific parameters scales across warehouse networks without additional configuration complexity.