Forecasting Overview
Demand forecasting helps you predict future inventory needs and optimize replenishment decisions. This guide explains forecasting from a role-oriented perspective.Recommended Starting Points by Role
Don’t Hide Menu Items: All users see the same forecasting menu. This guide explains recommended starting points for each role, but you can access any forecasting feature you have permissions for.
Planner (Forecasting + Replenishment)
Start here:- Forecast Scenarios - Create and manage forecast scenarios
- Forecast Events - Apply events (promotions, seasonality) to forecasts
- Forecast Accuracy - Measure and improve forecast accuracy
- Channel Projections - View forecasts by channel
- Create forecast scenarios for key products/channels
- Apply events (promotions, seasonality) to forecasts
- Generate and publish forecasts
- Monitor forecast accuracy
- Adjust forecasts based on accuracy insights
Operations (Warehouse/Inventory)
Start here:- View Forecasts - View published forecasts
- Forecast vs Actuals - Compare forecasts to actual demand
- Deviation Alerts - Review forecast deviation alerts
- Review published forecasts for planning
- Compare forecasts to actual demand
- Review deviation alerts
- Provide feedback on forecast accuracy
Finance (COGS, Holding Cost, Cost-to-Serve)
Start here:- Forecast Accuracy Metrics - Review MAPE, WAPE, bias metrics
- Forecast Reports - Generate forecast vs actuals reports
- Forecast Impact Analysis - Analyze forecast impact on costs
- Review forecast accuracy metrics
- Analyze forecast impact on inventory costs
- Generate forecast reports for analysis
- Monitor forecast bias trends
Executive (Summary Dashboards)
Start here:- Forecast Dashboards - High-level forecast overview
- Forecast KPIs - Key forecast performance indicators
- Forecast Accuracy Summary - Overall accuracy metrics
- Review forecast dashboard summaries
- Monitor forecast accuracy trends
- Review forecast performance KPIs
- Analyze forecast impact on business
Key Forecasting Concepts
Forecast Scenarios
Forecast scenarios represent different forecast models with specific assumptions:- Base Scenario: Standard forecast without events
- Promotion Scenario: Forecast with promotion events applied
- Seasonal Scenario: Forecast with seasonality adjustments
- What-If Scenarios: Explore different assumptions
Forecast Events
Events represent demand influencers:- Promotions: Sales, discounts, marketing campaigns
- Seasonality: Holiday seasons, back-to-school, etc.
- Marketing Campaigns: TV, digital, print campaigns
- External Factors: Weather, events, competition
Channel Projections
Forecasts can be viewed by sales channel:- DTC Channel: Direct-to-consumer forecasts
- Marketplace Channel: Amazon, eBay forecasts
- Retail Channel: Physical store forecasts
- Wholesale Channel: B2B forecasts
Forecast Accuracy
Measure how well forecasts match actual demand:- MAPE: Mean Absolute Percentage Error
- WAPE: Weighted Absolute Percentage Error
- Bias: Over-forecasting vs under-forecasting
- Hit Rate: Percentage within tolerance
Forecasting Workflow
Create Scenarios
Create and manage forecast scenarios
Apply Events
Apply events to forecasts
View Projections
View channel projections and long-term forecasts
Measure Accuracy
Measure and improve forecast accuracy
Understanding Channel Policy Effects
Channel policies affect how forecasts are interpreted and used:ATP (Available to Promise) Policies
Channel policies define:- Minimum Stock: Minimum inventory level for channel
- Safety Stock: Safety stock level for channel
- Reserve Stock: Reserve stock for commitments
- Forecasts consider channel ATP policies
- Replenishment recommendations account for safety stock
- Channel allocations affect forecast fulfillment
Replenishment Policies
Channel policies define:- Reorder Point: When to reorder for channel
- Order Quantity: How much to order
- Lead Time: Expected lead time
- Forecasts inform reorder point calculations
- Forecasts drive order quantity recommendations
- Lead times affect forecast horizon
Alert Policies
Channel policies define:- Low Stock Alert: Threshold for low stock alerts
- Stockout Alert: Threshold for stockout alerts
- Forecast Deviation Alert: Threshold for forecast deviation
- Forecasts trigger alerts when deviation exceeds threshold
- Forecasts inform stockout risk calculations
- Forecasts drive proactive replenishment
What Success Looks Like
Planner Success
- ✅ Forecast accuracy (MAPE) below 20%
- ✅ Forecast bias near zero (balanced)
- ✅ Events properly applied to forecasts
- ✅ Forecasts published and used for planning
- ✅ Forecast accuracy improving over time
Operations Success
- ✅ Forecasts used for inventory planning
- ✅ Forecast vs actuals tracked regularly
- ✅ Deviation alerts reviewed and acted upon
- ✅ Forecasts inform replenishment decisions
Finance Success
- ✅ Forecast accuracy metrics tracked
- ✅ Forecast impact on costs analyzed
- ✅ Forecast reports generated regularly
- ✅ Forecast bias trends monitored
Executive Success
- ✅ Forecast accuracy meets targets
- ✅ Forecasts drive business decisions
- ✅ Forecast performance visible in dashboards
- ✅ Forecast improvements demonstrated
Common Pitfalls
1. Not Applying Events
Problem: Creating forecasts without applying relevant events (promotions, seasonality). Solution: Always review and apply events:- Check for upcoming promotions
- Apply seasonality adjustments
- Consider marketing campaigns
- Account for external factors
2. Ignoring Forecast Accuracy
Problem: Creating forecasts but not measuring or improving accuracy. Solution: Regularly measure forecast accuracy:- Review MAPE, WAPE, bias metrics
- Identify products/channels with poor accuracy
- Adjust forecast models based on accuracy
- Track accuracy improvements over time
3. Not Understanding Channel Policies
Problem: Creating forecasts without understanding how channel policies affect them. Solution: Understand channel policy effects:- Review ATP policies
- Understand replenishment rules
- Consider alert thresholds
- Account for channel allocations
4. Not Publishing Forecasts
Problem: Creating forecasts but not publishing them for use in planning. Solution: Always publish forecasts after creation:- Review forecast details
- Verify events are applied
- Publish for use in planning
- Communicate forecast availability
Troubleshooting
Forecast Not Generating
Symptoms: Forecast scenario created but forecast not generating. Possible causes:- Insufficient historical data
- Forecast model configuration issue
- Product/channel selection issue
- System error
- Verify sufficient historical data exists
- Check forecast model configuration
- Verify product/channel selection
- Review error messages
- Retry forecast generation
- Contact support if issue persists
Forecast Accuracy Poor
Symptoms: Forecast accuracy (MAPE) consistently high. Possible causes:- Events not applied
- Forecast model not appropriate
- Insufficient historical data
- External factors not accounted for
- Review and apply relevant events
- Try different forecast models
- Verify sufficient historical data
- Account for external factors
- Adjust forecast parameters
- Monitor accuracy improvements
Forecast Deviation Alerts Not Triggering
Symptoms: Forecasts deviate significantly but alerts not triggering. Possible causes:- Alert thresholds not configured
- Alert policies not enabled
- Deviation calculation issue
- Alert delivery issue
- Check alert threshold configuration
- Verify alert policies are enabled
- Review deviation calculations
- Check alert delivery settings
- Test alert functionality
Channel Projections Not Showing
Symptoms: Forecasts generated but channel projections not available. Possible causes:- Channels not selected in scenario
- Channel policies not configured
- Forecast not published
- Permissions issue
- Verify channels selected in scenario
- Check channel policy configuration
- Verify forecast is published
- Check user permissions
- Review channel inventory views