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Forecasting Overview

Demand forecasting helps you predict future inventory needs and optimize replenishment decisions. This guide explains forecasting from a role-oriented perspective.
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:
  1. Forecast Scenarios - Create and manage forecast scenarios
  2. Forecast Events - Apply events (promotions, seasonality) to forecasts
  3. Forecast Accuracy - Measure and improve forecast accuracy
  4. Channel Projections - View forecasts by channel
Daily workflow:
  • 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:
  1. View Forecasts - View published forecasts
  2. Forecast vs Actuals - Compare forecasts to actual demand
  3. Deviation Alerts - Review forecast deviation alerts
Daily workflow:
  • 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:
  1. Forecast Accuracy Metrics - Review MAPE, WAPE, bias metrics
  2. Forecast Reports - Generate forecast vs actuals reports
  3. Forecast Impact Analysis - Analyze forecast impact on costs
Daily workflow:
  • Review forecast accuracy metrics
  • Analyze forecast impact on inventory costs
  • Generate forecast reports for analysis
  • Monitor forecast bias trends

Executive (Summary Dashboards)

Start here:
  1. Forecast Dashboards - High-level forecast overview
  2. Forecast KPIs - Key forecast performance indicators
  3. Forecast Accuracy Summary - Overall accuracy metrics
Daily workflow:
  • 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

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
Impact on Forecasts:
  • 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
Impact on Forecasts:
  • 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
Impact on Forecasts:
  • 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
How to avoid: Make event review part of forecast creation workflow.

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
How to avoid: Set up regular forecast accuracy reviews.

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
How to avoid: Familiarize yourself with channel policy configuration.

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
How to avoid: Make publishing part of forecast workflow.

Troubleshooting

Forecast Not Generating

Symptoms: Forecast scenario created but forecast not generating. Possible causes:
  1. Insufficient historical data
  2. Forecast model configuration issue
  3. Product/channel selection issue
  4. System error
Steps to resolve:
  1. Verify sufficient historical data exists
  2. Check forecast model configuration
  3. Verify product/channel selection
  4. Review error messages
  5. Retry forecast generation
  6. Contact support if issue persists

Forecast Accuracy Poor

Symptoms: Forecast accuracy (MAPE) consistently high. Possible causes:
  1. Events not applied
  2. Forecast model not appropriate
  3. Insufficient historical data
  4. External factors not accounted for
Steps to resolve:
  1. Review and apply relevant events
  2. Try different forecast models
  3. Verify sufficient historical data
  4. Account for external factors
  5. Adjust forecast parameters
  6. Monitor accuracy improvements

Forecast Deviation Alerts Not Triggering

Symptoms: Forecasts deviate significantly but alerts not triggering. Possible causes:
  1. Alert thresholds not configured
  2. Alert policies not enabled
  3. Deviation calculation issue
  4. Alert delivery issue
Steps to resolve:
  1. Check alert threshold configuration
  2. Verify alert policies are enabled
  3. Review deviation calculations
  4. Check alert delivery settings
  5. Test alert functionality

Channel Projections Not Showing

Symptoms: Forecasts generated but channel projections not available. Possible causes:
  1. Channels not selected in scenario
  2. Channel policies not configured
  3. Forecast not published
  4. Permissions issue
Steps to resolve:
  1. Verify channels selected in scenario
  2. Check channel policy configuration
  3. Verify forecast is published
  4. Check user permissions
  5. Review channel inventory views


Permissions & Roles

Viewing forecasts requires standard user permissions. Creating and publishing forecast scenarios requires planning permissions. Contact your organization administrator for details.