Demand Planning Accuracy Checklist
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This Template was installed 4 times.
Data Source Validation
Verify the accuracy and reliability of data inputs used for demand planning.
Data Source 1: Sales System
Data Source 2: Market Research Data
Last Data Refresh Timestamp (Epoch)
Next Scheduled Data Refresh Date
Data Integrity Notes
Data Security Protocol
Historical Data Review
Assess the quality and relevance of historical sales data.
Number of Years of Data Reviewed
Description of Data Cleansing Steps Performed
Data Source Verification Status
Last Data Audit Date
Data Anomalies Identified?
Notes on Data Quality Issues & Resolutions
Forecast Method Selection
Evaluate the appropriateness of the forecasting method used (e.g., statistical, qualitative).
Primary Forecasting Method
Statistical Method Used (if applicable)
Justification for Method Selection
Forecast Horizon (in weeks/months)
Software Used for Forecasting
Factors Considered in Method Choice
Key Assumption Validation
Review and validate key assumptions influencing demand forecasts (e.g., promotions, market trends).
Describe Promotional Activities Planned
Estimated Impact of Promotional Activities (Units)
Market Trend Influencing Demand
Estimated Impact of Market Trend (Percentage)
Date of Key Market Event
Describe any external factors impacting demand
Competitor Actions Considered
Collaboration and Communication
Ensure effective communication and collaboration with sales, marketing, and other relevant stakeholders.
Summary of Sales & Marketing Input
Communication Method Used (e.g., Meeting, Email, Shared Document)
Date of Last Collaboration Meeting
Stakeholders Involved in Collaboration
Key Decisions Made During Collaboration
Forecast Error Metrics
Monitor and analyze forecast error metrics (e.g., MAPE, MAD, RMSE) to identify areas for improvement.
MAPE (Mean Absolute Percentage Error)
MAD (Mean Absolute Deviation)
RMSE (Root Mean Squared Error)
Bias (Mean Forecast Error)
Forecast Error Trend (Overall)
Forecast Accuracy (%)
Comments on Error Metrics and Analysis
Bias Detection & Correction
Identify and address any consistent bias in the forecasting process (either over or under-forecasting).
Average MAPE over Last Quarter
Primary Bias Type?
Description of Observed Bias
Magnitude of Typical Bias (e.g., % difference)
Date Bias First Noticed
Potential Root Causes Investigated
Corrective Actions Implemented (select all that apply)
Expected MAPE Reduction (%)
Process Documentation & Updates
Maintain updated documentation of the demand planning process and ensure it reflects current practices.
Current Demand Planning Process Documentation Summary
Last Documentation Review Date
Summary of Changes Made to Process Since Last Review
Documentation Version Control Status
Attach Updated Process Flow Diagram
Document Version Number
Next Scheduled Documentation Review Date
System Configuration
Verify the proper configuration of demand planning software and integrations.
Forecast Horizon (in days)
Demand Planning Software Version
Integrated Systems (Select all that apply)
Last System Configuration Review Date
Notes on Configuration Changes
Exception Management
Review and address exceptions or unexpected variances in demand forecasts.
Describe the Exception
Forecasted Demand (Units)
Actual Demand (Units)
Reason for Exception (Select Best Fit)
Date of Exception
Corrective Actions Taken
Exception Status
Reviewer Signature
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