MRP Forecast Accuracy Review Checklist
Ensure accurate production and minimize stockouts! This MRP Forecast Accuracy Review Checklist helps you analyze and optimize your demand planning, identify forecasting errors, and improve your Material Requirements Planning for a leaner, more responsive supply chain.
This Template was installed 5 times.
Data Sources and Inputs
Review the data sources used for forecast generation and assess their reliability and relevance.
Primary Data Sources Used
Percentage of Sales Data Used
Last Data Refresh Date
Description of External Data Sources
Data Source Accuracy Rating (1-5)
Supporting Data Files (e.g., CSV, Excel)
Forecast Methodologies
Evaluate the chosen forecasting methods (e.g., statistical, collaborative, qualitative) and their suitability for different product categories.
Primary Forecasting Method
Moving Average Period (if applicable)
Smoothing Constant (Alpha) (if applicable)
Secondary Forecasting Methods Used (if applicable)
Justification for Chosen Methodology
Last Methodology Review Date
Historical Data Analysis
Analyze historical sales data, including trends, seasonality, and cyclical patterns, to identify potential forecasting biases.
Number of Years of Historical Data Analyzed
Start Date of Historical Data Review
Summary of Overall Sales Trends (e.g., growth, decline, stability)
Identified Seasonal Patterns (Select all that apply)
Description of any Identified Cyclical Patterns (if applicable)
Average Monthly Sales Volume (last 2 years)
Largest Monthly Sales Volume (last 2 years)
Smallest Monthly Sales Volume (last 2 years)
Forecast Error Metrics
Calculate and analyze key forecast error metrics (e.g., MAPE, RMSE, Bias) to quantify forecast accuracy.
MAPE (Mean Absolute Percentage Error)
RMSE (Root Mean Squared Error)
Bias (Mean Error)
MAD (Mean Absolute Deviation)
Error Metric Threshold (Acceptable Range)
Notes on Error Metric Results
Collaborative Forecast Review
Document the collaborative review process with sales, marketing, and other stakeholders, including feedback and adjustments.
Review Date
Attendees & Roles
Forecast Adjustment Percentage
Key Discussion Points
Factors Influencing Forecast
Action Items (Assigned To)
Due Date for Action Items
Demand Signal Validation
Compare forecast against actual demand and identify any significant discrepancies or patterns.
Actual Demand vs. Forecasted Demand (Units)
Percentage Deviation from Forecast (%)
Explanation for Significant Deviations
Reasons for Deviation (Select all that apply)
Date of Actual Demand Data
Demand Category
Supporting Documentation (e.g., Sales Reports)
System Configuration Audit
Verify the accuracy of system parameters, data mappings, and configuration settings related to forecasting.
Forecast Horizon (in weeks/months)
Demand Forecasting Method
Safety Stock Calculation Method
Last System Configuration Change Date
Data Sources Integrated (select all that apply)
Description of System Parameters and Data Mappings
Exception Reporting
Assess the effectiveness of exception reporting mechanisms for highlighting significant forecast errors and triggering corrective actions.
Forecast Deviation Threshold (Units)
Exception Type
Date of Exception
Description of Exception
Forecasted Quantity
Actual Quantity
Severity Level
Corrective Actions Taken
Root Cause Analysis
Document investigations into major forecast errors, including identification of root causes and corrective actions implemented.
Describe the specific forecast error observed (e.g., over-forecast, under-forecast, timing issue).
Detail the initial investigation steps taken to understand the discrepancy.
Select potential contributing factors (select all that apply)
Explain the identified root cause(s) of the forecast error.
Estimated Impact (in units or monetary value)
Describe corrective actions implemented to address the root cause.
Date Corrective Actions Implemented
Lessons Learned and Recommendations for Future Prevention
Continuous Improvement
Evaluate and document efforts to continuously improve forecast accuracy, including testing of new methodologies or data sources.
Describe proposed improvements to forecasting methodologies.
Target reduction in MAPE (%)
Date improvement implemented
Data Sources to be investigated for increased accuracy
Supporting documentation (e.g., analysis reports, vendor agreements)
Responsible party for improvement implementation
Material Requirements Planning (MRP) Screen Recording
Learn how to effectively manage your inventory and production with ChecklistGuro's Material Requirements Planning (MRP) functionality! This screen recording demonstrates how to use MRP to calculate material needs, plan production schedules, and ensure you always have the right materials on hand. Stop overstocking or facing stockouts - watch to see MRP in action! #MRP #MaterialRequirementsPlanning #InventoryManagement #ProductionPlanning #ChecklistGuro #BPM
Related Checklist Templates
We can do it Together
Need help with Checklists?
Have a question? We're here to help. Please submit your inquiry, and we'll respond promptly.