How to Clean Bad Inventory Data: A Practical Guide to Restoring Inventory Accuracy
Struggling with inaccurate inventory data? You're not alone… and it's costing more than you think.
How to Clean Bad Inventory Data: A Practical Guide to Restoring Inventory Accuracy offers a structured, hands-on approach to identifying, correcting, and preventing inventory data issues that lead to stockouts, excess, and lost revenue.
This 25-page guide includes:
Step-by-step audit and cleanup processes
Naming and coding standardization
Error identification tools and checklists
Proven strategies to prevent minimize data issues
Guidance on setting up long-term inventory governance
Whether you're a warehouse manager, supply chain analyst, or business owner, this book gives you the tools to restore data integrity and build a foundation for better forecasting, automation, and profitability.
📘 Available now — because clean data isn’t a luxury, it’s a requirement.
Table of Contents
Chapter 1: The Hidden Cost of Bad Inventory Data
Why Clean Inventory Data Matters
The Real-World Impacts of Bad Inventory Data
Objective of This eBook
Who This eBook Is For
What’s Next?
Chapter 2: Inventory Data Audit
How to Run a Physical Count (Cycle Counts vs. Full Counts)
Comparing System Data with Physical Data
Identifying High-Error Categories (e.g., Specific SKUs, Bins, Categories or Teams)
Checklist
Next Steps
Chapter 3: Standardizing Inventory Data
Naming Conventions for SKUs
Standard Units of Measure (UoM)
Location Codes and Labeling Consistency
Checklist
Next Steps
Chapter 4: Fixing and Removing Bad Data
Merging Duplicate SKUs
Correcting Quantity Errors
Archiving or Deactivating Obsolete or Inactive Items
Correcting Bills of Materials (BoMs)
Managing Adjustments Without Corrupting Financial Records
Checklist
Next Steps
Chapter 5: Preventing Future Data Problems
Role-Based Access to Inventory Changes
Training for Inventory and Warehouse Staff
Implementing System Controls (Mandatory Fields, Validation Rules)
Use of Barcode Scanning and Automation
Checklist
Next Steps
Chapter 6: Ongoing Maintenance and Governance
Cycle Counting Program Setup
Monthly Data Integrity Checks
Inventory KPIs to Monitor Accuracy
Who Is Responsible for Ongoing Data Health
Checklist
Next Steps
Conclusion
Recap of Actions Taken
Summary of Benefits from Data Cleaning
Next Steps: Automation, ERP Upgrades, Better Forecasting
Full Cleaning Checklist (Summary Version)
Struggling with inaccurate inventory data? You're not alone… and it's costing more than you think.
How to Clean Bad Inventory Data: A Practical Guide to Restoring Inventory Accuracy offers a structured, hands-on approach to identifying, correcting, and preventing inventory data issues that lead to stockouts, excess, and lost revenue.
This 25-page guide includes:
Step-by-step audit and cleanup processes
Naming and coding standardization
Error identification tools and checklists
Proven strategies to prevent minimize data issues
Guidance on setting up long-term inventory governance
Whether you're a warehouse manager, supply chain analyst, or business owner, this book gives you the tools to restore data integrity and build a foundation for better forecasting, automation, and profitability.
📘 Available now — because clean data isn’t a luxury, it’s a requirement.
Table of Contents
Chapter 1: The Hidden Cost of Bad Inventory Data
Why Clean Inventory Data Matters
The Real-World Impacts of Bad Inventory Data
Objective of This eBook
Who This eBook Is For
What’s Next?
Chapter 2: Inventory Data Audit
How to Run a Physical Count (Cycle Counts vs. Full Counts)
Comparing System Data with Physical Data
Identifying High-Error Categories (e.g., Specific SKUs, Bins, Categories or Teams)
Checklist
Next Steps
Chapter 3: Standardizing Inventory Data
Naming Conventions for SKUs
Standard Units of Measure (UoM)
Location Codes and Labeling Consistency
Checklist
Next Steps
Chapter 4: Fixing and Removing Bad Data
Merging Duplicate SKUs
Correcting Quantity Errors
Archiving or Deactivating Obsolete or Inactive Items
Correcting Bills of Materials (BoMs)
Managing Adjustments Without Corrupting Financial Records
Checklist
Next Steps
Chapter 5: Preventing Future Data Problems
Role-Based Access to Inventory Changes
Training for Inventory and Warehouse Staff
Implementing System Controls (Mandatory Fields, Validation Rules)
Use of Barcode Scanning and Automation
Checklist
Next Steps
Chapter 6: Ongoing Maintenance and Governance
Cycle Counting Program Setup
Monthly Data Integrity Checks
Inventory KPIs to Monitor Accuracy
Who Is Responsible for Ongoing Data Health
Checklist
Next Steps
Conclusion
Recap of Actions Taken
Summary of Benefits from Data Cleaning
Next Steps: Automation, ERP Upgrades, Better Forecasting
Full Cleaning Checklist (Summary Version)
Struggling with inaccurate inventory data? You're not alone… and it's costing more than you think.
How to Clean Bad Inventory Data: A Practical Guide to Restoring Inventory Accuracy offers a structured, hands-on approach to identifying, correcting, and preventing inventory data issues that lead to stockouts, excess, and lost revenue.
This 25-page guide includes:
Step-by-step audit and cleanup processes
Naming and coding standardization
Error identification tools and checklists
Proven strategies to prevent minimize data issues
Guidance on setting up long-term inventory governance
Whether you're a warehouse manager, supply chain analyst, or business owner, this book gives you the tools to restore data integrity and build a foundation for better forecasting, automation, and profitability.
📘 Available now — because clean data isn’t a luxury, it’s a requirement.
Table of Contents
Chapter 1: The Hidden Cost of Bad Inventory Data
Why Clean Inventory Data Matters
The Real-World Impacts of Bad Inventory Data
Objective of This eBook
Who This eBook Is For
What’s Next?
Chapter 2: Inventory Data Audit
How to Run a Physical Count (Cycle Counts vs. Full Counts)
Comparing System Data with Physical Data
Identifying High-Error Categories (e.g., Specific SKUs, Bins, Categories or Teams)
Checklist
Next Steps
Chapter 3: Standardizing Inventory Data
Naming Conventions for SKUs
Standard Units of Measure (UoM)
Location Codes and Labeling Consistency
Checklist
Next Steps
Chapter 4: Fixing and Removing Bad Data
Merging Duplicate SKUs
Correcting Quantity Errors
Archiving or Deactivating Obsolete or Inactive Items
Correcting Bills of Materials (BoMs)
Managing Adjustments Without Corrupting Financial Records
Checklist
Next Steps
Chapter 5: Preventing Future Data Problems
Role-Based Access to Inventory Changes
Training for Inventory and Warehouse Staff
Implementing System Controls (Mandatory Fields, Validation Rules)
Use of Barcode Scanning and Automation
Checklist
Next Steps
Chapter 6: Ongoing Maintenance and Governance
Cycle Counting Program Setup
Monthly Data Integrity Checks
Inventory KPIs to Monitor Accuracy
Who Is Responsible for Ongoing Data Health
Checklist
Next Steps
Conclusion
Recap of Actions Taken
Summary of Benefits from Data Cleaning
Next Steps: Automation, ERP Upgrades, Better Forecasting
Full Cleaning Checklist (Summary Version)
