Inventory planners
Set practical stock policies using demand and lead-time evidence.
Inventory Decision Tools
XYZ Inventory Analysis Online Free
Measure demand variability and classify items as predictable X, moderate Y or volatile Z inventory.
XYZ Demand Variability Analysis
Separate predictable and volatile items using demand variation across up to six periods. Files are processed locally in your browser.
Upload a CSV or Excel file to begin.
Business context
The business problem this tool helps solve
XYZ analysis groups items by demand predictability. Stable X items can use routine replenishment, variable Y items need seasonal or trend review, and erratic Z items require cautious stocking and closer operational judgement.
What can happen when the issue is ignored
- • Same forecast method used for all items
- • Erratic demand creates excess stock
- • Seasonality ignored
- • Unstable items receive automatic replenishment
Who should use this tool?
This guidance is designed for people who need to use xyz inventory analysis results in a real approval, planning or operational workflow.
Warehouse teams
Identify slow, excess and high-priority stock for action.
Retail and operations managers
Protect availability while controlling working capital.
Input guide
Prepare the inputs before calculation
| Column | Purpose | Example |
|---|---|---|
| Item * | SKU or material identifier. | FG-210 |
| Period Demand * | Demand by month, week or another consistent period. | 120, 118, 126... |
| Minimum Periods | Enough history to represent seasonality and variability. | 12 months |
Mapping note: Use consistent dates, currencies, units and definitions. A correct calculation based on inconsistent inputs can still lead to a poor decision.
From raw data to a business decision
Use the analysis as a controlled decision-support step: prepare reliable data, review the exceptions, verify the cause and document the action taken.
- STEP 1
Prepare
Clean the source data and confirm the required fields and reporting period.
- STEP 2
Analyse
Run the tool and prioritise the most important demand variability results.
- STEP 3
Investigate
Validate the cause with contracts, transactions and operational evidence.
- STEP 4
Act and review
Assign actions, export the report and measure improvement in the next cycle.
Decision support
Recommended next actions
These actions are practical review priorities. Apply your organisation's approval limits, tolerance rules and contractual requirements.
- 1
Immediate
Review the material demand variability exceptions
Start with records that have the greatest financial, service or operational effect. Confirm the source data before taking action.
- 2
Next
Identify the business cause
Separate genuine performance or demand movement from data quality, timing, unit, currency and process issues.
- 3
Monitor
Create a repeatable review
Run the analysis on a consistent schedule, record decisions and compare whether corrective actions improve the next period.
Practical review tips
- • Use one reporting period and consistent definitions.
- • Review high-value exceptions before low-value noise.
- • Keep operational context with the analysis.
Common mistakes
- • Using incomplete or stale records.
- • Mixing units, currencies or reporting periods.
- • Taking action without checking the underlying transaction.
Good control practices
- • Define thresholds before reviewing results.
- • Assign each action to an owner and due date.
- • Retain the exported report with management decisions.
Practical examples
How teams use this analysis
The same result can require a different response depending on product criticality, shelf life, contract terms, service impact and available alternatives.
Retail
Staples sell consistently while promotional products are erratic.
Expected outcome: Different replenishment rules are assigned by class.
Spare parts
A repair part has rare, unpredictable usage.
Expected outcome: Stocking is based on criticality and lead time rather than average demand alone.
What this tool solves
This file-based inventory analysis turns stock records into prioritised classifications, financial exposure and recommended next actions. It is designed to help users decide what to control tightly, reduce, stop replenishing or investigate.
Common use cases
- ✓ Warehouse and retail inventory reviews
- ✓ Procurement and replenishment policy decisions
- ✓ ERP or spreadsheet data analysis
- ✓ Working-capital and obsolete-stock reviews
How to use it
- Upload a CSV or Excel inventory file.
- Review or correct the detected column mapping.
- Run the analysis and inspect priority items.
- Download the report and validate actions with operational owners.
Important assumptions
- • Use consistent quantities, dates and unit costs.
- • Classification thresholds are planning rules and may need adjustment for your industry.
- • Validate returns, markdowns, transfers and write-offs through authorised business processes.
Continue your inventory workflow
Frequently asked questions
Does this tool upload my inventory file?
No. CSV and Excel processing runs locally in your browser.
Can I use the result as an accounting valuation?
Use it as an operational decision aid. Confirm accounting, tax and write-off decisions with your finance policy and authorised reviewers.
How often should the analysis be repeated?
Repeat it monthly or quarterly, and more frequently for high-value, seasonal, perishable or volatile inventory.