Inventory planners
Set practical stock policies using demand and lead-time evidence.
Inventory Decision Tools
Create inventory aging buckets, quantify old stock value and receive disposal or replenishment actions.
Group stock by age and quantify the value exposed in old inventory buckets. Files are processed locally in your browser.
Upload a CSV or Excel file to begin.
Business context
Inventory aging shows how long stock has remained on hand. Older inventory may require demand review, transfer, promotion, return, write-down or disposal, but age should be considered together with shelf life, criticality and future demand.
This guidance is designed for people who need to use inventory aging analyzer results in a real approval, planning or operational workflow.
Set practical stock policies using demand and lead-time evidence.
Identify slow, excess and high-priority stock for action.
Protect availability while controlling working capital.
Input guide
| Column | Purpose | Example |
|---|---|---|
| Item / Batch * | SKU and batch or receipt reference where relevant. | FG-210 / B2407 |
| Receipt Date * | Date the current stock entered inventory. | 2025-11-20 |
| On-hand Quantity * | Current quantity represented by the receipt or batch. | 480 |
| Unit Cost * | Cost used to calculate aged inventory exposure. | 125 |
| Expiry Date | Optional shelf-life limit. | 2026-09-30 |
Mapping note: Use consistent dates, currencies, units and definitions. A correct calculation based on inconsistent inputs can still lead to a poor decision.
Use the analysis as a controlled decision-support step: prepare reliable data, review the exceptions, verify the cause and document the action taken.
Clean the source data and confirm the required fields and reporting period.
Run the tool and prioritise the most important inventory age results.
Validate the cause with contracts, transactions and operational evidence.
Assign actions, export the report and measure improvement in the next cycle.
Decision support
These actions are practical review priorities. Apply your organisation's approval limits, tolerance rules and contractual requirements.
Immediate
Start with records that have the greatest financial, service or operational effect. Confirm the source data before taking action.
Next
Separate genuine performance or demand movement from data quality, timing, unit, currency and process issues.
Monitor
Run the analysis on a consistent schedule, record decisions and compare whether corrective actions improve the next period.
Practical examples
The same result can require a different response depending on product criticality, shelf life, contract terms, service impact and available alternatives.
A batch approaches expiry with low recent demand.
Expected outcome: The stock is prioritised for transfer or controlled promotion.
Older model inventory remains after a product update.
Expected outcome: The business reviews markdown and provisioning.
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.
No. CSV and Excel processing runs locally in your browser.
Use it as an operational decision aid. Confirm accounting, tax and write-off decisions with your finance policy and authorised reviewers.
Repeat it monthly or quarterly, and more frequently for high-value, seasonal, perishable or volatile inventory.