Inventory Aging Analysis Report (ID: INV105)
1. Introduction
This report provides a detailed analysis of inventory aging within the TUHUND ERP system for Cumberland Trading. It explains how to access the inventory aging report, use available filters and dropdowns, and interpret the results for stock management and financial assessment.
2. Accessing the Inventory Aging Analysis Page
To access the Inventory Aging Analysis Page in the TUHUND ERP system:
- Log in to the TUHUND ERP portal.
- Navigate to Inventory > Reports > Aging Analysis.
- The inventory aging report page will display product-wise stock aging data, including statistical aging measures, values, and cost-related data.
- Use the filters and dropdown menus to refine and analyze specific aging records.
3. Understanding Filters & Dropdowns
The Inventory Aging Analysis Report includes multiple filters to refine records based on specific criteria.
3.1 Filters Available
|
Filter Name |
Description |
Purpose |
|---|---|---|
|
Show |
Filters records based on product status (Exclude Unsold, Only Current Stock, Assume Sold) |
Helps segment aging data |
|
Sort By |
Sorts transactions by Min Age, Max Age, Mean Age, Standard Deviation, Value, Finance Cost, Storage Cost |
Organizes data for better analysis |
|
Order (Ascending/Descending) |
Defines sorting order (A-Z, Z-A) |
Controls data presentation |
|
Entire Organization |
Use this filter to view stock register of specific organisation or branch |
To analyze specific branch or organisation stock data |
|
Date Range (From – To) |
Filters records based on transaction dates |
Analyzes time-based aging trends |
3.2 Dropdown Elements & Their Functions
Show (Sales Type Filter)
This dropdown allows users to filter product sales based on type:
- All Records – Displays all sales transactions.
- Only Products – Filters standard product sales.
- Only Spares & Accessories – Displays sales of spare parts and accessories.
Show (Product Status Filter)
This dropdown allows users to filter inventory aging data based on assumptions:
- Only Current Stock – Shows existing stock without sales assumptions.
- Assume Sold (Various Durations) – Predicts sales occurring over different timeframes (e.g., today, a week, a year).
Sort By Dropdown
Users can sort inventory aging records based on:
- Min Age – Shows the least aged product stock.
- Max Age – Identifies the oldest stock in inventory.
- Mean Age – Displays the average aging across products.
- Median Age – Identifies the middle value in the age distribution.
- Mode Age – Highlights the most frequently occurring stock age.
- Standard Deviation (SD) – Measures variability in stock aging.
- Value – Sorts records based on total inventory value.
- Finance Cost – Orders records based on financial carrying cost.
- Storage Cost – Sorts by storage-related expenses.
Order Dropdown
This controls the sorting order of records:
- Ascending (A-Z or Lowest First) – Displays transactions in increasing order.
- Descending (Z-A or Highest First) – Displays transactions in decreasing order.
Recommendation: If handling large data, sorting by Max Age or Finance Cost helps identify costly aging stock.
4. Understanding the Results Table & Data Comparison
After applying filters, the Inventory Aging Analysis Report displays stock aging data in a structured table.
4.1 Columns in the Results Table
|
Column Name |
Description |
Comparison Basis |
|---|---|---|
|
Product ID |
Unique identifier for the product |
Tracks individual products |
|
Product Name |
Description of the product |
Identifies stock items |
|
Min Age |
Minimum age of stock (in days) |
Identifies least aged inventory |
|
Mean Age |
Average age of stock |
Evaluates inventory turnover |
|
Max Age |
Maximum age of stock (in days) |
Detects oldest inventory |
|
Median Age |
Middle value in the age distribution |
Compares against mean age |
|
Mode Age |
Most frequent stock age |
Highlights dominant aging trend |
|
Standard Deviation (SD) |
Variation in stock age |
Measures age dispersion |
|
Value |
Total stock value |
Assesses financial worth |
|
Finance Cost |
Cost incurred due to stock holding |
Evaluates financial burden |
|
Storage Cost |
Cost of warehousing the stock |
Analyzes storage efficiency |
5. Best Practices for Effective Use
- Regularly update filters to analyze stock aging trends accurately.
- Sort by "Max Age" to identify slow-moving or obsolete stock.
- Monitor "Finance Cost" to minimize unnecessary capital expenditure.
- Use "Standard Deviation" to track stock age variability.
- Investigate high "Storage Costs" to optimize warehouse utilization.
6. Common Issues & Solutions
|
Issue |
Solution |
|---|---|
|
Large amounts of old stock |
Consider markdowns or promotions to move inventory. |
|
High finance cost |
Reduce stock levels to free up capital. |
|
Discrepancies in aging data |
Ensure accurate inventory tracking and updates. |
|
Rising storage costs |
Optimize warehouse layout and remove obsolete stock. |
Key Actions Required:
- Review aging reports regularly to prevent excess old stock.
- Cross-check finance and storage costs to reduce expenses.
- Optimize stock turnover rates to maintain a balanced inventory.
- Identify obsolete stock and implement clearance strategies.
