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    Stock Ageing Report in O2VEND – Complete Inventory Ageing Analysis Guide

    A comprehensive guide to understanding, configuring, and analyzing ageing-based inventory insights in O2VEND.

    The Stock Ageing Report enables businesses to track how long each product remains in inventory. Ageing analytics support informed decision-making in purchasing, sales strategies, dead stock identification, warehouse optimisation, and capital planning.

    This report is a powerful analytical tool designed to optimise inventory performance, improve stock turnover rates, reduce holding costs, and strengthen data-driven procurement strategies.
    It delivers detailed visibility across brands, categories, branches, and defined ageing intervals, ensuring better operational control and enhanced financial decision-making.

    Inventory is segmented into ageing buckets—such as 0–30 days, 30–60 days, 60–90 days, and 90+ days—with corresponding quantities and stock valuation for each period.

    Where to Access the Report

    Navigate to:

    Reports → Inventory Reports → Stock Ageing Report

    Purpose of the Stock Ageing Report

    The Stock Ageing Report provides a structured breakdown of how long each SKU has remained in inventory.
    This report supports critical business functions such as cash-flow optimization, procurement planning, warehouse utilization, and stock rotation.

    Key outcomes include:

    • Accurate visibility into ageing inventory
    • Early identification of slow-moving or non-moving stock
    • Financial valuation based on ageing periods
    • Stronger purchase decisions backed by historical ageing data
    • Reduction of capital blocked in unsold inventory
    • Improved auditing and compliance documentation

    1. Filters & Parameters – Detailed Technical Explanation

    Filters refine stock ageing results to provide precise analytical insights.


    Product Search

    Filters the report by:

    • Product name
    • SKU code
    • GTIN / Barcode

    Ideal for isolating individual products in large catalog environments.


    Brand Filter

    Displays ageing values by brand.
    Useful for evaluating:

    • Brandwise stock rotation
    • Vendor efficiency
    • Ageing trends for specific product families

    Category Filter

    Supports multi-level category segmentation:

    Main Category → Subcategory → Sub-subcategory

    Provides clarity on category-level ageing behavior, aiding strategic assortment planning.


    Branch / Warehouse Selector

    Displays ageing results specific to:

    • Individual branches
    • Central warehouses
    • Online vs. offline storage locations

    Warehouse-level ageing prevents mixing of stock timelines across locations.


    2. Report Data Columns – Full Professional Explanation

    Each column contributes to accurate valuation and ageing segmentation.


    Product Name

    Represents the registered product name from the inventory master.


    Brand Name

    Indicates the associated brand of the product.
    Assists in brand-level forecasting, vendor returns, and clearance planning.


    Categories Name

    Shows the category hierarchy mapped to the product.
    Useful for analysing ageing patterns within entire product groups.


    3. Ageing Buckets – Detailed Insights (Qty & Value)

    Ageing buckets divide inventory into clear time-based segments.
    Each bucket contains:

    • Qty → The number of units in that age group
    • Value → Total cost value of those units

    Buckets display as follows:


    0–30 Days

    Represents newly added stock.
    Ideal for regular rotation and standard sales cycles.


    30–60 Days

    Displays moderately aged stock.
    May indicate slower movement for seasonal or less popular items.


    60–90 Days

    Represents significantly aged stock.
    Requires close monitoring due to potential storage and holding costs.


    > 90 Days

    Critical segment indicating:

    • Dead stock
    • Stagnant inventory
    • Possible obsolescence
    • High capital blockage

    Items in this category usually need immediate clearance strategies.


    4. Age Bucket Configuration

    The Configuration Panel allows customization of ageing ranges.

    Default setup: First Quarter: 0 → 30 days Second Quarter: 30 → 60 days Third Quarter: 60 → 90 days Fourth Quarter: > 90 days


    5. Export Features

    The Export All option generates a downloadable file containing:

    • Complete ageing data
    • Warehouse-level breakdown
    • SKU-level valuation
    • Category-wise summaries

    Benefits include:

    • Integration into accounting audits
    • Independent financial analysis
    • Vendor performance evaluation
    • Archival for compliance and records

    6. Advanced Business Insights from Ageing Data

    Slow-Moving Stock Detection

    Ageing segments (especially 60–90 and 90+) help identify stock needing promotional or clearance actions.


    Stock Valuation & Financial Health

    Ageing determines asset value accuracy for financial statements and audits.


    Warehouse Efficiency Improvement

    Aged inventory occupies valuable storage space.
    Ageing data guides warehouse optimization and shelf allocation.


    Strategic Purchase Planning

    Ageing trends indicate:

    • Products that should be reordered less
    • Products needing limited quantities
    • High-risk stock groups

    Inventory Turnover Enhancement

    Reducing >90-day ageing improves overall turnover ratio, benefiting operational cash flow.


    7. Industry-Specific Use Cases

    Jewellery & Fashion

    Trend-based industries rely heavily on ageing to prevent outdated stock.

    Electronics

    Ensures products do not lose value due to rapid technological shifts.

    FMCG & Supermarkets

    Supports FEFO (First Expired First Out) planning and expiry management.

    Manufacturing

    Tracks ageing of raw materials, components, and finished goods.



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