Monthly Inventory Aging Analysis Report

Track and analyze inventory aging patterns across product categories, focusing on stock levels, aging distribution, and markdown effectiveness to optimize inventory health and reduce carrying costs.

Report Objective

Monitor inventory aging trends and identify opportunities to optimize stock levels and reduce aged inventory through strategic markdowns and category-specific actions. This monthly analysis supports inventory management decisions and helps maintain healthy stock turnover rates.

Inventory Aging Distribution

Bar chart showing inventory value distribution across aging buckets and product categories

Questions to Consider:

0-30 days31-60 days61-90 days91-180 days180+ daysaging_bucket$0$5,000,000$10,000,000$15,000,000$20,000,000$25,000,000sum(inventory_value)sum(inventory_value)How is Inventory Distributed Across Aging Buckets?45% of inventory is under 60 days old, with 15% in the critical 180+ days category

  • What percentage of inventory falls into each aging bucket?

  • How does the current aging distribution compare to target levels?

  • Which aging buckets show concerning growth trends?

  • Which categories have the highest proportion of aged inventory?

  • How do aging patterns vary across different product types?

  • Are there specific categories requiring immediate attention?

Women's WearMen's WearAccessoriesFootwearKidsIntimatesproduct_category$0$5,000,000$10,000,000sum(inventory_value)sum(inventory_value)Which Product Categories Have the Most Aged Inventory?Seasonal categories show higher aged inventory levels

Category Performance Analysis

Line chart tracking days on hand by product category over time

Questions to Consider:

Mar 2023Apr 2023May 2023report_date607080sum(days_on_hand) vs. product_categorysum(days_on_hand)product_categoryHow Are Days on Hand Trending by Category?Most categories showing improved turnover rates except seasonal items

  • Which categories show improving or worsening trends in days on hand?

  • Are there seasonal patterns in inventory aging?

  • How do current days on hand compare to targets?

Markdown Effectiveness

Bar chart showing sell-through rates at different markdown levels

Questions to Consider:

  • What markdown levels drive the best sell-through rates?

  • How do markdown responses vary by aging bucket?

  • What is the optimal markdown strategy for different product categories?

No Markdown0-25% Off26-50% Off51-75% Off75%+ Offmarkdown_level0%200%400%600%800%1000%sum(sell_through_rate)sum(sell_through_rate)How Effective Are Current Markdown Levels?50%+ markdowns needed to achieve significant sell-through on aged inventory

Potential Areas of Additional Focus