Quarterly Markdown Performance and Inventory Management Review
Track and analyze markdown effectiveness, inventory turnover, and margin impact across discount store locations, focusing on quarterly trends and category-level performance to optimize pricing strategies and inventory health.
Report Objective
Monitor and evaluate markdown strategy effectiveness through analysis of sell-through rates, margin impact, and inventory aging, with particular focus on seasonal merchandise clearance and promotional performance across store locations and departments.
Markdown Performance Analysis
Bar and line charts showing markdown sell-through rates and margin impact
Questions to Consider:
How effective are our markdowns at clearing aged inventory?
What is the margin impact of markdowns by category?
Which price reduction thresholds show optimal sell-through rates?
How do markdown performance metrics vary by store location?
What markdown depth provides optimal sell-through?
How does category affect markdown effectiveness?
Are there diminishing returns at higher markdown levels?
Which categories maintain margins best under markdown?
How does markdown depth correlate with margin erosion?
Are there categories requiring markdown strategy adjustment?
Inventory Aging and Turnover
Histogram of inventory age distribution and trend analysis of turnover rates
Questions to Consider:
What is the current age distribution of our inventory?
How has inventory turnover changed quarter-over-quarter?
Which categories show concerning aging patterns?
What percentage of inventory is at risk of requiring deeper markdowns?
What percentage of inventory is aged beyond target?
How does the age distribution vary by category?
Are there seasonal patterns in inventory aging?
What is the trend in turnover rates?
Which categories show improving/declining turnover?
How do turnover rates compare to targets?
Category Performance
Comparative analysis of markdown effectiveness by department
Questions to Consider:
Which categories demonstrate the best markdown response?
How do seasonal items perform in clearance?
What is the margin erosion by category?
Are there patterns in markdown timing that correlate with better performance?
category
markdown_depth
sell_through_rate
margin_impact
Women's Wear
32%
40%
−16%
Men's Wear
33%
83%
−32%
Home Goods
19%
23%
−24%
Electronics
64%
73%
−5%
Seasonal
43%
52%
−13%
Women's Wear
19%
91%
−28%
Men's Wear
37%
48%
−14%
Home Goods
72%
50%
−19%
Electronics
71%
71%
−25%
Seasonal
45%
26%
−22%
Which categories require markdown strategy adjustment?
How do performance metrics correlate across categories?
What are the best and worst performing categories?