A regional fashion brand struggled with slow inventory turnover and steep margin losses from last-minute markdowns. TechWish implemented an AI-powered clearance pricing engine that dynamically adjusted discounts using live sell-through rates, weather trends, and demand signals. The solution transformed markdown planning, reduced unsold stock, and boosted realized prices—giving store teams smarter tools to act early and recover margins across high-volume categories like outerwear and seasonal accessories.
Fashion Retailer Cuts Unsold Inventory by 25.6% with AI-optimized Clearance Pricing
Key Metrics
25.6% Reduction in Unsold Inventory
Improving stock turnover and revenue.
12.3% Increase in Realized Clearance Price
Per unit sold, through better-timed markdowns.
$1.08M in Margin Recovery
Through optimized markdown timing.
Faster Cash Flow
From reduced excess inventory and improved liquidation velocity.
