Home > AI-Driven Clearance Sales Strategies for Kakaobuy Shoes Overstock

AI-Driven Clearance Sales Strategies for Kakaobuy Shoes Overstock

2025-07-27

In today's fast-paced e-commerce landscape, Kakaobuy

The Predictive Decline Detection System

When monitoring New Balance and other premium footwear brands, our platform triggers early warnings for products showing a 35% day-over-day sales decline. The sophisticated analysis includes:

Risk Threshold Response Time Data Points Tracked
-35% sales change 4-6 business hours Price elasticity, Inventory age

Dynamic Promotional Strategies

The system automatically generates tiered discount campaigns when detecting stagnation patterns. For ST574 sneakers recently flagged through this process, it recommended:

  1. Day 1-3: 15% off with free shipping coupon
  2. Day 4-7: 25% flash sale (Android users only)
  3. Day 8+: Bundle deals (2 pairs for 40% off)

This data-driven approach reduced average clearance cycles from 62 to 28 days for test products.

Machine learning predicted sales decline curve for clearance sneakers
Fig 1. Predictive models compare actual vs forecasted sales trajectories
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