In the fast-paced world of e-commerce, Kakaobuy's shoe clearance divisionAI-driven excess inventory early warning system, revolutionizing how fashion retailers handle slow-moving products like discounted New Balance sneakers.
Machine Learning-Powered Sales Decay Analysis
Our proprietary algorithm tracks 14 key metrics to build dynamic sales attenuation curves for each SKU:
| Activation Threshold | Monitoring Cycle | Key Indicators |
|---|---|---|
| 25% sales drop | 72-hour rolling | Add-to-cart abandonment |
| 35% sales decline | 48-hour intensive | Discount effectiveness |
Smart Promotion Engine
When detecting a 35% daily sales decrease (like recent New Balance 574 models), the system automatically deploys:
- Tiered discounting: progressive markdowns at 5-day intervals
- Personalized coupon bundles: matched to individual buyer's cart value
- Cross-category promotion triggers with complementary apparel
Impact Measurement
During Q2 clearance events, this system achieved:
- 78% faster stock turnover
- 27% reduction in final liquidation discounts
- 42% improvement in customer retention rates
Future Advancements
The next iteration will incorporate weather pattern analysis and regional buying trends to dynamically adjust localized promotion strategies before inventory becomes stagnant.
Explore our latest inventory optimization techniques at Kakaobuy News