Home > Machine-Learning Driven Inventory Clearance: Predicting Unsold Risk for Kakaobuy Shoes

Machine-Learning Driven Inventory Clearance: Predicting Unsold Risk for Kakaobuy Shoes

2025-05-22
Product 1

Jordan 4 Retro (40 color)-0001

$34.25
Product 1

AirPods 3-0102

$7.53
Product 1

casabianca(40 styles)-1146

$25.89
Product 1

Prada Casual Sneakers (22 color)-0015

$38.08
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dior b22-b23-0027

$45.21
Product 1

AMIRI MA-1-0024

$71.23
Product 1

Dior B30 Series (20 style)-0416

$45.21
Product 1

Denim tears T-shirt -0930

$9.32
Product 1

Rolex watches (3 qualities 14 styles)-0396

$52.05
Product 1

GOYARD Fashion bags-0182

$9.45
Product 1

OG Balenciaga speed-1047

$44.93
Product 1

2024 New Jordan 4 (12 colors)-0010

$38.36
Product 1

New Balance 9060 series (20 style)-0011

$38.36
Product 1

dunk low （30 color）-0003

$19.18
Product 1

Louis Vuitton fashion bag-0185

$47.95
Product 1

Club football jersey-0948

$9.32
Product 1

AMIRI hat-0662

$13.56
Product 1

LV bucket bag（10 styles）-0187

$54.66
Product 1

Balenciaga Triples (7 styles) -0515

$82.19
Product 1

LV belt （36 style）-0246

$11.64

In the fast-paced world of e-commerce, Kakaobuy

Sales Velocity Analytics for Early Warning Signs

Our proprietary algorithm tracks multiple performance indicators:

Metric Alert Threshold Intervention Window
Daily Sales Drop ≥35% decline 48-72 hours
Inventory Turnover <0.5x category average 1 week
Cart Abandonment Rate 5% above baseline Real-time

Automatic Promotions Engine

When our system detects a product entering the danger zone (e.g., NB 574s tripping the 35% sales drop trigger), it generates a dynamic response:

  1. Tiered Discounting:
  2. Coupon Stacking:
  3. Channel Optimization:
Case Study: Knee-high boots that lingered for 6+ weeks cleared within 11 days using preemptive 20% "early bird" discounts before reaching critical oversupply status.
Sales Decay Curve Predictive Model
Fig1. Machine learning model predicting inventory stagnation risk (data sample)

Implementation Best Practices

  • Daily monitoring for trending search terms related to clearance products
  • A/B testing discount messaging across email/SMS/display ads
  • Inventory allocation based on regional demand forecasts

Early adopters at Kakaobuy News

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