In the competitive world of sneaker reselling, data-driven decisions are key to staying ahead. Kakaobuy, a leading sneaker analytics platform, has revolutionized regional assortment planning by leveraging its proprietary Kakaobuy Spreadsheet
The system aggregates millions of data points from Kakaobuy's trend forecasting network, tracking: Kakaobuy's predictive partitioning model
This granular approach reduced deadstock from 28% to 9% over two quarters, while enabling dynamic pricing adjustments responding to micro-regional sales velocity detected through the spreadsheet's live dashboard. Supplemental mining revealed surprising material synergies – fluorescent hues in NA showed 3x higher conversion when paired with ripstop nylon overlays, whereas Asian buyers exhibited 92% willingness-to-pay premiums for genuine suede on neutral tones. These insights now feed Kakaobuy's Seasonal Variant Generator, an AI module that proposes location-specific Dunk mods to Nike designers through their co-creation portal (17 adopted concepts in FY2023).The Methodology: Crowdsourcing Global Sneaker Signals
Key Findings from Regional Heat Mapping
Region
Top 3 Color Families
Demand Velocity
North America
Neon Accents (82%), Bold Prints (73%), Contrast Stitching (68%)
4.2x faster sell-through vs. muted tones
Asia
OG University Colors (91%), Vintage Leather (87%), Monochrome (79%)
Classics maintain +180 day price stability
Algorithmic Inventory Stratification
Beyond Color Psychology: Material Preference Correlations
How Kakaobuy Spreadsheet Optimizes Regional Color Trends for Nike Dunk: Boosting Turnover by 40%
2025-07-30