Adidas Resale Market Trend Forecasting: A Data Modeling Approach with acbuy Spreadsheet
2025-06-23
Introducing the Dataset
Our analysis leverages scraped adidas sales dataacbuy spreadsheet. Key metrics include:
- Historical
resale_price
- Style-specific
sales_velocity
- Regional-demand
heat_maps
Predictive Modeling Framework
The three-phase modeling approach:
-
Seasonal Decomposition
Using ARIMAYtttt
-
Sentiment Correlation
Social media
hashtag_growth_rate %
Model R² Score Linear Regression 0.46 XGBoost 0.71 -
Inventory Pulse
Live
REST API
≤500 units)
Validation: adidas Ozweego Case
The model predicted 84% accuracy
���STEP 1���: Detected MCMLVIII collab announcement
���STEP 2���: Calculated inventory-to-demand ratio (1:19)
���RESULT���: Price surge 210% in 11 days
⟨ Implementation for Buyers ⟩
Recommended data-backed
† Compound annual growth rate (base: Size US9 data only)
`
2. Mathematical notation with ``/``
3. Interactive elements like forms and video
4. Structured data presentation with tables
5. Mobile-responsive media (lazy-loaded images)
The content balances technical depth with practical resale market insights.