Real-Time Price Monitoring for Sneaker Resale Market via ACBuy Spreadsheet
In the dynamic world of sneaker reselling platforms like ACBuy, automated price tracking is essential for identifying market manipulation and optimizing procurement strategies. This guide demonstrates how our custom ACBuy spreadsheet tool detects abnormal AJ price fluctuations (e.g., limited-edition hype) and triggers intelligent purchasing recommendations.
Data Capture & Alert Mechanism
- Real-time scraping
- Price surge detection: When a 30%+ price spike occurs within 4 hours, cells turn RED
- Dynamic procurement advice: Auto-generates purchase batches (e.g., "Split order into 3 shipments over 72 hours")
- Price surge detection: When a 30%+ price spike occurs within 4 hours, cells turn RED
IF(PriceDelta >= 0.3, "WARNING: Possible artificial hype | Suggested action: Batch purchase", "Stable market")Size Preference Analytics
| Top 3 Sizes (Men's) | Order Frequency | Return Rate |
|---|---|---|
| US 9.5 / EU 43 | 37% of orders | 8.2% returns |
| US 10 / EU 44 | 29% of orders | 6.7% returns |
| US 8.5 / EU 42 | 18% of orders | 9.9% returns |
The system prioritizes procurement of sizes with <7% return rate while flagging high-return sizes for quality inspection.
Implementation Example
Scenario:
Automated Response: Access live demo: ACBuy API Portal