Retail Inventory & Pricing Intelligence
Detect inventory buildups, clearance patterns, and promotional intensity before earnings announcements.
The challenge
A fundamental equity fund was tracking inventory and prices of major brands and retailers with costly and brittle in-house scrapers.
How Kadoa solves it
Automated monitoring of inventory levels across retail websites
Detection of clearance sales and promotional intensity changes
Out-of-stock tracking as demand indicator
Historical pricing pattern analysis for seasonality
Maintenance cost
90% reduction
In scraper maintenance
SKU coverage
5x more
Tracked vs. in-house solution
Engineering effort
Zero
Analyst self-service
Kadoa
Scrape dataMonitor
Source
Brand E-commerce
Direct-to-consumer sites
Outlet Sites
Clearance and discount channels
Actions
Track
Inventory levels & pricing
Analyze
Promotional depth & frequency
Destinations
Research Platform
Direct model integration
Extracted data
| Ticker | Category | Inventory Level | Avg Discount % | Week/Week Change | Signal |
|---|---|---|---|---|---|
| LULU | Women's Apparel | High (85% in stock) | 22% | +15% discounts | Elevated inventory |
| NKE | Seasonal Footwear | Medium (62% in stock) | 35% | +20% on sale | Early clearance |
| HD | Power Tools | Low (15% in stock) | 0% | -30% availability | Strong demand |
| TGT | Electronics | High (78% in stock) | 18% | +12% promos | Promotional push |
| PTON | Equipment | Very High (95% in stock) | 30% | New discounts | Inventory pressure |
"We spent 80% of our time fixing broken scrapers instead of analyzing data. Kadoa gave us back our analysts' time while expanding coverage."
— Portfolio Manager, Consumer-Focused Fund
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