Store closure filings are structured government and commercial real estate records that document facility shutdowns, lease terminations, and workforce reductions at retail locations. The primary public source is the US Department of Labor's WARN (Worker Adjustment and Retraining Notification) Act database, which requires employers with 100+ employees to file 60-day advance notice before plant closings or mass layoffs affecting 50+ workers. [src1] Commercial real estate platforms (CoStar, LoopNet) supplement WARN data with lease termination filings, vacancy listings, and new tenant signings that together paint a complete picture of retail facility changes. [src2]
START — User needs retail facility change signals
├── What type of facility event?
│ ├── Store closures / mass layoffs
│ │ └── Store Closure Filings ← YOU ARE HERE
│ ├── Supply chain / logistics hub changes
│ │ └── Supply Chain Announcements
│ ├── Online traffic decline (no physical component)
│ │ └── Web Traffic Analytics
│ └── General brand health / sentiment
│ └── Social Media Monitoring (not yet covered)
├── Is the target company US-based with 100+ employees?
│ ├── YES → WARN Act data is primary source (free, reliable)
│ └── NO → Commercial RE data only, or international labor databases
└── Do you need real-time or can you wait for monthly updates?
├── Real-time → Commercial RE platforms (paid)
└── Monthly acceptable → WARN database (free)Many WARN filings reflect planned restructuring by healthy companies (e.g., relocating a distribution center, closing a redundant location post-merger). Acting on WARN filings without cross-referencing financial health leads to false distress alerts. [src3]
Combine WARN data with quarterly earnings, debt ratios, and press releases. A WARN filing from a company with declining same-store sales and rising debt is a distress signal; the same filing from a profitable company consolidating after an acquisition is a restructuring signal. [src1]
WARN Act thresholds (100+ employees, 50+ affected workers) mean the majority of small and mid-size retail closures never appear in WARN databases. Treating WARN as a complete census of retail closures creates massive blind spots. [src1]
Use WARN as the high-confidence base layer, supplement with CoStar/LoopNet lease termination data for mid-market coverage, and add press/social monitoring for small-format closures. Each layer has different reliability and latency characteristics. [src2]
WARN requires 60 days advance notice, but many companies file late or use exceptions. Treating WARN filing date as closure date misaligns signal timing. [src1]
The actual closure date is specified in the filing but is at least 60 days after the filing date. Track both filing date (signal date) and stated closure date (action date) separately. [src1]
Misconception: WARN Act filings cover all retail store closures in the US.
Reality: WARN only applies to employers with 100+ employees making cuts affecting 50+ workers at a single site. The majority of US retailers have fewer than 100 employees. [src1]
Misconception: Commercial real estate vacancy data is real-time.
Reality: Lease termination filings lag actual closure decisions by 3-12 months. A retailer may decide to close in January, negotiate lease termination through June, and the vacancy appears in CoStar in July. [src4]
Misconception: Store openings and closures come from different data sources.
Reality: Both appear in the same commercial RE platforms as lease events. New tenant signings (openings) and lease terminations (closures) are structurally identical records requiring directional classification. [src2]
| Signal Source | Key Difference | When to Use |
|---|---|---|
| Store Closure Filings | Government-mandated filings + commercial RE data; highest reliability (5/5) | Tracking physical retail facility changes with high confidence |
| Supply Chain Announcements | Press releases + SEC filings about logistics and suppliers; moderate reliability (3/5) | Detecting upstream operational changes before they become visible in closures |
| Web Traffic Analytics | Estimated online performance metrics; good reliability (4/5) | Monitoring digital retail health and brand erosion for online-first retailers |
Fetch this when an agent needs to detect or verify retail store closures, facility consolidations, or market exits using structured government and commercial real estate data. Most valuable for monitoring competitors' physical retail footprint changes, identifying distressed retailers for acquisition targeting, or spotting market gaps created by competitor withdrawals.