Verified scope
- Production stack: Docker, PostgreSQL and scheduled workers
- Seventeen active scheduled jobs across scanning, enrichment, monitoring and reporting
- Public construction tenders are filtered through explicit eligibility rules
- Uncertain or commercially consequential decisions fail closed to human review
The operating problem
Public tender data is distributed across listings, documents, dates and later result records. A useful system must preserve source context, distinguish eligibility from prediction and continue tracking after the first alert.
The workflow therefore treats scanning, enrichment, prediction, result monitoring and operator notification as separate stages with recorded state.
The production pattern
Browser-based collection reads the official tender interface, eligibility gates remove known out-of-scope work and enrichment adds structured cost-band and institutional context. Qualified records are delivered to an operator through a controlled notification path.
Scheduled checks follow published results and compare earlier estimates with later outcomes. Alerts, retries and stored provenance make silent loss less likely than a one-off scraping script.
Safety and measurement
The system uses a fail-closed approach. Missing or uncertain inputs are marked for manual review instead of being converted into invented values. Pricing and bid decisions remain human responsibilities.
Model evaluation uses forward-looking tests designed to avoid information that would not have been known at prediction time. This case demonstrates production operations and measurement discipline—not guaranteed prediction accuracy.
What this page does not claim
No claim is made about tender win rate, guaranteed savings, autonomous bidding or a customer financial return.