Intelligence · Component · order-traffic-diagnostics
Order-to-traffic anomaly diagnostics
What it does
Selects rising/falling order segments, drills into exact and dashboard-aligned UBT scopes, and identifies traffic/order divergence, partner concentration, geography mismatch and low-base effects.
Core pattern
Segmented metric drilldowns + scope differences and divergence
- Input
- Weekly order segments and UV/PV data
- Output
- Diagnostic JSON/Markdown with drilldowns and scope caveats
Key parameters
| Name | Type | Default | Values |
|---|---|---|---|
| operation | string | select_segments | select_segments · drilldown · diagnose · render |
| run_date | string | — | — |
| filters | — | — | — |
| positive_count | integer | 5 | 0–1000 |
| negative_count | integer | 5 | 0–1000 |
Maturity and limits
Cache-keyed parallel segment queries and explicit diagnostic rules are implemented. Phase 2: source paths and implementation inspected statically; tests and external integrations were not executed. Maturity rates repository implementation, not a verified production deployment.
Order and UBT scopes differ; correlations are hypotheses, not confirmed conversion attribution.
1 sentence citing source paths or vendor names omitted for publication.
Used in pipelines
Industry tags
- Travel & hotelsSource-supported industry
For work involving destinations, room rates and bookings, use segmented metric drilldowns followed by scope differences and divergence.
- Logistics & supply chainTransferable use
For weekly review of warehouse orders and delivery lead times, use segmented metric drilldowns followed by scope differences and divergence.
Skills pack
Contract scaffold and deterministic mock
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