saravanakumardb1
a31fdfe55a
feat(predictive-analytics): complete admin UI for churn prediction and health scoring
...
- Add health-dashboard page with 6-dimension health cards and anomaly detection
- Add predictive/at-risk page with user risk profiles and segmentation
- Add predictive/campaigns page with campaign management and stats
- Add predictive-client.ts API client with full type coverage
- Update all 3 roadmaps to reflect complete implementation status
2026-03-03 13:48:37 -08:00
saravanakumardb1
8749aa211d
fix(feedback-client): update tests to use fetch instead of post
2026-03-03 12:26:02 -08:00
saravanakumardb1
7714ab51fb
fix(events): add missing platform event schemas for campaign engine and notifications
2026-03-03 12:24:39 -08:00
saravanakumardb1
03cda3a74f
fix(platform-service): resolve type errors in diagnostics and ab-testing modules
2026-03-03 12:22:35 -08:00
saravanakumardb1
914e344a92
fix(feedback-client): correct ApiClient method usage and types
2026-03-03 12:20:43 -08:00
saravanakumardb1
97b3ffb21d
feat(ai-diagnostics): add LLM analyzer with prompts and insight generation [2.1-2.2]
2026-03-03 11:52:12 -08:00
saravanakumardb1
1ff02934fa
feat(ai-diagnostics): add telemetry linking and context enrichment [1.3]
2026-03-03 11:50:28 -08:00
saravanakumardb1
8951ab2c92
feat(ai-diagnostics): add HDBSCAN clustering algorithm [1.2.3]
2026-03-03 11:49:05 -08:00
saravanakumardb1
917ea03af9
feat(ai-diagnostics): add vector search repository with cosmos integration [1.2.2]
2026-03-03 11:48:12 -08:00
saravanakumardb1
50b7e22985
feat(ai-diagnostics): add Azure OpenAI embedding pipeline [1.2.1]
2026-03-03 11:47:12 -08:00
saravanakumardb1
8cdddd7c23
feat(ai-diagnostics): implement error normalization and fingerprinting [1.1.3]
2026-03-03 11:45:52 -08:00
