retraining · JOB-9281 · 62%
Models6catalog
Prod healthy4 / 62 need attention
Avg MAPE9.6%↓ 0.4pp wk
Drift hotspots3features
RLHF accept74%↑ 3pp 7d
Active jobs21 queued
Policy verv3.14auto-promoted
Data Health Source Sync Prediction Store Model Catalog Version Detail Training Jobs Drift Monitor RLHF Feedback
Acceptance74%↑ 3pp 7d
Override rate11%↓ 2pp
Reject rate9%stable
Avg reward+0.42reward shaping v3
Effective signals86%of feedback
Active RLHF batch#94ingesting
Live RLHF feedback
planner ↔ AI · last 6 eventsRLHF-8842REC-3318accepted+1.00"perfect carrier swap"k.nair12:41
RLHF-8841REC-3317overridden-0.40"lane policy violation"s.alvarez12:39
RLHF-8840REC-3316accepted+0.80"saved 1.4pp margin"k.nair12:35
RLHF-8839REC-3315rejected-1.00"service risk too high"j.huang12:31
RLHF-8838REC-3314accepted+0.60"good but tight ETA"m.olsen12:28
RLHF-8837REC-3313modified+0.20"chose alt #2"s.alvarez12:24
Feedback quality distribution
signal densityHigh signal (clear reward)62%
Medium signal24%
Low signal / sparse9%
Noisy / discarded5%
Acceptance & reward · 24h
AI improvement over timeLearning velocity
effectiveness trendLearning velocity+12.4%/wkRLHF batch #94 active
Policy evolution
human corrections → policy updates12:08v3.14· ai-policy
Tightened service-impact ceiling 2.0%→1.8%
09:42v3.13· k.nair
Added carrier_reliability ≥ 0.85 constraint
Yesterdayv3.12· ai-policy
Removed legacy fuel hedge override path
2d agov3.11· auto-promote
Promoted reward weighting from RLHF batch #91
4d agov3.10· ai-policy
Lane-risk threshold relaxed 0.42→0.45 (planner feedback)
Recommendation effectiveness
value realized / recommendationMargin uplift / accepted
+1.42pp
vs +1.18pp last week
Cost / overridden
−$184
avg foregone savings
Time-to-decide
38s
↓ from 52s
Human correction impact
+6.1%
acceptance lift after batch