AM
AeroMfgIQ
Aerospace Manufacturing & Supply Chain Intelligence · SAP · MES · QMS · Supplier Portal · Teamcenter
AI learning from 2,847 manufacturing outcomes
ENV: PROD · ROLE: SC ANALYTICS LEAD
Dashboard
TrendIQ 10
DecisionIQ 8
ActionIQ 8
EffectivenessIQ 29
Manufacturing & Supply Chain Operations
Continuous production intelligence across narrowbody and widebody programs — supplier network, factory throughput, quality, and rate recovery
◊ Knowledge graph: 94,318 linked supply chain artifacts
Supplier On-Time Delivery
83%
↑ +4pts vs Q1
Material Availability
90%
↓ −2pts wk/wk
Narrowbody Cycle Time
17d
↓ −3d vs baseline
First-Pass Quality Rate
96%
↑ +1.2pts vs baseline
Open Supply Risks
13
↑ 3 escalated this week
Continuous Intelligence Loop
Signal → Decision → Execution → Outcome → Organizational Learning
● Active across all modules
TrendIQ
10 active signals
→
DecisionIQ
8 initiatives
→
ActionIQ
7 in execution
→
EffectivenessIQ
29 outcomes learned
Supplier On-Time Delivery — 12-week trend
Tier-1 OTD % across active programs
Analyst Time Recaptured
Hours/week saved through AI-assisted analytics
Supply Chain Coverage Health
Visibility by tier and commodity
Signal Mix — Last 30 Days
By risk category
AI Confidence Distribution
Across all active recommendations
Top Supply Chain Risks — AI-prioritized
Highest-impact items pulled from TrendIQ
AI Operational Copilot
Live workflow optimizations the system is recommending now
TrendIQ — Manufacturing & Supply Chain Signal Detection
AI-detected anomalies across SAP, MES, QMS, Ariba, Supplier Portal, Teamcenter, and logistics data streams
● Connected to 11 enterprise systems
Active Signals
10
↑ 3 this week
Pattern Clusters
5
2 emerging
Cross-Domain Correlations
6
3 high-strength
RCAs in Progress
4
Avg conf 87%
AI Recommendations
5
Pending review
Signals 10
Patterns 5
Correlations 6
Root Cause Analysis 4
Recommendations 5
DecisionIQ — Initiative Management
Active manufacturing & supply chain initiatives created from accepted signals, with AI-suggested follow-on tasks
8 active initiatives 10 AI suggestions pending
AI Continuously Recommending
The system is learning from 2,847 historical supply chain outcomes to improve every recommendation below
Initiative owners
93% acceptance
Task owners
88% acceptance
Closure paths
81% accepted
Follow-on tasks
69% accepted
ActionIQ — Execution Coordination
Two-tier Kanban: initiatives at the top, task drill-down on click
Initiatives Kanban
AI Operational Copilot
Live workflow optimizations across the board
Automation Opportunities
Workflows AI can orchestrate end-to-end (with SC analyst signoff)
EffectivenessIQ — Organizational Learning
What worked, what failed, and how the system is getting better at supply chain and manufacturing recommendations
● Continuous learning active
Outcomes Captured
2,847
↑ 162 this month
SME Corrections
107
→ model refinement
Initiative Success Rate
79%
↑ from 72% (Q1)
AI Recommendation Accuracy
85%
↑ 11pts vs baseline
Failed Closures Studied
34
Root-caused
Recent Learning Events
Outcomes from closed initiatives feeding back into the recommendation model
Improvement Over Time
Recommendation acceptance rate by quarter
What's Working (Reinforced)
Patterns the AI is doubling down on
What's Not Working (Down-weighted)
Patterns the AI is moving away from
Add Custom Task
AI has pre-filled this based on the initiative's closure path
AI Pre-fill — Suggestions below are editable. Owner defaults to AI's recommendation.