CIO-EVT-1 · CIO · Autonomous Supply Chain Event Intelligence
Event Intelligence Engine
Mean time to detect anomaly
1hours
from 18 hours
Anomaly-driven loss prevented
90$M
from 0 $M
Problem & Capability
What & howExecutive problem
Anomalies surface late, often after customer impact.
Capability
AI detects shipment anomalies, counterfeit risk, missing inventory, warehouse bottlenecks and scan inconsistencies.
Outcome & Strategic Impact
Why it mattersBusiness outcome
Real-time intelligent event management.
Strategic impact
Closes the loop between sensing and acting.
KPI trajectory · Baseline → Target
ExhibitAI explainability — drivers, risks, next 90 days
Deploying an Event Intelligence Engine will enable Avery Dennison to proactively detect and address shipment and inventory anomalies in real time, preventing losses and protecting customer trust. This initiative directly supports our leadership in connected packaging by closing the loop between data sensing and operational action, targeting $90M in loss prevention and a dramatic reduction in anomaly detection time.
Drivers
- Unified, trusted product data foundation across atma.io and enterprise systems
- Scalable AI architecture with robust governance and integration
- Direct linkage to customer value for Walmart, adidas, Gap/Athleta, and Burton through improved supply chain reliability
Risks
- Data quality or integration gaps undermining anomaly detection accuracy
- AI governance or compliance lapses exposing the company to regulatory or reputational risk
- Change management challenges slowing adoption across global operations
Next 90 days
- Pilot the Event Intelligence Engine with a top-3 customer to validate business impact and refine KPIs
- Establish cross-functional AI governance and data stewardship protocols
- Integrate real-time anomaly alerts with existing enterprise workflows for rapid response