Connected Product Intelligence Platform
Problem & Capability
What & howBillions of products go invisible after manufacturing.
AI continuously interprets location, movement, retail interactions, warehouse scans, consumer engagement and lifecycle history.
Outcome & Strategic Impact
Why it mattersEvolve from labeling company to intelligence platform for physical commerce.
Recurring SaaS, analytics monetization, platform lock-in, ecosystem dependence.
KPI trajectory · Baseline → Target
ExhibitAI explainability — drivers, risks, next 90 days
The Connected Product Intelligence Platform positions Avery Dennison to capture category leadership in physical commerce intelligence, transforming billions of labeled items into recurring digital revenue streams. By leveraging AI-driven insights across the product lifecycle, we unlock new growth platforms, drive platform lock-in, and expand valuation through differentiated, high-margin SaaS and analytics offerings.
- Scale advantage: 28B+ items already connected via atma.io, providing unmatched data foundation.
- Deep ecosystem integration with anchor customers (e.g., Walmart, adidas, Gap/Athleta, Burton) driving network effects.
- Recurring SaaS and analytics revenue model increases gross margin and customer dependence.
- Customer adoption risk if value proposition is not clearly quantified and realized.
- Competitive response from digital-native platforms or incumbent supply chain players.
- Execution risk in scaling platform capabilities and maintaining data security/trust.
- Secure multi-year SaaS/analytics expansion pilots with Walmart and adidas to demonstrate value and lock-in.
- Accelerate roadmap for AI-driven analytics modules targeting inventory optimization and consumer engagement.
- Launch C-level customer summits to align on platform vision, co-innovation, and ecosystem standards.