PLC and SCADA systems excel at controlling production, but they capture only a fraction of the physical signals that reveal emerging equipment failures. Understanding the gap between production data and diagnostic data is essential to building effective predictive maintenance strategies.
AI, Blockchain & IoT in Traceability
This section focuses on the emerging technologies that are reshaping traceability. Artificial Intelligence, blockchain, and the Internet of Things are at the core of digital transformation, enabling smarter data capture, greater transparency, and new models for compliance and sustainability. Read More
The Hidden Factory: How Predictive Maintenance Defends Your OEE
Up to half of your plant's capacity may be disappearing into unrecorded micro-stops and unnoticed quality issues. Learn how real-time machine monitoring transforms hidden losses into measurable productivity gains.
Stretching the Warning Window: IoT, Edge and the P–F Interval
How real-time machine condition monitoring and edge intelligence turn days of warning into months, enabling smarter maintenance decisions and greater equipment reliability.
Can AI Solve Logistics’ Talent Shortage? Why Visibility and Human Expertise Must Work Together
As logistics teams face growing talent shortages and increasing supply chain complexity, AI and visibility technologies are becoming essential enablers. The future lies not in replacing people, but in empowering them with real-time insights, automation, and smarter decision-making tools.
Blockchain Traceability: What It Solves and Where It Adds Real Value
Explore how blockchain enhances traceability by improving data integrity, transparency, and trust across supply chains—while understanding its limitations and the critical role of data quality, governance, and ecosystem collaboration.
UWB vs RFID: Rethinking Real-Time Traceability Beyond Readers
Discover why passive RFID reaches its limits in dynamic environments and how Ultra-Wideband (UWB) delivers continuous, real-time location intelligence for next-generation traceability and scalable RTLS deployments.
The Future of Supply Chain Innovation: How AI and Automation Are Changing Everything
Predictive analytics, real-time visibility, and resilient digital supply networks.
Building Reliable Digital Twins Through Unit-Level Traceability
How unit-level traceability and real-time data integration power accurate digital twins, enabling predictive maintenance, quality control, and data-driven manufacturing performance.
Unit-Level Track and Trace: Solving Supply Chain Blind Spots with Serialization
How serialization, RFID, and digital track-and-trace systems enable real-time product visibility, strengthen supply chain transparency, and help detect counterfeit medicines across global pharmaceutical logistics.
Digital Twins in Supply Chains: Building the Foundation for Intelligent Systems
How digital twin technology uses IoT data, AI, and advanced simulation to create virtual supply chain replicas that improve visibility, forecasting, and operational resilience.
Digital Provenance: Why Content Authentication Matters in 2026
How C2PA standards help verify AI-generated content, combat deepfakes, and rebuild trust across digital ecosystems.
Real Business Value: Proven Blockchain Applications in Data Marketplaces
Real-world authentication for data marketplaces: smart contracts, IoT, and immutable ledgers powering supply chain transparency, luxury provenance, pharma cold chains, energy microgrids, automotive payments, and ESG compliance.
Smart Farming Sensors: The Key to Italian Tomato Profitability
How IoT-driven precision agriculture is transforming tomato farming in Italy, saving water, cutting costs, and boosting profits.
Italian AI System Spots Fake Mozzarella, Fights Food Counterfeiting
How Nina AI helps protect Buffalo Mozzarella DOP from global food fraud through advanced packaging verification and roundtheclock digital monitoring.
Traceability in Reverse Logistics & Returns Management
How IoT, AI, and blockchain are redefining returns management for a more transparent, efficient, and sustainable supply chain.
What You’ll Find Here
Here we collect articles that explain how advanced technologies are being applied across different industries to solve traceability challenges. From real-time tracking with IoT sensors to secure data exchange via blockchain and AI-driven analytics, these innovations are helping organizations build more resilient and transparent supply chains.
In this section, you will find:
- Use cases of AI, blockchain, and IoT in traceability programs.
- Explainers on how these technologies support regulatory compliance.
- Trend analyses on adoption rates, standards, and interoperability.
- Future outlooks on the role of next-gen digital infrastructure in global supply chains.
Browse the latest articles in this category to see how technology is driving innovation in traceability. This section updates automatically as new content is published.
