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True resilience demands smarter data, continuous monitoring, empowered partners, and AI-driven insight to build agile, transparent, and accountable supply chains.
New AI innovations make supply chains more adaptive, connected, and responsive.
Closing the accountability gap requires a system that can keep pace with the technology it’s meant to oversee.
The production of drones and autonomous robots is on the brink of an unprecedented surge, with projected increases reaching up to tenfold for commercial drones and an astonishing o...
Key Takeaways: AI predictive maintenance offers real operational value—but real risk. While these systems can reduce downtime and extend equipment life, a single missed prediction...
AI can help companies catch supply chain problems earlier, but it also introduces new risks that need to be managed.
The US federal government’s decision to designate Anthropic as a national‑security “supply chain risk” has triggered complex, high‑stakes legal battles with implications beyond a s...
As AI becomes embedded across supply chain operations, companies need to plan for heightened expectations around transparency and governance.
Learn how scalable robotics and adaptive fulfillment strategies can help operations respond faster to unpredictable demand, maximize storage and throughput, improve workforce engag...
For supply chain leaders today, disruptions like port congestion, geopolitical... The post Self-Driving Supply Chains: AI Agents enabling Autonomous Planning, Decisioning, and Exec...
Unpredictable geopolitical change undermines global supply chains and perpetuates disruption. From trade disputes to regional conflicts, the vulnerabilities of traditional logistic...
As the artificial intelligence race moves beyond language models into the physical world, Asia’s manufacturing and supply chain strengths could give it an edge over the US, says Gr...
AI systems cannot fully compensate for disconnected operational processes, fragmented data models, and poorly coordinated enterprise architectures. Artificial intelligence is becom...
As supply chains become more dynamic, the way work gets done and operations are run is changing, and agentic AI is at the forefront. The post From intelligence to impact: How agent...
AI systems are great tools for repetitive tasks, but eliminating every source of human oversight can have consequences.
Resilience, profitability and measurable environmental, social and governance performance are increasingly converging into a single operational mandate.
Meta’s rising AI infrastructure spending shows that artificial intelligence is no longer only a software strategy. It is becoming a supply chain, energy, component, and capacity pl...
As AI moves beyond software, a new platform connects data, models, and machines to enable real world deployment of intelligent robotic systems. AGIBOT has introduced a new generati...
Supply chain AI will not succeed because it can generate answers. It will succeed when it can operate with clean data, business context, governance, action pathways, and closed-loo...
Supply chain AI will not succeed because it can generate answers. It will succeed when it can operate with clean data, business context, governance, action pathways, and closed-loo...
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Shana Wray, principal solutions architect and supply chain analyst with FourKites, explains the right way to go about automating workflows with agentic AI.
The next phase of supply chain AI will not be defined by better models alone. It will be defined by whether those models can improve real decisions across planning, logistics, sour...
Today, dashboards flag costly return rates, suspicious refund activity, or locations with abnormal behaviors. The insights are helpful, but typically arrive after the fact.
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