All Dataleo news, jobs, analyses and tutorials around Automation in Supply Chain and Operations.
HighMcKesson used its 2026 ideaShare event to discuss how AI, automation and frontline operating teams support continuity across a high-consequence pharmaceutical supply chain.
The planning relevance lies in how scarce-product allocation, exception handling and service priorities are converted into governed decisions.
In high-consequence environments, automation should not hide prioritization logic. Leaders need explicit allocation rules, source traceability, human override and accountability for service decisions.
MediumA Manhattan Associates study found that 61% of organizations expected fully autonomous agentic AI in transportation management within five years, while only 37% had deeply integrated AI and machine learning into their TMS.
The readiness gap highlights the need for data quality, process ownership and controlled automation before autonomous transportation decisions scale.
Highproject44 launched Decision Intelligence, evolving Movement from visibility toward contextual AI, unified intelligence and more automated supply-chain operations.
Decision intelligence needs explicit ownership of recommendations, execution rights and cross-system auditability.
HighInfor launched Velocity Suite, combining process mining, automation and generative AI to help industry customers identify bottlenecks, redesign workflows and accelerate operational improvements.
MediumA FourKites survey found that supply-chain leaders increasingly viewed AI as a lever for greater automation and optimization across planning and logistics operations.
Emerging logistics technologies require governance before scale
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