In partnership with Oracle and Accelalpha, IBM has explored how cloud-based agentic AI operating models enable automation, boost efficiency and accelerate innovation, contributing to increased for supply chain resilience.
Agentic AI is supercharging supply chain automation, accelerating process efficiency faster than humanly possible, and taking growth to the next level.
It is creating:
- AI-enabled supply chains drive value: Organisations with higher AI investment in supply chain operations report revenue growth 61% greater than their peers.
- Executives see agentic AI as a business accelerator: 62% of supply chain leaders recognise that AI agents embedded into operational workflows accelerate speed to action, hastening decision-making, recommendations, and communications.
- AI automation is happening faster than you think: 70% of executives state that by 2026, their employees will be able to drill deeper into analytics to support real-time analysis and optimisation as AI agents automate operational processes, especially in procurement and dynamic sourcing.
- Process efficiency gets an AI boost. And 76% of CSCOs say their overall process efficiency will be improved by AI agents that perform repetitive, impact-based tasks at a faster pace than people can.
A survey from Oracle and Accelalpha shows that geopolitical risks (61%) and global trade tensions (58%) are their top two challenges face by supply chain leaders today. Maybe it’s no surprise that they are concerned about continuing shocks to their supply chains. Events of recent years suggest these concerns about disruption to the global economy and trade are well-founded.
But what if these shocks could be prepared for – with a level of accuracy and resilience – that not only deflects disruption but actually creates a competitive edge?
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