利用AI扩展供应链韧性：代理型AI实现自主运营

Agentic AI for autonomous operations How IBM can help IBM has been providing expertise to help organizations winin the marketplace for more than a century. Clients can realizethe potential of AI, analytics, and data using IBM’s deep industry,functional, and technical expertise; enterprise-grade technologysolutions; and science-based research innovations. For moreinformation about AI services from IBM Consulting, visitibm.com/services/artificial-intelligence How Accelalpha can help Accelalpha implements, integrates, and manages Oracle CloudApplications. We help solve business problems with supply chainand logistics processes, procurement, customers’ buyingexperience, and enterprise-wide financial planning and reporting.We provide change management to streamline business processessuch as order to cash, procure to pay, and financial consolidationand close. For more information, visit accelalpha.com. Key takeaways Agentic AI is supercharging supply chain automation,accelerating process efficiency faster than humanlypossible, and taking growth to the next level. Executives see agentic AIas a business accelerator. AI-enabled supply chainsdrive value. Process efficiency getsan AI boost. AI automation is happeningfaster than you think. 70% of executives state that by 2026,their employees will be able to drilldeeper into analytics to supportreal-time analysis and optimizationas AI agents automate operationalprocesses, especially in procurementand dynamic sourcing. 62% of supply chain leadersrecognize that AI agents embeddedinto operational workflows acceleratespeed to action, hastening decision-making, recommendations, andcommunications. Organizations with higher AI investmentin supply chain operations reportrevenue growth 61% greater thantheir peers. 76% of CSCOs say their overall processefficiency will be improved by AI agentsthat perform repetitive, impact-basedtasks at a faster pace than people can. AI-powered predictabilityand agility—force multipliersfor supply chain resilience What are supply chain leaders worried about in 2025? Our new survey showsthat geopolitical risks (61%) and global trade tensions (58%) are their top twochallenges. Maybe it’s no surprise that they are concerned about continuingshocks to their supply chains. Events in the first few months of 2025 suggest theseconcerns about disruption to the global economy and trade are well-founded. But what if these shocks could be prepared for—with a level of accuracyand resilience—that not only deflects disruption but actually createsa competitive edge? Turning uncertainty into a business advantage With AI solutions running on cloud and embedded into enterprise resourceplanning (ERP) platforms, supply chain executives are better equipped than ever toreplace ambiguity with clarity. And next-wave agentic AI capabilities are enabling amuch more proactive operational posture that combines greater cost efficiencieswith more agility to drive better results. Organizations that seize the agentic AIopportunity now can move beyond disruption management and recast supplychain operations as an engine for growth, differentiation, and innovation. Embedding AI intosupply chain operationsdrives business value To learn how AI is impacting supply chain operations, the IBM Institute forBusiness Value (IBV), in partnership with Oxford Economics, surveyed morethan 300 global Chief Supply Chain Officers (CSCOs) and Chief OperationsOfficers (COOs) from organizations implementing AI-enabled automation. This research brief shows how organizations are moving througha continuum of progressively greater capabilities, built on AI.It starts with AI process automation and machine learning; advancing togenerative AI in supply chain workflows, delivered by assistants; andevolving into agentic AI-enabled supply chains that operate autonomouslyand adapt dynamically in real time to real-world events. Perspective As supply chain operations optimize workflows, automateprocesses, and support greater collaboration between AI toolsand supply chain professionals, the flywheel of innovation beginsto spin faster—infusing new ideas, streamlining businessoperations and reinventing processes to enhance customer,partner, and employee experiences while harnessing new revenueand supply chain performance opportunities. In fact, organizationswith higher investment in AI for supply chain operations achievea 61% revenue growth premium over their peers. From AI assistants toagentic AI: The evolutionof AI-powered autonomy AI journeys begin with rules-based systems, enabling robotic process automation(RPA) to handle repetitive tasks and AI assistants to respond to queries. Assistants aremaking their mark on business productivity—especially in customer service, coding,and content creation—but their query-based frameworks limit contributions toworkflow automation and autonomy. Agentic AI breaks through these limitations by working proactively and autonomouslyto execute complex, mul