Supply chain management is increasingly being judged by the quality of the customer experience it delivers, not just by how efficiently it moves goods. That is pushing firms to rethink the divide between back-office operations and front-line service, with agentic AI emerging as a tool for linking the two.
The idea is simple enough: if a system can interpret changing conditions, decide on a course of action and carry it out across different platforms, then a delay, shortage or b...
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C.H. Robinson has gone further by unveiling what it calls an “Agentic Supply Chain”, describing it as an intelligent ecosystem that continuously thinks, learns, adapts and acts. The logistics company says the system is designed to understand context, make real-time decisions and self-optimise global supply chains at scale, reflecting a broader push to turn AI from a support tool into an active participant in operations.
Deloitte has argued that the shift marks a move away from simple task automation towards outcome delegation. In its analysis, agentic AI can autonomously perceive data, make decisions and act with limited human intervention, helping with scenario planning, dynamic inventory management and the handling of supply constraints. The consultancy says this should free planners to focus on higher-value work, while also strengthening AI governance.
The customer-facing implications are significant. If a shipment is delayed or stock runs short, a more advanced system can update internal planning tools, alert service teams and notify customers with alternative options at the same time. That, in turn, reduces the risk of one department promising something another cannot deliver.
McKinsey has made a similar point in its discussion of IKEA’s use of agentic AI, noting that companies are trying to cut costs without drifting away from customer needs. It says AI is being used not only to improve productivity in the back office but also to release staff from repetitive work so they can spend more time on customer-facing tasks.
The financial side of supply chains is also coming into sharper focus. Payments, invoicing, credit checks, insurance and financing all affect how smoothly goods move, and the article from IT Supply Chain argues that intelligent systems can help coordinate those touchpoints with logistics and service data. That means customer enquiries can be answered with a fuller picture of payment status, shipment progress and account history.
Recent industry evidence suggests the interest is moving beyond theory. IBM says nearly 70% of COOs and chief supply chain officers have already adopted AI agents and are preparing to scale them more widely, while 83% expect those tools to improve process efficiency. Microsoft, meanwhile, has said agentic AI is reshaping workflows by improving disruption response, risk management and forecasting.
Case-study material from Accellor points in the same direction. It describes a global retailer that used agentic AI to modernise planning and replenishment after struggling with inventory imbalances and poor real-time visibility. By combining enterprise data, forecasting, adaptive replenishment and conversational intelligence, the retailer was able to create a more unified planning process.
Taken together, the trend points to a broader redefinition of the supply chain. It is no longer being treated solely as a system for moving products cheaply and quickly. It is becoming part of the customer experience itself, with AI helping businesses respond faster, communicate more clearly and make better decisions across departments.
That is why the rise of agentic AI matters beyond operational efficiency. For companies trying to stay resilient in a volatile trading environment, it offers a way to connect planning, service and finance into a single, more responsive network.
Source: Noah Wire Services



