Supply Chain Operating Model Roadmap for CSCOs

How to redesign the supply chain operating model so planning, AI, and execution work together

Modernizing supply chain planning and execution takes more than new technology. The challenge is connecting plans, data, AI, workflows, and decision rights when network conditions change. Download the report for a practical framework to build a decision-ready supply chain.

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Supply chain planning, sourcing, manufacturing, logistics, and customer service are often managed through separate processes, systems, and decision forums. Disruptions, however, move across those boundaries in hours. A delayed supplier commitment can become a production constraint, an inventory allocation decision, a logistics escalation, and a customer-service issue before the organization has agreed who owns the trade-off. The problem may not be a missing data feed or planning tool. It may be the delay and inconsistency resulted as the issue moved from one function to another.

The mismatch sits at the heart of the supply chain execution gap. An organization may have advanced planning tools, extensive data, and experienced teams, yet still produce uneven outcomes when signals, constraints, workflows, and decision rights don’t move together. Planners override recommendations; execution teams rely on workarounds, and premium freight or excess inventory absorbs the cost of delayed decisions.

AI puts even more pressure on handoffs because it can generate forecasts, scenarios, and recommendations faster than many operating models can evaluate and execute on. Faster analysis creates little value when the network can’t act on it or when the output reaches the right owner after the decision window closes. The standard for progress is therefore shifting from “Do we have the technology?” to “Can the supply chain turn a signal into a feasible decision quickly and consistently?” "The CSCO’s roadmap to a decision-ready supply chain" better equips the operating model and offers a practical route from fragmented planning to coordinated execution.

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Traditional supply chain maturity assessments can show where planning tools, data, processes, and governance play a role. Yet they’re less effective at showing how those capabilities behave together when constraints shift. The harder questions arise where planning, procurement, manufacturing, logistics, finance, and customer service meet, because ownership is shared, and a slow handoff can quickly become a cost or service problem.

"The CSCO’s roadmap to a decision-ready supply chain" helps leaders examine five decisions that reveal where the operating model may still be creating friction:

Where are premium freight, excess inventory, schedule churn, or service misses recurring?
Which supplier, capacity, labor, or transportation assumptions are changing faster than supply chain plans can absorb?
Where has exception volume grown beyond the planning team’s ability to prioritize it manually?
Which demand, inventory, supplier, or logistics signals arrive too late to affect the outcome?
Who owns the trade-off when service, margin, inventory, and risk point in different directions?

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How KPMG helps CSCOs connect supply chain strategy, planning, and execution

Supply chain performance can remain uneven when planning, network design, AI, data, tax, trade, cyber, and managed operations improve on different timelines. Closing those gaps requires more than aligned plans; it requires connected decisions, workflows, constraints, and accountability across the supply chain operating model.

KPMG LLP (KPMG) brings those disciplines together around the points where the organization is losing cost, service, time, or confidence.

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A supply chain can have extensive data, planning tools, and dashboards and still be exposed to slow handoffs, unclear decision ownership, and uneven execution. These gaps often remain hidden until a supplier delay, capacity constraint, or logistics disruption forces several functions to respond as one. "The CSCO’s roadmap to a decision-ready supply chain" helps leaders identify where gaps sit and connect supply chain investment more directly to service, inventory, margin, and resilience.

Download the supply chain roadmap

Why a digital supply chain doesn’t always produce decision-ready execution

Digital supply chain maturity describes what the organization has connected, automated, or made visible. Decision readiness shows whether those capabilities can work together when conditions change, time is short, and trade-offs cross functions. Both views matter, but they answer different questions: one describes the technology and data environment; the other shows how reliably the organization can act with variables.

The supply chain execution gap often sits between these two views. Extensive digitization can coexist with manual reconciliation, unclear ownership, or plans built on assumptions that no longer hold. What appears to be a technology gap may instead be an operating-model gap.

Four moves to modernize the supply chain operating model

Improving supply chain planning and execution requires a deliberate sequence because the gaps that weaken performance rarely sit within one function. Plans need to reflect current constraints before signals can trigger reliable decisions; AI use cases need clear workflows and ownership before they can scale; and new capabilities need ongoing attention if performance is going to hold as the network changes. "The CSCO’s roadmap to a decision-ready supply chain" develops four connected moves for progress to happen.

Make supply chain plans executable with constraint-aware planning
Supply chain plans can appear balanced while relying on outdated lead times, assumed capacity, or transportation conditions that no longer exist. "The CSCO’s roadmap" examines how constraint-aware planning, AI-enabled monitoring, and tighter S&OP and S&OE integration can keep planning assumptions closer to current network conditions before a gap becomes an expedite, service miss, or inventory problem.

Turn supply chain signals into timely decisions
A supplier commitment, inventory threshold, or logistics update has limited value when it stops at a dashboard. The guide shows how decision-grade data, AI-enabled triage, escalation rules, and execution-ready scenarios can move the signal to the right owner with enough context to act.

Scale AI through governed operational use cases
AI pilots often succeed because the surrounding environment is controlled. Expansion introduces different data definitions, workflows, constraints, cyber controls, and decision rights. The guide explains how readiness gates and reusable operating playbooks can help organizations extend AI without assuming model accuracy alone makes the wider operating environment ready.

Sustain supply chain planning performance after go-live
Lead times drift, suppliers change, new SKUs and sites are added, and teams develop new workarounds. "The CSCO’s roadmap" examines how ongoing ownership of plan health, model drift, parameters, exception logic, planner roles, and shared KPIs can keep planning and execution aligned as the network changes.

Download the four-move supply chain roadmap >

Diagnose where supply chain plans break and value leaks. Identify the suppliers, lanes, nodes, product segments, and workflows driving premium freight, excess inventory, service instability, or planner rework.
Redesign the operating model around decisions. Define the rights, escalation paths, roles, workflows, and shared measures that connect integrated business planning, S&OP, S&OE, and daily execution.
Scale AI into supply chain workflows. Prioritize use cases with operational value, set readiness conditions, and connect recommendations to the people and workflows responsible for action.
De-risk the physical supply chain network. Evaluate network design, sourcing diversification, inventory positioning, supplier risk, logistics, tax, trade, compliance, working capital, and cybersecurity. Evaluate together, if possible.
Sustain performance through managed planning. Extend specialist capacity, monitor performance, and keep planning assumptions and workflows current through Planning as a Service and related managed capabilities.

The right starting point depends on where supply chain performance is breaking down. It may be a constrained component triggering expedites, a logistics corridor creating avoidable cost, a planning team overwhelmed by exceptions, or an AI use case that can’t move beyond one location. Addressing frictions help keep modernization focused on the business outcome that needs to improve.

Explore KPMG’s latest insights to see where supply chain planning and execution break down—and how decision-driven operating models can help leaders move faster without adding cost, inventory, or operational noise.

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Questions CSCOs ask about supply chain operating models

Q: What is a decision-ready supply chain?

A decision-ready supply chain connects current signals, real-world constraints, decision rights, and execution workflows, so teams can act before cost or service are lost. It gives people the context and ownership needed to make consequential trade-offs faster.

Q: What is a supply chain operating model?

A supply chain operating model defines how people, planning processes, data, technology, governance, and partners make and execute decisions. It includes integrated business planning, S&OP and S&OE cadences, decision ownership, escalation rules, performance measures, and the workflows connecting planning to physical operations.

Q: How can CSCOs modernize supply chain planning without disrupting operations?

A practical starting point is a domain where cost, service, or inventory performance is already breaking down. Leaders can make the plan feasible in that area, establish ownership and workflow rules, launch a focused use case, and measure the result before expanding.

Source: 2026 KPMG US Supply Chain Survey

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Supply chain leaders can’t afford to wait for market certainty—discover how agile network design protects margins and strengthens supply chain resilience.

Chris McCarney

Principal, Supply Chain & Procurement Leader, KPMG LLP

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Sean M Cassidy

Principal, Life Sciences, Procurement & Supply Chain, KPMG LLP

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Chris McCarney

Principal, Supply Chain & Procurement Leader, KPMG LLP

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Sean M Cassidy

Principal, Life Sciences, Procurement & Supply Chain, KPMG LLP

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Relevant Results

The CSCO’s roadmap to a decision-ready supply chain

Supply chain performance breaks down when planning and execution move at different timelines

Five questions that expose hidden supply chain friction

How KPMG helps CSCOs connect supply chain strategy, planning, and execution

See what supply chain visibility alone may be missing

Four moves to modernize the supply chain operating model

KPMG capabilities can help CSCOs:

Build a decision-driven supply chain that can keep pace with change

Questions CSCOs ask about supply chain operating models

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