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Why Adaptability (Not AI) Will Decide the Next Supply Chain Leaders By Fabrizio Brasca, Senior Vice President, Market Strategy, Kinaxis

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Why Adaptability (not Ai) Will Decide The Next Supply Chain Leaders By Fabrizio Brasca, Senior Vice President, Market Strategy, Kinaxis

Disruption isn’t new. What has changed is that it is no longer temporary; it is structural, woven into the daily fabric of how companies operate. A single policy change can shift sourcing overnight, while a viral trend can empty store shelves faster than a forecast can catch up. With technology advancing rapidly, the conversation about Artificial Intelligence intensifies daily.

AI has become the defining accelerator of adaptability, not its driver. In a world of constant geopolitical and economic turbulence, companies can’t afford to chase hype or experiment in isolation. The real differentiator will be how effectively they orchestrate intelligence across the enterprise, turning data into continuous, connected decisions that convert volatility into advantage.

Resilience helps organizations survive disruption, while adaptability helps them thrive because of it. AI is real, and it is powerful, but its true value lies in enabling that adaptability, not replacing it.

AI Is Accelerating but Architecture Is Lagging

Recent Kinaxis research with The Economist Group revealed a sharp contrast – 71 percent of executives said their companies have accelerated AI development, yet only 22 percent of them believe their current architecture can support it. This disconnect defines the challenge ahead.

Leaders are racing to deploy AI, but their data, governance, and processes were never designed for continuous adaptation. The result is expected: fragmented tools, conflicting recommendations, and planners spending more time reconciling dashboards than making decisions.

From Control to Orchestration

For decades, supply chains were built for control, with stability, efficiency, and cost in mind. In a world of constant volatility, however, control has become an illusion. The next stage of progress lies in orchestration, breaking down functional silos and connecting every partner around shared, live decisions that evolve in real time.

Orchestration is the bridge between control and adaptability. It creates alignment and visibility that allow a supply chain to sense change, simulate outcomes, and act continuously rather than periodically. Those capabilities define the adaptive supply chain, a connected system designed to evolve at the pace of volatility.

Five capabilities make it real:

Planning at the Core – Planning is no longer a scheduled activity, but the enterprise nervous system that connects strategy and execution.
One Model, One Truth – Ensuring every function works from the same live data and assumptions, so alignment becomes structural rather than aspirational.
Continuous Adaptation – Disruptions do not wait for monthly reviews – adaptive supply chains adjust as change happens.
Agentic Acceleration – Adding intelligent agents to handle routine sensing, simulation, and exception management so humans can focus on judgment, governance, and value.
Value-Centric Leadership – Keeping adaptability grounded in purpose and ensuring every decision balances growth, margin, sustainability, and resilience.

These capabilities are already delivering measurable results, from life sciences manufacturers using agents to prevent expiry-related losses to high-tech leaders reallocating production within hours of a demand spike.

Governance Builds the Trust That Makes AI Work

AI’s promise comes with risk. Poorly governed systems can make fast, but flawed decisions, such as over-ordering, breaking compliance, or eroding margin. Governance must be built in, not bolted on. Every recommendation should be explainable – what triggered it, what trade-offs were considered, and why it is the right move. Every decision should be auditable, and every agent must operate within clear guardrails for ethics, compliance, and financial integrity.

AI does not replace human accountability; it extends it. Governance builds trust that turns speed into confidence and ensures adaptability does not come at the expense of integrity.

The next horizon extends beyond supply chain. When adaptability reaches finance, workforce, and logistics, the business begins to move as one. That is the vision of the orchestrated enterprise, where decisions in one domain immediately reflect in another, eliminating lag and unlocking competitiveness.

The AI conversation will keep evolving. Some technologies will fade, while others will endure. What matters most for leaders is clarity, knowing which innovations build lasting adaptability and which add noise.

The companies that win the next decade will not be those that automate the fastest, but those that adapt the fastest, turning disruption into advantage and uncertainty into leadership.

Fabrizio (Fab) Brasca is Senior Vice President of Market Strategy at Kinaxis, where he leads the company’s global market strategy across product marketing, supply chain execution, and ecosystem orchestration.

A seasoned supply chain executive, Fab brings more than two decades of experience spanning product marketing, product management, sales, and strategy. At Kinaxis, he is responsible for shaping and amplifying the company’s go-to-market vision – connecting product innovation, customer value, and ecosystem collaboration to drive the future of supply chain orchestration. His team leads initiatives across messaging, thought leadership, analyst relations, competitive intelligence, and go-to-market alignment in supply chain execution and partner strategy.

Before joining Kinaxis, Fab held executive leadership roles at Blue Yonder and FourKites, where he helped organizations build and scale supply chain solutions that enable real-time visibility, optimization, and adaptability. Earlier in his career, he spent more than a decade at i2 Technologies, where he helped shape the company’s global transportation and logistics strategy.

Fab is a recognized thought leader on supply chain transformation and the evolving intersection of AI, automation, and human decision-making. He holds an Honours Bachelor of Mathematics, with a specialization in business and information systems, from the University of Waterloo in Canada.

The post Why Adaptability (Not AI) Will Decide the Next Supply Chain Leaders By Fabrizio Brasca, Senior Vice President, Market Strategy, Kinaxis appeared first on Logistics Viewpoints.

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Supply Chain KPIs Are No Longer Keeping Up with the Job

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Supply chain leaders are being asked to deliver far more than cost savings. They are expected to improve resilience, accelerate decisions, manage supplier risk, strengthen continuity, and support broader business strategy. Yet in many organizations, the performance metrics used to evaluate supply chain teams still reflect an older operating model built primarily around savings and transactional efficiency.

That gap matters. If the work has expanded but the scorecard has not, teams may be incentivized to optimize for short-term cost reductions while underweighting resilience, responsiveness, and risk readiness. Supplier diversification, recovery planning, sourcing cycle time, decision latency, and exposure visibility are increasingly central to supply chain performance, but they are not always captured in traditional KPI frameworks.

The Institute for Supply Management recently published a useful article on this issue, arguing that supply chain value now needs to be measured across a broader set of dimensions, including resilience, speed, risk reduction, and organizational readiness. The piece makes the case that savings remain important, but they are no longer sufficient as the primary indicator of supply chain contribution.

For supply chain executives, the larger takeaway is clear: measurement systems need to catch up with the strategic role supply chain now plays. Organizations that modernize their KPI frameworks will be better positioned to demonstrate value not only through cost control, but through continuity, agility, and better enterprise decision-making.

Read the full article from the Institute for Supply Management here: Supply Chain work has evolved faster than the KPI’s used to measure it.

The post Supply Chain KPIs Are No Longer Keeping Up with the Job appeared first on Logistics Viewpoints.

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Why Regulated Supply Chains Are Prioritizing Traceability Over Pure Efficiency

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For decades, supply chain strategy was dominated by efficiency. Companies reduced inventory, consolidated suppliers, optimized transportation networks, minimized operational slack, and extended global sourcing structures in pursuit of lower costs and better asset utilization.

Those priorities still matter. But in regulated industries, they are no longer enough.

Healthcare, pharmaceuticals, aerospace, food, and medical-device supply chains now operate under a broader definition of performance. Product accountability, traceability, compliance continuity, and operational control are becoming as important as traditional efficiency metrics. In these sectors, the supply chain is not simply a cost structure. It is part of the organization’s control system.

That is why traceability is moving from an administrative requirement to a strategic operating capability. It allows companies to understand where materials originated, how products moved, which lots were affected, where inventory was distributed, and which customers or facilities received product. In stable conditions, that information may appear routine. Under disruption, it becomes essential.

Efficiency Alone Can Create Fragility

Highly optimized supply chains can perform very well when conditions are stable. The problem emerges when something goes wrong.

A supplier issue, quality deviation, transportation disruption, documentation failure, or traceability gap can quickly create consequences that extend far beyond delayed delivery. In regulated environments, these failures may trigger investigations, product holds, recalls, compliance exposure, customer disruption, and reputational damage.

That changes the operating calculus. A supply chain optimized purely for cost may not provide enough visibility or control when conditions deteriorate. The result is a shift toward a more balanced view of operational performance.

The objective is no longer simply maximum efficiency. It is controlled resilience.

Traceability Is More Than Compliance

Traceability is often treated narrowly as a compliance requirement. Its strategic value is broader.

Strong traceability improves root-cause analysis. It strengthens recall precision. It supports supplier accountability. It reduces ambiguity during disruptions. It helps organizations isolate operational risk more quickly and respond with greater confidence.

In practice, traceability becomes part of the enterprise’s ability to operate under uncertainty. A supply chain that clearly understands its dependencies can respond more intelligently than one relying on fragmented records, manual investigation, and disconnected documentation.

This is especially important in industries where the cost of ambiguity is high. In food, a traceability gap can widen the scope of a recall. In pharmaceuticals, incomplete lot visibility can delay containment. In aerospace or medical devices, documentation failures can affect audit readiness, quality assurance, and customer trust.

The strategic point is straightforward: traceability is not just about knowing what happened. It is about being able to act when it matters.

Complexity Is Raising the Bar

Several forces are increasing traceability requirements across regulated industries. Global sourcing networks are longer and more complex. Product portfolios are becoming more specialized. Regulatory scrutiny continues to increase. ESG expectations are adding new accountability pressures. Serialization, product authentication, and chain-of-custody requirements are expanding.

At the same time, supply chains are becoming more digital. Sensor data, IoT monitoring, electronic batch records, serialization systems, digital quality environments, supplier platforms, and logistics visibility tools now generate far more operational information than before.

The challenge is no longer simply collecting data. The challenge is coordinating and interpreting it across the enterprise.

That requires stronger data governance, better integration, and more contextual intelligence. Traceability systems create limited value if the data remains trapped in separate systems or disconnected from operational decision-making.

Traceability Depends on Coordination

A quality alert matters only if the organization can quickly identify affected inventory. A supplier issue matters only if downstream dependencies are visible. A transportation disruption matters only if customer, inventory, and compliance implications can be understood quickly.

This is where the broader shift toward continuous intelligence becomes important. As discussed in The Next Supply Chain Operating Model Will Be Built Around Continuous Intelligence, supply chains increasingly require systems capable of sensing, interpreting, and coordinating operational response continuously.

Traceability becomes significantly more valuable when it supports faster and more coordinated decisions. It is not enough to document product movement after the fact. Companies need traceability data to inform decisions in near real time.

This also explains why graph-oriented architectures and contextual AI systems are attracting attention. Regulated supply chain risk rarely exists in isolation. It moves through relationships among suppliers, products, lots, facilities, customers, logistics flows, and regulatory obligations.

Understanding those relationships operationally is becoming increasingly important.

The Efficiency Tradeoff Is Becoming More Nuanced

Prioritizing traceability does not mean abandoning efficiency. It means recognizing that efficiency must be balanced against resilience, accountability, and operational control.

The most efficient network on paper may not be the most resilient network under stress. A lower-cost supplier strategy may create greater exposure if visibility is weak. A highly optimized transportation network may become vulnerable if traceability and exception response are insufficient.

This does not eliminate the importance of lean operations. It changes the definition of operational maturity.

The organizations that perform best increasingly understand where visibility, traceability, and control create disproportionate strategic value. They are not simply asking how to reduce cost. They are asking where lack of control could create unacceptable operational, regulatory, or reputational exposure.

The Strategic Implication

Regulated supply chains are moving toward a broader definition of operational excellence.

Cost and efficiency still matter. But so do traceability, governed response, compliance continuity, visibility, accountability, and operational resilience.

The organizations that lead over the next decade may not simply be those with the lowest cost structures. They may be the ones capable of maintaining control, preserving trust, and coordinating response effectively under increasingly complex operating conditions.

In regulated industries, traceability is no longer merely administrative infrastructure. It is becoming part of the competitive operating model itself.

The post Why Regulated Supply Chains Are Prioritizing Traceability Over Pure Efficiency appeared first on Logistics Viewpoints.

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Medtronic: Strengthening Regulated Medical Device Supply Chains

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Medical device supply chains operate under a different standard than many commercial supply chains.

Efficiency still matters. So do inventory discipline, transportation performance, and cost control. But regulated healthcare environments must also preserve traceability, quality assurance, compliance continuity, documentation integrity, product accountability, and controlled response processes.

That changes the operating model.

Medtronic offers a useful example. As one of the world’s largest medical technology companies, it operates across a complex global network of manufacturing sites, suppliers, logistics providers, hospitals, clinicians, distributors, regulators, and field-service organizations.

The objective is not simply to move products efficiently. It is to maintain product availability, quality, traceability, and regulatory compliance at the same time.

Regulation Changes the Supply Chain Equation

In many industries, supply chain performance is measured primarily through cost, service, and working-capital efficiency.

In regulated healthcare, the equation is broader. A shipment delay matters, but so does a documentation error, labeling issue, quality deviation, traceability gap, supplier compliance problem, or uncontrolled product movement.

The consequences can extend well beyond logistics disruption. They may affect regulatory exposure, product release, recall management, or clinical continuity.

That changes how resilience is defined. In regulated supply chains, resilience is not simply the ability to move inventory around disruption. It is the ability to preserve continuity while maintaining quality, traceability, and compliance discipline throughout the process.

That is a more demanding operating requirement.

Visibility Must Extend Beyond Transportation

For medical device companies, visibility cannot stop at shipment tracking.

The enterprise also needs visibility into supplier quality, serialized inventory, manufacturing conditions, product genealogy, service inventory, documentation status, field inventory positioning, and regulatory workflows.

The supply chain is not merely transporting products. It is managing accountable product movement across a controlled operating environment.

This is why regulated industries are investing more heavily in integrated visibility and traceability systems. Companies need to know not only where products are, but whether they remain compliant, whether documentation is complete, whether quality conditions have been maintained, and whether downstream commitments remain protected.

That requires tighter coordination across supply chain, quality, manufacturing, logistics, and regulatory functions.

Exception Management Becomes More Sensitive

Exceptions carry greater operational consequence in regulated healthcare environments.

A delayed shipment may affect hospital inventory. A supplier issue may trigger quality review. A labeling problem may delay product release. A traceability gap may complicate recall management.

The organization therefore needs more than awareness. It needs governed response.

This connects directly to the broader rise of autonomous exception management in logistics operations. In regulated supply chains, earlier detection is valuable not only because it accelerates response, but because it gives the enterprise more time to coordinate a compliant response before risk escalates.

AI-assisted systems may help prioritize exceptions, assemble context, identify affected inventory, and route decisions more efficiently. But the operating environment still requires governance, escalation controls, auditability, and human oversight.

This is not uncontrolled automation. It is governed operational intelligence.

Coordination Across the Enterprise

Medical device supply chains are deeply interconnected.

Supply chain teams must coordinate continuously with manufacturing, procurement, quality, regulatory, logistics, commercial teams, field-service operations, and healthcare providers. A disruption in one part of the network can quickly propagate into others.

That is why fragmented systems create particular risk in regulated industries. Disconnected operational environments do not merely reduce efficiency. They can increase operational and compliance exposure at the same time.

For medical device companies, enterprise coordination is not a process improvement exercise. It is part of the control system that protects product integrity, customer commitments, and regulatory standing.

The Broader Lesson

Medtronic’s operating environment reflects a broader shift across regulated industries.

The future supply chain is not simply leaner or faster. It must also be more traceable, more coordinated, more governed, more resilient, and more transparent.

That requires stronger integration between supply chain execution, quality management, regulatory processes, and enterprise intelligence systems.

In regulated healthcare, the supply chain is becoming part of the trust architecture surrounding the product itself. Over the next decade, that may become one of the most important strategic operating requirements in the industry.

The post Medtronic: Strengthening Regulated Medical Device Supply Chains appeared first on Logistics Viewpoints.

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