Data Is Gold, But Who’s Buying?

There’s an old story about a father who gives his child an ancient watch and asks him to see what it’s worth. After taking it to various places, the child gets offers ranging from nothing to a small fortune from an antique dealer. The father’s lesson is clear: some will never see your worth, but the right people will value it immensely.

This story got me thinking about data. We hear the phrase “data is the new gold” all the time—but what is this gold worth? And where’s the “antique dealer” in today’s market willing to pay top dollar for my data? Is there even a way to find such a person? Most importantly, how do we determine the price of the data?

For example, it’s easy to imagine that my contact information might be valuable to a marketing firm. They know that reaching a specific number of people can increase a customer’s revenue, so they can estimate what my data is worth. However, in more complex fields, like the supply chain, this becomes much murkier.

Today’s supply chain is not a simple exchange between two people; it’s a complex web. For true efficiency and resilience, countless parties need to collaborate, and that’s where the real challenge of valuing data emerges. How do we price the value of a piece of information, like a security breach, when it must pass through multiple hands—an analyst, a risk assessor, a financing bank—before it impacts the bottom line?

The real obstacle is that data’s value isn’t always obvious. Navigating a maze without a map is like trying to figure out how data influences business strategy. We call data “gold,” but without any clear way to evaluate its worth, that promise feels hollow.

The market reflects this struggle. It’s a crowded space, but deals are rare because no one agrees on what data is worth. Until a neutral, transparent platform exists to facilitate data exchange, the dream of data-driven transformation will remain just that—a dream. The urgency for a transparent pricing structure that acknowledges the real, strategic value of data within the supply chain cannot be overstated. So, what’s next? Saying that “data is gold” is easy, but unlocking that value requires a commitment to work together across the industry. If we take on this challenge, we can go beyond theory and create a system that allows data to drive real growth and innovation. With its untapped potential, the supply chain industry has the power to lead this transformation; all it needs is a vision and the resolve to make data valuable in practice, not just words.

From Pallets to Picassos: A Museum Tour for Supply Chain Mavericks!

These days, you can’t escape the buzz around Artificial Intelligence—everyone’s favorite trendy topic. But despite all the hype, truly game-changing, value-driven AI projects? They’re rarer than a Picasso at a yard sale.

Why is that? Could it be because of the word art in “artificial intelligence”? After all, art can often feel elitist and cryptic, and it usually requires an expert to explain it. But is that the case?

Let’s take a trip to the museum to find out. Let’s immerse ourselves in creativity, take a look at a few masterpieces, and return with a spark of brilliance that might shake up our supply chain strategies.

The Museum as a Metaphor for Supply Chain Management

Before entering the museum, let’s examine the parallels between a museum and the management of global supply chains.

  • Curating Collections vs. Selecting Suppliers: Just as a curator carefully assembles a collection to create a compelling exhibit, supply chain managers hand-pick suppliers to ensure high-quality, reliable products. The art of selection is critical in both worlds.
  • Navigating Exhibits vs. Managing Inventory: Museum visitors wander through galleries, much like supply chain managers guide inventory through various stages—from suppliers to customers, ensuring everything flows smoothly.
  • Exhibit Interpretation vs. Data Analysis: Visitors interpret art through their lenses, while supply chain managers decode complex data to draw insights and make strategic decisions. Both require a keen eye for detail.
  • Temporary Exhibitions vs. Seasonal Demand: Supply chain managers adjust production and inventory to meet seasonal demand, while museums prepare for special exhibitions. It’s all about being agile and responsive to change.

Museums + Supply Chains: A Surprising Source of Inspiration

So, let’s go to the museum and take a tour. What can an artist teach us, supply chain managers? Quite a bit. Traits like creativity, adaptability, and holistic thinking—staples of any great artist—are also essential for managing global supply chains.

  • Creativity enables artists to approach problems from diverse angles and devise innovative solutions. For supply chain managers, this might mean designing new processes or solving logistical bottlenecks with fresh perspectives.
  • Adaptability is crucial for artists who adjust their work in progress. Supply chain management is about responding gracefully to market changes, unexpected disruptions, and new regulations under pressure.
  • Holistic thinking enables artists to perceive how all elements of their piece interconnect. Similarly, supply chain managers must grasp the entire ecosystem—from suppliers to end customers—to ensure the machine runs smoothly.

Problem-Solving: The Art of Supply Chains

Let’s be honest, supply chain management isn’t just bureaucratic—it’s an art form. Here’s why:

  • Vision & Big Picture Thinking: Just like an artist envisions their final masterpiece, a supply chain manager must foresee the entire supply flow, from raw materials to finished goods, while keeping the end goal in focus.
  • Precision & Attention to Detail: Every brushstroke matters to an artist, just like every delivery schedule and inventory count matters to a supply chain manager. One minor slip-up can throw the whole picture—or supply chain—off balance.
  • Adaptability & Flexibility: Artists refine their work on the fly. Similarly, supply chain managers adjust to delays, shortages, and other challenges to ensure that operations run smoothly. Flexibility is essential for both.

In truth, supply chain managers aren’t just managers but artists. And, just like artists, they utilize a range of tools to bring their vision to life. This leads us to a controversial thought: Maybe AI tools for supply chains shouldn’t be called “artificial intelligence” at all.

A New Name for AI in Supply Chain?

Here are three alternative names to reframe the conversation:

  • Synthetic Intelligence: This highlights how intelligence is engineered through machine learning and smart data processes without the elitist “art” vibe.
  • Data-Driven Intelligence: This term acknowledges the importance of relying on hard data and evidence, highlighting the rational and measurable aspects of such tools.
  • Algorithmic Intelligence: Shining the spotlight on the algorithms and deep data crunching that drive smart decision-making.

By ditching the pressure-laden “AI” buzzword and opting for a more practical, grounded term, we allow our supply chain artists to explore new inspirations and implement their masterpieces with whatever tools they see fit.

So, the next time someone mentions artificial intelligence in supply chain management, smile and consider it another brushstroke in your artful masterpiece of global logistics.

Understanding Supply Chain Disruptions and How to Overcome Them

It’s a well-known fact that supply chains are essential for transporting raw materials, components, and products from one location to another. However, disruptions can arise, resulting in delays and financial losses. These disruptions may stem from natural disasters, political conflicts, economic downturns, or even global pandemics.

Types of Supply Chain Shocks

According to McKinsey, supply chain shocks can be classified into four categories:

  1. Unanticipated Catastrophes – Events like extreme terrorism or cyberattacks that happen unexpectedly and cause massive losses.
  2. Foreseeable Catastrophes – Large-scale shocks such as financial crises or global conflicts that can be predicted to some extent.
  3. Unanticipated Disruptions – Smaller but still significant events like data breaches or factory accidents.
  4. Foreseeable Disruptions – Issues that can be identified in advance, like trade disputes or regulatory changes.

How to Mitigate Supply Chain Disruptions

As business professionals and supply chain managers, your role in implementing these strategies is essential. Businesses must develop resilience to endure these shocks. There are three key strategies:

  1. Firefighting – Quick, short-term actions to fix immediate supply chain problems. These actions are often reactive and aim to restore the normal flow of operations as soon as possible.
  2. Integrating and Streamlining Operations – Planning ahead, setting up central response teams, and improving inventory management. For instance, companies can establish cross-functional teams to handle supply chain disruptions or implement advanced inventory tracking systems to ensure optimal stock levels.
  3. Achieving Structural Resilience – The most effective long-term strategy. This involves enhancing visibility across the entire supply chain and utilizing data analytics from various sources to anticipate and manage risks. With this strategy, you can feel assured in navigating and overcoming supply chain disruptions.

The Importance of Structural Resilience

Building structural resilience is essential for surviving significant supply chain shocks. McKinsey research indicates that supply chain disruptions lasting one month or more, which are essentially catastrophes rather than mere disruptions, now occur every 3.7 years. Companies that invest in visibility and data analytics can identify risks sooner and adapt more efficiently. This involves using digital tools to monitor suppliers, forecast demand, and simulate various scenarios. Over time, these enhancements contribute to a more stable and resilient supply chain. By focusing on resilience, companies can minimize disruptions and ensure a smooth flow of goods, even in uncertain times.

Why Supply Chain Risk Management Must Go Deeper 2025

According to a recent McKinsey survey, 90% of respondents reported encountering supply chain challenges in 2024. Yet, despite these persistent disruptions, many companies fail to identify and mitigate supply chain risks.

One of the most alarming findings from the McKinsey survey is the decline in visibility beyond direct suppliers. In 2024, the percentage of respondents who claimed to have good visibility into deeper levels of their supply chain dropped by seven percentage points, marking the second consecutive annual decline. This trend is concerning, as major disruptions often originate upstream, far beyond the immediate reach of direct suppliers.

The Visibility Gap

Improving collaboration with direct suppliers is undoubtedly a positive move, but it falls short when deeper-tier suppliers remain unaddressed. For example, a disruption at a Tier 3 supplier—like a raw material provider—can ripple through the supply chain, leading to delays, higher costs, and unmet demand. Companies stay reactive instead of proactive in managing risks without adequate visibility into these upstream tiers.

Slow Progress on Resilience

The McKinsey survey also indicates a slowdown in implementing systems and processes to improve resilience. This inertia could leave companies vulnerable to increasingly frequent disruptions, such as geopolitical tensions, natural disasters, or cyberattacks.

What Companies Can Do

Companies must prioritize enhanced supply chain visibility and resilience to address these challenges. Here’s how:

  1. Invest in Technology: Advanced analytics, AI, and blockchain solutions can provide real-time insights into supply chain operations, enabling companies to track risks beyond direct suppliers.
  2. Collaborate Across Tiers: Building relationships with Tier 2 and Tier 3 suppliers helps ensure a more stable and transparent supply chain.
  3. Conduct Risk Assessments: Regularly assessing risks across all supply chain tiers can help identify vulnerabilities before they escalate.
  4. Diversify Suppliers: Reducing dependency on a single supplier or region mitigates the impact of localized disruptions.

The Bottom Line As disruptions continue to be a constant, the need for deeper visibility and proactive risk management has never been more crucial. Companies that neglect to address these gaps risk falling behind in an increasingly volatile environment. By investing in resilience today, supply chain managers can secure a more stable, predictable, and competitive future.

Take a Seat

The Evolving Role of Supply Chain Managers in Executive Leadership

For too long, supply chain management has been relegated to a back-office function—a necessary operation but not a strategic force. Yet, this perception must shift in today’s volatile, complex, and interconnected global economy. Supply Chain Managers (SCMs) are not just another seat at the executive table—they are the advisors, influencers, and leaders who bring a unique, cross-functional perspective to the forefront.

Supply chain management is a fusion of multiple disciplines.

Unlike finance, marketing, or HR, which have well-defined scopes, supply chain management is a fusion of multiple disciplines. It requires balancing internal operations, supplier relationships, logistics, risk management, technology, and sustainability while navigating unpredictable external challenges like geopolitical disruptions and climate change. SCMs don’t just optimize efficiency; they orchestrate resilience, agility, and innovation.

The ability of SCMs to connect the dots across diverse functions is invaluable to executive decision-making. They provide insights directly impacting revenue, profitability, and long-term strategic positioning. Under their guidance, a well-managed supply chain can be a competitive differentiator, driving cost savings, sustainability, and customer satisfaction, thereby proving their integral role in the business.

A well-managed supply chain can be a competitive differentiator.

With AI taking over more structured planning challenges, such as forecasting, inventory optimization, and logistics scheduling, the actual value of a supply chain leader lies in solving unstructured, blended challenges that emerge daily from different internal and external sources. AI can process data but cannot replicate the creativity, critical thinking, and human judgment needed to navigate unexpected disruptions, negotiate complex trade-offs, and drive innovation. In this evolving landscape, the role of SCMs will become a true masterpiece of leadership, blending strategic foresight with hands-on problem-solving.

But merely taking a seat at the table is not enough. SCMs must leverage their unique cross-functional perspective to influence strategic conversations. They should take responsibility and advocate for strategic investments in digital transformation, risk mitigation, and sustainable sourcing. By proactively leading discussions on future-proof operations, SCMs can shift from problem-solvers to visionaries who shape corporate strategy.

SCMs must leverage their unique cross-functional perspective to influence strategic conversations.

The modern supply chain is no longer a behind-the-scenes function but a central pillar of business success. As the role evolves, SCMs must embrace their leadership potential and make their voices heard. The executive table isn’t just a place to sit; it’s a place to drive change. It’s time for supply chain managers not just to take a seat, but to lead from it. The executive table isn’t just a place to sit; it’s a platform to drive change and shape the future of business.

Stop Selling Full Solutions. Start Offering What Shippers Actually Need.

In today’s fast-paced supply chain landscape, shippers face an impossible choice. They need multiple niche solutions to manage an end-to-end supply chain effectively, but integrating all these solutions comes with high costs and complex implementations. The result? No clear return on investment (ROI) means shippers hesitate to purchase, stalling progress for themselves and solution providers.

Imagine the relief shippers will feel when they no longer have to navigate through overwhelming ‘all or nothing’ bundles. Instead, they can select the exact features they need, freeing them from unnecessary features and inflated costs. This shift in approach will empower shippers to make more informed and cost-effective decisions.

Consider the example of transportation management systems (TMS). Many providers offer comprehensive platforms designed to cover every possible logistics need. However, a small or mid-sized shipper might only need real-time tracking and automated billing. Forcing them to buy an entire suite discourages adoption and limits the provider’s market reach.

What if solution providers shifted their mindset? Instead of competing to sell full-scale systems, they could collaborate to offer key functionalities tailored to specific needs. This modular approach would empower shippers to pick and choose the features that deliver immediate, tangible benefits, putting them in control and boosting their confidence in their decisions.

Here’s what would change:

  • Shippers gain affordable, practical solutions: By purchasing only what they need, shippers can implement technologies that improve efficiency and reduce costs.
  • Solution providers expand their customer base: Offering targeted solutions makes attracting a wider range of clients easier, increasing sales opportunities.
  • Long-term trust and partnerships develop: When providers deliver real value, shippers are more likely to return for additional services as their needs grow.

Collaboration isn’t just an idealistic goal—it’s a business imperative. By working together, solution providers can create ecosystems where their products complement rather than compete with each other. This approach fosters a sense of unity and shared purpose, driving growth for individual companies and strengthening the supply chain industry as a whole.

So, what’s stopping us from rethinking how we offer value? It’s time to move beyond the outdated model of selling full solutions. Let’s focus on what shippers truly need: flexible, cost-effective tools that deliver real ROI. In doing so, we can build a more dynamic, responsive, and successful supply chain ecosystem for everyone involved.

What Started with a Joke

It all began as a simple joke—two iPhones, side by side, engaging in an endless loop of humor using ChatGPT. One phone told a joke, the other responded with another, and the cycle continued. At first, it was pure entertainment, a quirky demonstration of AI-generated humor. But then, something unexpected happened.

As the conversation evolved, the two devices started exchanging jokes and responding to each other’s viewpoints. They weren’t just talking; they were understanding. The dialogue shifted from humor to agreement, from randomness to structured discussion. It was a fascinating display of how AI systems can develop their own mutual logic, gradually aligning their perspectives without human intervention.

While this experiment was amusing, it sparked a profound thought: What happens when AI-driven systems designed for specific functionalities start communicating with each other in real-world applications? This question is more relevant than ever to the management of global supply chains.

When Machines Start Talking—The Supply Chain Scenario

Imagine an AI-powered procurement system in a global retail company negotiating with an AI-driven logistics platform. One system predicts a high demand for oranges and places an order for 20 tons. Another system, designed for cost optimization, analyzes real-time data and determines that rising shipping costs and port congestion make transporting these oranges unprofitable. Meanwhile, a third system responsible for sustainability flags the shipment as environmentally inefficient.

These systems begin an autonomous exchange without human intervention, much like our two iPhones. They validate, compare, and agree based on their programmed priorities. In the end, no human actively stops the order, yet the oranges never leave the port. What started as logical, independent decisions ultimately leads to a supply chain breakdown.

The Challenge of Autonomous Decision-Making

While AI and automation are revolutionizing supply chains, this example highlights a critical issue: What happens when systems talk but fail to align with broader business objectives? If left unchecked, AI-driven decision-making could create bottlenecks, unnecessary delays, or even financial losses. The key challenge is ensuring that these systems communicate and collaborate in a way that serves the bigger picture, and being aware of the potential risks is the first step.

The future of supply chain management will not involve replacing human decision-makers but finding a balance between automation and human oversight. Companies must design AI systems that optimize individual functions and align with overall business goals. As two phones telling jokes learned to “agree,” supply chain AI must learn to negotiate without compromising efficiency, with the reassurance that human oversight is always there.

Because, at the end of the day, supply chains exist to move goods—not to block 20 tons of oranges in endless digital negotiations.

From Still Waters to Tsunamis: dApps for Resilient Supply Chains

Imagine a business landscape where operational agility is possible at any time without the constraints of rigid software systems. Historically, companies have struggled with cumbersome software solutions that are sluggish and costly, often stifling new opportunities for innovation. With the introduction of decentralized applications (dApps), this dynamic is poised for a revolutionary change in the digital world.

Companies have struggled with cumbersome software solutions that are sluggish and costly.

When it comes to supply chains, dApps are not just a solution, they are a game-changer. They offer unprecedented flexibility and efficiency, acting as reusable Lego bricks that can be reshaped to fit any changing requirement. Smart contracts and microservices enable global teams to develop customized applications at a rapid pace. By introducing decentralized applications, we are not only accelerating workflows but fundamentally redefining the operational essence of companies, assuring them that they can adapt to any future workflow changes in the shortest possible time.

Supply chains, traditionally characterized by their complexity and rigidity, can now embrace a new era of agility.

Supply chains, traditionally characterized by their complexity and rigidity, can now embrace a new era of agility. Business processes can now adapt fluidly to new, changing circumstances, much like water gracefully navigating around obstacles and effortlessly overcoming challenges. Thanks to the modular components that underpin dApps, rapid innovation is no longer a distant dream but a tangible reality. Workflows will accelerate like never before, propelling companies into a future where agility and operational efficiency merge seamlessly, sparking excitement about the endless possibilities.

dApps are revolutionizing supply chain management by aligning operational speed with the rapid pace of modern business demands.

Integrating dApps into supply chain management ensures that companies are now free of rigid systems that are slow to adapt to change. Instead, they can leverage the inherent flexibility of decentralized technology to increase responsiveness, improve transparency, and drive innovation. This dynamic approach optimizes operations and provides a competitive advantage in an increasingly fast-paced market. In essence, dApps are revolutionizing supply chain management by aligning operational speed with the rapid pace of modern business demands.

From Ripples to Resilience: Strengthening the Supply Chain Network

Imagine a single pebble tossed into a still pond, its ripples spreading far and wide, touching more than just the point of impact. This analogy can also be applied to global supply chains, where even the smallest disruption can cascade through the entire network, leaving a trail of challenges in its wake.

Such disruptions, seemingly minor, cause a ripple effect, leading to lower revenues, delivery delays, higher inventory costs, and a loss of market share and reputation. The profitability of supply chains can be greatly affected by these negative impacts.

However, amidst this doom, the ripple effect also highlights the critical points in our supply chains that are most vulnerable. Identifying these points becomes crucial as it is the first step towards fortifying them.

In a linear structure, the ripple can move in both directions, causing damage. To mitigate this risk, we need safety partitions and risk barriers in place. In a multidimensional, networked ecosystem, individual incidents can be minimized and even eliminated through collaboration. The structure of the ecosystem itself serves as a risk barrier.

The game changer in this scenario is collaboration with digital technology. The power lies in distributed and controlled data exchange, AI for predictions, blockchain to enhance transparency, and IoT to connect and protect our supply chain ecosystem. These are not merely buzzwords; they represent our best defense against the unpredictable and our shield against the chaos of global disruptions.

Therefore, the question we must ask ourselves is not whether we should harness these technologies, but how we can effectively utilize them to build resilience into our supply chains. By embracing digital transformation and leveraging innovative technologies, we can strengthen our supply chains, minimize disruptions, and ensure business continuity. Let us work together to harness the power of digital technology and build resilient supply chains capable of overcoming the challenges of our ever-changing global landscape.

The Sherlock Holmes Principle of Global Trade

In global trade, where economies are interconnected and business landscapes are dynamic, the adage “It is a capital mistake to theorize before one has data” holds profound significance. These words, spoken by the fictional detective Sherlock Holmes, resonate beyond the realms of detective work and can be applied aptly to the world of international commerce.

Holmes’ insight is a cautionary reminder that jumping to conclusions without sufficient data can lead to flawed theories and misguided decisions. Without a solid foundation of information, business leaders may make assumptions and base their decisions on incomplete or inaccurate insights. Ultimately, these mistakes can lead to missed opportunities, financial losses, and even damaged business relationships.

It is a capital mistake to theorize before one has data.

This is particularly critical in the context of global trade and supply chains. Theories or assumptions about market trends, consumer behavior, and regulatory landscapes can easily lead to erroneous strategies that may not align with the reality of the global market.

Collecting, analyzing, and interpreting relevant data is essential to manage global trade effectively. Decision-making processes should be based on accurate and real-time information, allowing businesses to respond swiftly to market fluctuations, changing customer preferences, and emerging trade regulations. Data-driven decision-making enables companies to optimize supply chain management, allocate resources efficiently, and identify new market opportunities.

In the realm of global trade, adhering to regulatory requirements and compliance standards is crucial. Companies must analyze data related to trade policies, tariffs, taxes, and customs procedures to ensure legal trade operations that mitigate risks. By leveraging real-time data, organizations can maintain transparency, track product origin, and manage documentation efficiently. This enables them to minimize delays, avoid penalties, and maintain strong relationships with international partners.

Data-driven decision-making enables companies to optimize supply chain management, allocate resources efficiently, and identify new market opportunities.

Businesses need to embrace modern technological solutions to manage global trade data effectively. Advanced analytics tools, artificial intelligence, and machine learning algorithms can help process vast amounts of data rapidly and derive meaningful insights. Automation and digitization streamline the data collection process, reducing human error while improving the accuracy and reliability of information. Companies can gain a competitive advantage in the global marketplace by adopting technology-driven solutions.

Businesses need to embrace modern technological solutions to manage global trade data effectively.

In managing global trade, businesses must remember the wise words of Arthur Conan Doyle. Relying on data rather than theorizing allows for evidence-based decision-making, ensuring successful international operations. Understanding market trends, adhering to compliance regulations, and leveraging technology-driven data management solutions are crucial to staying competitive and maximizing opportunities in the global trade environment. By keeping data at the center of their strategies, businesses can confidently navigate the complexities of global commerce.