From Maturity to Mastery in Supply Chain
There is a question I hear again and again in boardrooms: “Are we ready to proceed considering our supply chain maturity level?” It is usually asked just before a major decision: a new planning system, a network redesign, an omnichannel initiative. The implication is that some invisible gauge on the wall, labeled “maturity,” should tell us whether we are allowed to move forward.
People expect me to translate that gauge into a neat verdict: we are at level 2, therefore not ready; or level 3, therefore safe to proceed. I rarely oblige. Not because I am trying to be evasive, but because I believe the question itself is misguided.
The language of maturity suggests a tidy ladder: crawl, walk, run. Do your homework, follow the roadmap, and your organization will climb the stages in an orderly fashion. It is an appealing narrative. It is also deeply misleading when applied to supply chains, which live in a messy world of uncertainty, perverse incentives, and constantly shifting constraints.
In my book Introduction to Supply Chain, I proposed a different lens. Instead of worrying about an abstract maturity level, I suggest we should focus on mastery: the concrete ability to use the options available in the physical world to generate economic results under uncertainty. This may sound theoretical, but it leads to a very practical shift in how we evaluate ourselves.
In this essay, I want to clarify what I mean by mastery, why I think it is a better compass than maturity, and how this perspective collides with the mainstream view of what it means to have an “advanced” supply chain.
What we actually do in supply chain
Strip away the jargon and technology, and supply chain is remarkably simple to state.
We are responsible for the flow of goods from suppliers to customers. Along this flow, at every step, we have choices. We can buy more or less, sooner or later, from this supplier or that one. We can move inventory here or there. We can promise faster delivery or lower cost. We can run a promotion, or we can stay quiet. Each choice uses part of our limited resources and makes other choices impossible.
This collection of possible choices is what I like to call our “option set.” We never control the future, but we do control which options we keep open and which we close. The essence of supply chain is to choose among these options, under imperfect information, to create economic value while remaining resilient when reality is not cooperative.
If we start from this picture, maturity is no longer a philosophical question. It becomes: how good are we at selecting and executing those choices?
What mainstream maturity models really measure
Most maturity models in our industry do not start from decisions. They start from processes and organizational structures.
The usual story goes like this. At the lowest level, planning is ad hoc and siloed. As you climb the ladder, processes become standardized and documented; systems are integrated; cross-functional collaboration is formalized; Sales & Operations Planning appears; eventually you reach some “orchestrated” or “autonomous” stage. A questionnaire or audit places you on this scale. A roadmap then tells you which boxes to check to move up.
What these models primarily measure is how far your organization has progressed in terms of formalization and integration. Do you have a planning department? A global S&OP process? A common data model across regions? A single planning platform instead of a patchwork of spreadsheets?
None of this is bad. Many of these steps are necessary. But they are not the essence of supply chain. They are scaffolding.
You can be at the top of such a maturity model and still make consistently poor decisions: overreacting to noise, chasing the wrong KPIs, ignoring the economic impact of your policies. You can also be at the bottom of the model, at least on paper, and still make remarkably sharp decisions if a small team understands the business, has good data, and knows how to turn that data into sensible daily actions.
This is why I am skeptical whenever someone proudly declares, “We are level 4.”
Why linear ladders fail in a nonlinear world
Reality does not respect our tidy stages.
Businesses do not evolve in a straight line. Sometimes a company spends ten years doing more or less the same thing, then makes a radical change that completely reconfigures its supply chain. A new sales channel appears. A subscription model is introduced. A key supplier is replaced. A product line is shut down. These moves are not “level 2 to level 3.” They are discontinuities.
Moreover, supply chains are not passive systems that we gradually tame. They are populated by people inside and outside the company who react to what we do.
Introduce a new KPI, and behavior changes. Tie bonuses to forecast accuracy, and watch people aggregate everything to a level where accuracy looks nice, even if it makes the inventory position worse. Roll out a rigid replenishment rule, and suppliers adapt their own behavior to exploit it. Publish a service-level target, and teams will optimize that number, sometimes at the expense of profit.
This is what makes supply chain so awkward: the system pushes back. Every time you intervene, you change the system you are trying to control.
Static maturity stages assume a world where you can lock in a process and then simply institutionalize it. In practice, by the time you have fully institutionalized it, your context has already changed, and the very success of the process has altered the behavior of the people and partners involved.
From rituals to decisions
If maturity ladders are not a reliable compass, what do we use instead?
I propose a simple shift: start from decisions, not rituals.
Every day, your organization makes an enormous number of decisions that affect the flow of goods: how much to order for each item and location, how to allocate limited stock across channels, how to set safety buffers, which orders to expedite, which to delay.
These decisions can be made in many ways: by buyers using their intuition, by planners manipulating spreadsheets, by rules embedded in an ERP, or by algorithms deliberately designed to trade off cost, risk, and service.
The question is not whether you have a process called S&OP or a planning cycle that runs monthly. The question is: how good are these decisions?
“Good,” in this context, does not mean “following the process” or “matching the budget.” It means that if we could replay history many times, with different realizations of demand and supply, our chosen decisions would perform well on average and protect us reasonably against bad luck. And it means that we evaluate them in the right unit: money, not arbitrary percentages.
Seen this way, a genuinely advanced supply chain is one where:
- The most important decisions are guided by explicit models of cost and risk, not by vague rules of thumb.
- Those models are encoded in software so that everyday decisions can run unattended most of the time.
- The people who own these models understand both the business and the mathematics well enough to improve them continuously.
This is what I call mastery.
What mastery looks like in practice
Let me describe what I tend to see in organizations that, in my opinion, have reached a meaningful level of supply chain mastery. It has little to do with how many process diagrams they can draw.
There is usually a small group of people who bridge business and technology. They understand how the company makes money, where it loses money, and which operational levers actually matter. They also know how to work with data and software, not as end users, but as designers of the logic that drives day-to-day decisions.
The numerical methods they use are not toys for slideware. They produce concrete outputs that are consumed by the rest of the organization: purchase orders, allocation proposals, price recommendations, capacity plans. These outputs can be executed with minimal manual tinkering because they are designed with real-world constraints in mind.
When something changes—a new policy, a new supplier, a new cost structure—the logic is updated centrally, and the new behavior propagates quickly through all the decisions. The time between “we have learned something important” and “our decisions reflect that insight” is short.
Measures of performance are expressed in economic terms: contribution margins, carrying costs, stockout penalties, long-term customer value. Service levels, forecast accuracy, and other percentages may still be monitored, but they are treated as intermediate signals, not as ends in themselves.
None of this looks particularly glamorous on a slide. It is mostly careful modeling work, lots of debugging, and constant dialogue between people who understand the numbers and people who understand the business. But it is the sort of work that makes a supply chain resilient and profitable.
Why many “mature” organizations are still fragile
Now compare this picture with what I often see in companies that score highly on traditional maturity assessments.
They have large planning departments, complex approval workflows, and monthly meetings where impressive dashboards are reviewed. They have invested in several layers of tools and consultants. They have documented processes for nearly everything.
Yet, when you look closely at how decisions are actually made, you often discover that:
- The supposedly integrated systems are bypassed via spreadsheets because the official logic is too rigid or opaque.
- The economic rationale behind key parameters—safety stocks, lead times, minimum order quantities—is poorly understood. Values were chosen years ago and have drifted out of sync with reality.
- Performance is driven by KPI targets that are convenient to measure but poorly aligned with profit. Teams are rewarded for good-looking metrics, not for actual economic outcomes.
- Changing a policy can take months, because it requires negotiating across departments and poking at brittle systems that no one fully owns.
On a maturity questionnaire, such an organization looks advanced. In the real world, it is often surprisingly fragile.
This is why I think the mainstream narrative of supply chain maturity can be dangerous. It encourages complacency. Once you have reached level 3 or 4, the implicit message is that the hard part is done. In practice, the hard part—the continuous redesign of decision-making logic in a moving environment—never ends.
A different set of questions
If we abandon the comfort of maturity stages, what do we put in their place?
Instead of asking, “What level of maturity are we?” I suggest questions like these:
How many of our recurring decisions are still made manually, and how many are driven by explicit logic that we can inspect and improve? When we change our understanding of costs or risks, how long does it take before this change is reflected in all daily decisions? Can we explain, in plain language and in dollars, why our system recommends ordering this quantity for this item, rather than twice as much or half as much? When a KPI looks good, do we know whether it is because the underlying economics are sound, or because we have learned how to game the metric?
These are uncomfortable questions. They are also far more revealing than a stage label.
Maturity as a side effect, not a goal
I am not arguing that process maturity is meaningless. If you genuinely pursue mastery—if you care deeply about decision quality, about economic impact, about the integrity of your models—your organization will, almost inevitably, develop more robust processes, better governance, and more disciplined use of technology.
In other words, what most people call maturity will emerge as a side effect.
The reverse is not true. You can invest heavily in processes, governance, and tools, and still never reach mastery, because you never addressed the core question: how do we use our options in the physical world to create and protect economic value under uncertainty?
If there is one message I would like to leave you with, it is this: do not let a maturity label comfort you. Look instead at the decisions your supply chain makes every day, at the logic behind them, and at the economic consequences they create. That is where mastery lives—and that is where the real work begins.
