Ask almost any senior logistics leader in a bulk commodity operation what their shipping programme runs on, and after a small pause, the answer comes back the same. A spreadsheet. Or rather, a set of linked spreadsheets, with shared naming conventions, colour codes, formulas that nobody remembers writing, and a careful user who treats it like a surgical instrument.
The spreadsheet is not a failure. It is an achievement. It represents years, sometimes decades, of patient institutional knowledge being committed to rows and columns by people who understood the business intimately and wrote the tool to match. At the time it was built, it was genuinely the right choice. There was no commercial product that understood bulk commodities with the fidelity that the operation demanded, and the spreadsheet earned its place as the operating system of the shipping programme.
But the spreadsheet was never free, and it is becoming more expensive. That is the argument of this post. Not that spreadsheets are bad, they are excellent at what they do. The true cost of spreadsheets in a billion-dollar bulk commodity programme is not zero, has never been zero, and has climbed past the point where any rational CFO, shown the numbers, would conclude otherwise.
The problem is that the numbers are rarely shown. The true cost of spreadsheets shows up across so many line items, in such diffuse form, that it never assembles itself into a single figure someone can point to. This post attempts that assembly. Seven categories of cost, honestly estimated, with a simple model, any mid-sized exporter can adapt to their own numbers.
Let us start with the one that is visible every day and invisible on any ledger.
A typical bulk commodity logistics team, running on spreadsheets, spends a surprising fraction of its time on work that is not operational; it is coordination about the operation. Chasing status updates from rail operators. Reconciling stockpile numbers from two different sources. Emailing port terminals to confirm berth windows. Updating the shipping programme after a weekend’s worth of changes. Cross-checking the commercial workbook against the operational plan. Producing the Monday morning programme view. Preparing the weekly management report. Manually copying demurrage events into the finance reconciliation sheet.
None of this work is value-adding in the way operations people use the phrase. It is the tax the organisation pays for not having the data assembled in one place.
To size this cost, pick a team. Say a mid-sized exporter has a logistics team of twelve people: managers, coordinators, planners, quality leads, and reporting analysts. Assume a conservative, fully loaded cost of $150,000 per person per year, which is likely low for experienced professionals in the industry. That is an annual payroll of $1.8 million.
Now, honestly, ask: what fraction of that team’s time is spent on coordination work that would not exist if the data were consolidated? In interviews with actual teams, the fraction is rarely less than twenty-five per cent and commonly over forty. Let us use thirty as a conservative midpoint.
Thirty per cent of $1.8 million is $540,000 per year. That is the coordination tax. It does not appear as a line item because it is bundled into payroll. But it is real, and it is being paid every year.
For operations on the larger end of the spectrum, say, twenty-five people in logistics, the same maths produces numbers north of a million dollars per year on this category alone.
And this estimate does not include the coordination hours spent by adjacent functions: commercial managers who field status calls that should have been answered by a dashboard, quality teams who assemble data for customers because the system cannot, and finance teams who spend days each month reconciling because no authoritative record exists. For a detailed view of why this coordination tax exists in the first place, see our piece on coordinating rail, port and vessels by email.
The most visible category, and also one of the most consistently underestimated.
Demurrage is the cost of vessels waiting beyond the agreed laytime. Dispatch is the saving from loading faster than the agreed laytime. The net position across a year is a significant number for any bulk commodity exporter, and for most, it is negative.
The question is what portion of this demurrage cost is structural (driven by genuine operational constraints: port capacity, rail scheduling, weather) versus avoidable (driven by visibility failures, poor coordination, delayed response to changing conditions). Honest analysis puts the avoidable portion at thirty to fifty per cent in operations running on spreadsheets.
Let us size it. An exporter shipping thirty million tonnes a year on Capesize vessels might have fifty to seventy vessels calling. Average demurrage per vessel in a badly managed programme can run to $150,000 or more; in a well-managed one, it can be a small fraction of that, or even net zero with dispatch earned.
Assume the programme averages $80,000 per vessel in net demurrage on sixty vessels. That is $4.8 million per year. If thirty percent is avoidable — that is $1.44 million in annual cost that is attributable specifically to the lack of visibility and coordination that the spreadsheet-based operation cannot provide.
For a deeper treatment of why demurrage is a symptom of a visibility problem rather than a pricing problem, see our piece on why demurrage isn’t the real problem.
Every exporter has experienced it. A cargo arrives at the destination, and the specification is disputed. Maybe the moisture is high. Maybe the iron content is a fraction off. Maybe the coal is above the ash threshold specified in the contract. The customer raises a claim, asks for a price adjustment, demands rework on the next shipment, or, in the worst case, reserves the right to reject.
Quality claims are expensive in three dimensions. The direct financial hit, the price adjustment or penalty. The relationship cost is the damage to customer trust that carries into the renewal conversation. And the operational cost: the rework, re-blending, re-surveying, accelerated replacement shipment, and the emergency coordination that comes with it.
In operations running on spreadsheets, quality data is fragmented across mine assays, stockpile profiles, blend plans, port samples, and loading samples: each in a different system, often owned by a different function. The gaps between them are where quality problems escape.
A mid-sized exporter with strong overall quality performance might still see quality claims ranging from $500,000 to $1.5 million per year, depending on the commodity, customer base, and stage of maturity. Of this, a meaningful portion, often thirty to fifty percent, is traceable to data visibility failures rather than genuine production issues.
Call the annual figure, conservatively, $750,000 in claims, with $300,000 attributable to the coordination and visibility gap. See our piece on mine-to-vessel continuous quality thread for how this gap is closed in Practise.
This category is harder to quantify because it never shows up as an event. It is the absence of things.
A commercial manager, contemplating a new customer opportunity, hesitates because they cannot confidently commit to a window. The deal goes elsewhere or is priced more defensively than it needed to be. A customer requests a specification adjustment mid-programme; the commercial team declines because they cannot see whether operations can accommodate it. The customer takes volume to a competitor who can. A marketing lead wants to approach a new segment: Japanese steel mills, European utilities, and Indian cement producers, but cannot confidently describe the operational reliability of the programme in terms that the customer will accept.
These missed opportunities do not appear on any P&L. They are opportunities foregone. But they compound, and over five years of compounding, they become the difference between growing into new markets and defending shrinking ones.
Sizing this category is inevitably speculative, but a rule of thumb used by commercial leaders in the industry is that operations running on legacy systems give up one to three percent of potential revenue annually to missed opportunities and defensive pricing. For an exporter with $1.5 billion in annual revenue, that is $15 million to $45 million per year.
Even the conservative end of this estimate dwarfs every other category on this list. And it is the one that most often gets left out of the business case entirely, because it is hard to prove. Hard to prove does not mean not real.
The scarcest resource in any bulk commodity operation is the attention of senior leadership. CFO time. COO time. Head of Commercial Time. Head of Operations time. These people are paid to make decisions that move the business forward, not to reconcile spreadsheets, chase weekend changes, or adjudicate between two numbers, none of which can be fully trusted.
When the operational data infrastructure is fragmented, senior attention gets pulled downward. The CFO spends a day of each month on reconciliation issues that should have resolved themselves. The COO spends hours each week on exception management that should have been handled at lower levels. The Head of Commercial spends management meetings defending numbers that should have been obvious.
The cost of this management attention is not the hourly rate; it is the opportunity cost of the decisions those leaders did not make because they were consumed with operational firefighting. The new market has not been assessed. The capital project has not been evaluated. The strategic relationship was not nurtured. The organisational development was not pursued.
Estimate this category honestly. For a mid-sized exporter, two to four executive-level FTEs’ worth of attention is absorbed by operational data issues. At a fully-loaded cost of $400,000 per executive, that is $800,000 to $1.6 million per year.
The more subtle cost is that the executives, being human, become inured to the distraction. They stop noticing how much of their week they spend on data reconciliation, and the organisation loses the ability to see the problem for what it is. See our piece on why key-person risk is a board-level problem for the related pattern.
The regulatory environment for bulk commodity exporters has become materially more demanding over the past five years, and the trajectory is only upward.
Customer audits, Japanese trading houses, European utilities, and Korean industrial buyers are routine and intense. Financial audits require clear evidence trails. ESG reporting demands auditable emissions data. CSRD and other jurisdictional frameworks impose specific documentation obligations. Scope 3 reporting ties operational records to emissions disclosures that auditors will test.
In a spreadsheet-based operation, every audit is a project. Teams spend weeks assembling evidence from scattered sources, producing reconciliations that would be automatic in a consolidated system, and managing auditor inquiries that a well-structured platform would answer with a query.
Quantifying this cost is straightforward. Count the person-weeks spent on audit preparation across the year: customer audits, financial audits, ESG reporting, compliance inquiries. For a mid-sized exporter, this commonly runs to three to six months of senior-level effort across multiple people per year. At a blended cost of $30,000 per person-month (reflecting senior participation), this amounts to $90,000 to $180,000 per year in direct costs.
The indirect cost is larger. When audits reveal data gaps or inconsistencies, the regulatory and commercial consequences can be significant. A customer who loses confidence in your audit trail during one cycle will scrutinise you more closely in the next. See our pieces on passing the Japanese steel mill audit and scope 3 emissions as a competitive edge for more on how this category is evolving.
Call the annual cost, conservatively, $200,000, rising each year as requirements tighten.
The master shipping workbook is almost always maintained by one or two people who understand it deeply. They have worked with it for years. They know where the formulas are, which sheets feed which summaries, and what assumptions underpin each calculation. They are, functionally, the programme’s operational nervous system.
When they take a holiday, the programme wobbles. When they resign, the wobble becomes a crisis. When they are hit by the proverbial bus, or more mundanely, when they are headhunted by a competitor, the crisis becomes structural.
Organisations respond to this risk in different ways. Some pay retention premiums to keep the spreadsheet owners. Some invest heavily in cross-training, with limited success because the spreadsheet is too intricate for casual users to understand. Some accept the risk and hope. None of these responses is free.
The financial cost of key-person risk is diffuse. Retention premiums. Training investments. Periodic disruptions. Occasional crisis periods after a departure. For a mid-sized exporter, a reasonable estimate is $150,000 to $400,000 per year in direct costs, plus the less quantifiable cost of the vulnerability itself.
The strategic cost is larger. Organisations whose critical infrastructure depends on individual knowledge cannot scale, acquire, or survive leadership transitions gracefully. They are structurally fragile, and the fragility is a discount applied to every future option the business contemplates.
Summing the categories above for a mid-sized bulk commodity exporter:
Coordination hours: $540,000 Avoidable demurrage: $1,440,000 Avoidable quality claims: $300,000 Missed commercial opportunities (low end): $15,000,000 Management attention: $1,000,000 Audit and compliance: $200,000 Key-person risk: $250,000
Total annual cost: approximately $18.7 million, with the overwhelming share in missed commercial opportunities that are speculative but plausibly real.
If one strips out the commercial opportunity line as too speculative, the remaining hard categories add to approximately $3.7 million per year. For an operation that thought it was running efficiently on a well-maintained spreadsheet.
These numbers are not universal; every operation has its own specific profile, but the shape of the finding is consistent. The true cost of spreadsheets in bulk commodity logistics is measured in millions per year for mid-sized operations, and in tens of millions for larger ones.
One of the most practical moves a logistics or commercial leader can make is to build a simple model that quantifies the true cost of spreadsheets in their own operation. Not a consultant-grade analysis, a simple workbook that lays out the seven categories and estimates each using the organisation’s actual numbers.
The model does not need to be precise. Precision is not the point. The direction of magnitude is the point. A conservative estimate that lands within a factor of two of the real number is enough to change the investment conversation.
The steps are straightforward.
Start with coordination hours. Count your logistics team. Estimate honestly what fraction of their time is spent on coordination and reconciliation work versus value-adding operational work. Multiply by the fully-loaded cost.
Move to demurrage. Pull your actual demurrage and dispatch numbers for the past three years. Categorise each event: was it structural, or was it avoidable with better visibility? The categorisation will be subjective, but the aggregate will be informative.
Quality claims. Same exercise. What did you pay in claims? What fraction could plausibly have been caught with better upstream data visibility?
Management attention. Ask your senior leaders honestly how much of their time is consumed by operational data issues. They know. The answer will surprise you.
Audit and compliance. Count the person-weeks. This is a direct calculation.
Key-person risk. Estimate the retention premiums, training costs, and crisis disruptions that are attributable to the fragility.
Commercial opportunities. Best left as a sensitivity analysis — “if we are foregoing X per cent of revenue due to operational constraints, that is Y dollars.” Do not anchor the business case on this line, but do not omit it.
Sum the categories. Compare the investment required to move to a consolidated platform. The ratio is almost always overwhelmingly favourable.
If the true cost of spreadsheets is this compelling, why do so many bulk commodity exporters continue to run on them?
The honest answers are instructive.
The costs are bundled and invisible. No line item says “spreadsheet tax.” The costs are hidden inside payroll, demurrage, claims, overheads, and management attention. Making them visible requires deliberate effort.
The spreadsheet works. It has been working for years. Deciding it is expensive feels like second-guessing the people who built it and the people who maintain it. This is emotional, not logical, but it matters.
The required investment is visible, but the return is not. A platform investment has a clear upfront cost. The savings it produces are diffuse and distributed across many categories. The cost-benefit asymmetry makes the business case harder to champion internally, even when it is mathematically overwhelming.
The implementation risk is visible, and the cost of inaction is not. Every senior logistics leader has been burned by a bad implementation. The risk is real, and the memory is vivid. The cost of maintaining the status quo does not carry the same vividness.
The organisational alignment is hard. The case for investment crosses operations, commercial, finance, and often IT. Each function has its own priorities. Aligning them requires senior sponsorship and a structured business case that addresses each function’s specific concerns.
None of these reasons is wrong. They are all understandable. But they do not, individually or together, reduce the cost of the status quo. They just make the cost less visible.
Once the model exists, the next steps are concrete.
Share it with the CFO. Not as an argument for a specific vendor or platform, but as an honest assessment of what the current state is costing. Let the CFO engage with the numbers. Many will be surprised. Some will challenge specific assumptions, which is healthy. The conversation should produce alignment on the order of magnitude of the cost.
Share it with the Head of Commercial. The opportunity cost category is the one that most resonates at the commercial level, and the Head of Commercial is often the most effective advocate for investment because they see the customer consequences directly.
Share it with the Head of Operations. They live the coordination tax, the key-person risk, and the quality claims. They will recognise the numbers.
Share it with the CEO. The key-person risk and audit exposure categories tend to fall at the CEO level because they directly affect strategic resilience and governance.
The goal of sharing is not to trigger an immediate investment decision. It is to establish a shared understanding of the true cost of spreadsheets in the current state, against which any proposed investment can be honestly compared.
From that shared understanding, the investment conversation becomes materially easier. The question shifts from “can we justify this investment?” to “given what we are already paying, what is the most efficient way to reduce it?”
A well-chosen, well-implemented bulk commodity logistics platform typically pays for itself within 12 to 24 months on the hard categories alone, with the softer commercial categories compounding returns substantially over a 3- to 5-year horizon.
This is not a vendor claim. It is the observed pattern across industry implementations over the past decade. The operations have made the transition report show consistent improvements across the categories described in this post, and these improvements are reflected in operational, financial, and customer metrics.
The operations that have not made the transition continue to pay the coordination tax, the demurrage premium, the quality claims, and the opportunity cost. The true cost of spreadsheets does not go away because it is unlabelled. It just continues to be paid.
The spreadsheet is not the problem. The spreadsheet is a tool that earned its place and served the operation faithfully for years. Many of the people reading this post built or maintain one, and the craftsmanship deserves respect.
The problem is that the operation has outgrown the tool. What was sufficient for a smaller-scale, simpler network and lower external demands is not sufficient for a billion-dollar programme operating across complex stakeholder networks under modern regulatory and customer scrutiny. The tool is not wrong; the fit has changed.
Recognising this does not require criticising the past. It requires an honest accounting of the true cost of spreadsheets today. The numbers in this post are a starting point for that accounting. Your specific numbers will be different. The shape of the finding, however, tends to be the same.
Nick Ogle has over 30 years of experience in Enterprise IT, spanning engineering, sales, and marketing roles across Australia, the USA, and APJ for various IT vendors.
Nick is passionate about entrepreneurship and Software innovation that drives positive change. Currently, he is the Sales & Marketing Manager at SCIAR Systems, a Newcastle-based SAAS startup, where he is helping commercialise their groundbreaking Bulk Commodity Logistics solutions.
For more information on Nick and to find articles that have been written on the IT sector in the past, feel free to look at his LinkedIn profile or browse some of the additional articles Nick has written for SCIAR.