The hidden inefficiencies that quietly drain your margins, frustrate your customers, and compound until they become a crisis.
I once walked into a manufacturing facility in Karachi, a well-run business by most accounts, profitable, growing, with management that genuinely cared about doing things right. Within two hours of looking at their operations, I had identified over Rs 40 million in annualised waste. Not fraud. Not incompetence. Just the ordinary accumulation of processes that had never been questioned, systems that did not talk to each other, and decisions being made on instinct rather than data.
The managing director looked at the numbers and said something I have heard many times since, "We knew something was off. We just didn't know it was this much."
That, in a sentence, is the supply chain problem most businesses are sitting with right now.
Most business leaders can tell you their freight costs. They know their warehouse rent. They have a rough sense of what procurement is spending each month. These are the visible costs, the ones that appear on a P&L and get discussed in budget meetings.
What rarely gets measured, and what I have seen consistently across industries as different as oil and gas, consumer goods, power generation and cement, is the cost of poor process. This is the money spent reworking, reordering, over-stocking, under-stocking, expediting and firefighting. It is the cost of decisions made without the right information, of teams working in silos who do not realise they are undermining each other, of technology that was supposed to solve problems but has instead created new ones.
In my experience, most organisations are carrying between 15% and 25% in avoidable supply chain costs. The trouble is, these costs don't sit in one line item. They are distributed across the business in ways that make them easy to miss and very hard to attribute.
They show up as overtime that has quietly become permanent, as inventory write-offs that are accepted as a normal cost of doing business, as customer complaints that are resolved individually rather than traced to their root cause, as a procurement team buying the same component from three different suppliers at three different prices because nobody ever built a vendor consolidation strategy.
Nobody planned for any of this. It simply grew, one workaround at a time, until it became the way things are done.
After two decades working across different regions, with organisations ranging from multinationals like Reckitt Benckiser and Philips to major local conglomerates in energy and manufacturing, the same patterns appear with remarkable consistency.
Most companies I work with have a demand planning process. Very few of them have a demand planning system. There is a meaningful difference. A process is a meeting where sales, operations and finance discuss what they think will happen next month. A system uses historical data, market signals, seasonality patterns and external variables to generate a statistically grounded forecast, and then uses human judgment to refine it, not replace it entirely.
The consequences of poor forecasting are felt everywhere downstream: too much inventory of the wrong things, not enough of the right things, production schedules that do not align with actual demand, and a warehouse that is simultaneously full and out of stock. I have seen this at companies with hundreds of millions in revenue who simply never had the right tools or discipline in place.
Buying things cheaply and buying things well are not the same thing. I have worked with organisations that were rightly proud of their ability to negotiate low unit prices, while simultaneously paying enormous premiums in expediting costs, quality failures and supplier unreliability, because they had selected vendors purely on price without evaluating total cost of ownership.
Strategic procurement means understanding the full picture: building real supplier relationships, diversifying risk intelligently, and having visibility into what your suppliers' suppliers are doing. In a world where a disruption in one country can shut down your production in another, treating procurement as an administrative function rather than a strategic one is an increasingly expensive mistake.
Excess inventory is almost always a symptom of something else, poor forecasting, unreliable suppliers, a lack of trust between sales and operations, or all three at once. But it is typically treated as a solution: we do not know what demand will be, so we hold more stock to be safe.
The problem is that inventory carries a real cost. It ties up working capital. It occupies space. It deteriorates, becomes obsolete, or expires. And critically, it masks the underlying problems rather than solving them, so those problems persist and compound.
A useful rule of thumb: For every Rs 100 of excess inventory, you are typically incurring Rs 20–30 per year in carrying costs alone, before accounting for write-offs, handling, insurance and the opportunity cost of the capital locked up in it.
I have had conversations with senior operations executives who can tell me exactly how much stock they have on hand today, but have no reliable idea when their next inbound shipment will actually arrive, what the status of their key supplier's production schedule is, or whether a critical vendor is facing financial stress. Supply chain visibility that stops at your own four walls is not really visibility, it is an illusion of control.
End-to-end transparency, from your suppliers' suppliers through to your customers' receiving docks, is no longer just a capability large multinationals have. The tools to achieve it have become far more accessible and affordable than most businesses realise. The question is whether leadership has the will to invest in it before a crisis forces the issue.
This is perhaps the most universal pattern I encounter. A company builds processes that work well for its size and complexity at a particular point in time. It then grows significantly, in revenue, in product lines, in geography and in headcount, and continues running on those same original processes, patching and workarounding as problems emerge rather than stepping back to redesign the operating model.
The result is an operational architecture full of redundancies, manual interventions, tribal knowledge and single points of failure. Every time I ask why something is done a certain way, I hear some version of the same answer: "That's just how we've always done it." That sentence has cost Pakistani businesses more money than I care to calculate.
Artificial intelligence is being sold to businesses right now as the answer to everything. I want to address this directly, because the hype is getting ahead of the reality in ways that are causing companies to make expensive mistakes.
AI will not fix a broken process. It will execute a broken process faster, at greater scale, and with less visibility into what is going wrong. What AI genuinely excels at, and where the returns are real and measurable, is augmenting human decision-making with analysis that no team could produce manually, at the speed that modern business requires.
AI-driven demand forecasting that incorporates real-time market signals, weather data, social sentiment and competitive activity can meaningfully outperform traditional methods. Intelligent systems that monitor supplier risk and flag problems before they become crises are genuinely valuable. Automation that handles routine, rules-based tasks so that your people can focus on judgment and relationships, and that is where the ROI is clear.
But every AI implementation I have seen succeed was built on a foundation of clean data, well-designed processes and clarity about the specific problem being solved. Every one I have seen fail was an attempt to automate chaos. The sequencing matters enormously: fix the process first, then automate it.
The starting point is always the same: an honest, structured assessment of where you actually are. Not a consulting report designed to justify a large project, but a genuine diagnostic: what are your real costs, where are they coming from, and what are the highest-impact things you could change in the next 90 days?
In most organisations, the initial diagnostic phase pays for itself several times over before any significant investment in technology or large-scale transformation is required. The quick wins, vendor consolidation, safety stock rationalisation, a basic S&OP rhythm and a coherent set of operational KPIs, frequently deliver more value than the major technology programmes that attract all the attention and budget.
The more important investment, though, is in building the organisational capability to keep improving. A supply chain that was genuinely best-in-class three years ago may be mediocre today. The environment, geopolitical, technological and competitive, is moving too quickly for a one-time fix to hold its value.
What separates the organisations that consistently outperform is not a single transformation project. It is a culture of continuous, rigorous, data-driven improvement, with leadership that is willing to ask uncomfortable questions, challenge long-held assumptions, and act honestly on what they find.
Twenty years in this field has taught me that the companies who get this right are not always the largest or the best-resourced. They are the ones with leaders who refuse to accept that how things are is how they have to be. That mindset, more than any technology or methodology, is what makes the difference.
A 30-minute conversation costs nothing. If there's nothing worth addressing, you've lost half an hour. If we find what most organisations find, that conversation pays for itself many times over.
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