Supply chain organizations spend enormous energy preparing for disruptions. Port strikes. Supplier failures. Natural disasters. I sat through hundreds of these planning meetings over my career running global supply chain operations. We built playbooks, stress-tested networks, knew what to do when something big went wrong.

What we talked about far less was what happened on an ordinary Wednesday.

Production came in 6% under plan. A retailer doubled their order for next week. A competitor’s product was out of stock in three regions, so our demand spiked. A promotion landed harder than marketing predicted.

None of this made the news or triggered an emergency call. But all of it triggered decisions — hundreds of them, made quickly, by people working from partial information.

I’ve come to believe that the cumulative cost of those decisions dwarfs what we spend responding to the disruptions we actually plan for.

How suboptimal decisions add up

Supply chain leaders understand volatility, especially after the last five years. What I don’t think gets measured, or even named, is the cost of daily deviation from plan.

Here’s what I mean. When customer orders shift, someone has to figure out how to respond. Which inventory to allocate. Which DC should fulfill. Whether to consolidate shipments or send something out now. What transportation to book.

These decisions happen through calls, meetings, emails, and spreadsheets. People are doing the best they can with what they can see, which is usually their piece of the network. A logistics manager in Ohio doesn’t know what the demand planner in Atlanta just learned. The warehouse supervisor is optimizing for today. The transportation team is trying to fill a truck.

Each individual decision is defensible. The warehouse supervisor isn’t wrong to ship what’s in front of them. The transportation buyer isn’t wrong to book a spot carrier when the contracted one can’t make the window.

But add it up. Spot freight that creeps to 15% of total spend when it should be 8% and loads go out at 70% capacity because timing mattered more than optimization. The wrong distribution center serves a customer because that’s where the product was, not because it was the cheapest lane.

No one tracks this as a single cost category. It shows up everywhere — transportation, warehousing, labor, inventory write-offs — which means it shows up nowhere.

Short-term cost pressure makes long-term fixes harder

The executives I speak with are caught in something. Their boards want to see cost reduction this quarter. Their CEOs want to know what’s happening with AI. The patience for multi-year transformation programs has evaporated. I’ve been in meetings where a vendor mentions that benefits will materialize in Year 2, and I could feel the energy leave the room.

This pressure is understandable. Too many digital transformation programs have failed to deliver. The skepticism is earned.

But the pressure also makes it harder to solve the underlying problem. When you’re scrambling to hit a quarterly number, you don’t have time to step back and ask why your organization needs 200 people to manage daily order variability. You just need those people to work harder this month. The reactive mode sustains itself.

I’ve started describing this as “Deliver the Quarter” versus “Deliver the Future.” Both matter. But right now, Deliver the Quarter is winning, and it’s not close.

When systems don’t connect, headcount fills the void

I’ve watched organizations respond to this problem by hiring. When the systems don’t connect, people become the connective tissue.

At large companies, you can find hundreds of employees whose primary job is managing variability. They’re in meetings all day, calling carriers and reconciling spreadsheets. They’re chasing down information about what’s actually in the DC versus what the system says. Repeatedly, they have to make judgment calls because no system can do so with the full picture in mind.

This isn’t a failure of those employees. Many of them are excellent at what they do. The firefighters are genuinely good at fighting fires. But firefighting as an operating model has a cost, and that cost is headcount.

Now, after years of operating this way, companies face pressure to restructure and improve their cost basis. But in many cases, they can’t because the people are load-bearing. Move or remove them and the daily chaos becomes unmanageable. The organization has made the decision, likely unconsciously, to invest in headcount that manually connects the disconnected pieces when they should’ve invested in connected systems.

What it would take to optimize across a two-week execution window

When I think about what would actually help, I keep coming back to a fairly specific problem. Most supply chain organizations can’t optimize decisions across a two-week execution window.

That sounds modest. It’s not. To do it, you need to see current inventory across locations, inbound production from factories, customer orders and near-term demand, cost-to-serve by customer and channel, and available transportation options with real-time rates. Then you need to make trade-offs: which customer gets served from which DC, what goes on which truck, whether to wait for consolidation or ship now at higher cost.

This involves a massive number of variables. It changes constantly. It cannot be done through meetings and spreadsheets at any real scale.

The alternative isn’t some five-year digital transformation. It’s connecting the execution layer, the part of the supply chain where decisions get made daily, and giving it enough intelligence to optimize across a short horizon. The immediate production. The current inventory. The known orders. The cost implications.

I don’t know exactly how quickly any given company can get there. It depends on their data, their systems, their willingness to change how decisions get made. But I do know that the cost of not getting there is higher than most people realize. It’s just spread across a thousand transactions a day, managed by people who are doing their best with what they have.

The pressure won’t ease. The variability won’t stop. The only question is how you respond to it.