Why working harder won’t cut logistics costs

Organisations rarely launch a logistics cost transformation simply because they want logistics to cost less.

More often, the conversation begins with a wider business challenge: falling margins, an increasingly expensive network, changing customer or channel requirements, an acquisition, or deteriorating service.

Logistics comes into focus because it is where these pressures become visible through higher costs, un-utilised capacity, premium freight, more inventory and growing operational complexity.

But these are often symptoms rather than root causes.

The question is not simply:

“How do we reduce logistics cost?”

It is:

“What has changed in the business, how is that affecting our logistics economics, and what must we do differently?”

Geopolitical uncertainty, cost volatility and unpredictable demand are intensifying pressure on margins. With limited ability to pass further increases to customers, businesses must find more sustainable sources of internal value. Yet customers continue to expect greater choice, faster fulfilment and more reliable service.

Product portfolios, channels and service propositions have expanded, but the networks, processes and technologies supporting them have often evolved incrementally rather than by design.

Meanwhile, many organisations have already exhausted the traditional cost levers that can protect margins in the short term but rarely address the structural causes of logistics cost.

For so many organisations the symptoms are now increasingly visible:

• Logistics cost grows faster than revenue
• Service improves only through additional inventory, capacity or premium freight
• Growth adds disproportionate complexity and cost
• Local savings create cost elsewhere in the supply chain
• Teams spend more time managing exceptions and operational recovery
• Investment decisions are delayed because the future operating model is unclear

There has rarely been a stronger case for logistics to have a seat at the top table.

Logistics now sits at the intersection of many of the issues being discussed in boardrooms. It is no longer simply the function that executes business strategy. It increasingly determines whether that strategy is operationally and economically viable.

For many organisations, logistics represents a significant share of the end-to-end cost base and one of the largest remaining sources of controllable value. Every pound of sustainable logistics cost removed can flow directly to the bottom line. Delivering the same profit through revenue growth may require significantly greater sales, capacity and investment.

Logistics leaders should therefore be part of the conversation when strategy is shaped, not only when its operational consequences need to be managed.

The question is whether organisations continue pursuing incremental savings or redesign the conditions that create cost.

Logistics cannot independently solve costs created by decisions made across commercial, planning, procurement, manufacturing, inventory and customer service.

Escaping the Logistics Treadmill therefore requires more than another cost programme.

In my experience, the next wave of logistics value sits across three connected shifts.

A. Simplification and productivity

Simplify before asking the operation to run faster.

Productivity is fundamental to logistics performance. But complexity places a ceiling on what conventional productivity programmes can achieve. Every service variation, unnecessary touch, manual intervention and recurring exception adds work to the system.

The instinctive response is often to demand more from internal teams and logistics providers. But real productivity comes from removing work that should never have been created.

This means simplifying service propositions, standardising processes, improving load and route efficiency, reducing handling, removing recurring exceptions and addressing the causes of rework.

AI can strengthen this effort by identifying recurring exceptions, revealing hidden drivers of unproductive work and improving planning. But it cannot compensate for an unnecessarily complex operating model. Applied without simplification, AI risks helping the organisation manage avoidable complexity faster rather than removing it.

In padel, poor positioning forces players into repeated recovery shots. The effort may be impressive, but it is rarely the best way to control the point.

Logistics is no different. If an operation spends much of its time recovering from complexity, the answer cannot always be to recover faster.

B. Better end-to-end decisions

Logistics cost is not solely a logistics output. It is an end-to-end business outcome.

Consider the decisions that shape logistics economics:

• Commercial determines the proposition and service promise
• Planning translates demand into supply and inventory requirements
• Manufacturing and procurement shape batch sizes, sourcing locations, lead times and inbound flows
• Inventory determines where and whether demand can be fulfilled
• Finance determines which outcomes are visible and how functions are rewarded

Logistics receives the combined output.

• A customer is promised next-day delivery without a clear understanding of cost-to-serve
• Inventory is reduced in one area, but premium freight and split shipments increase elsewhere
• A promotion drives a sudden demand peak, creating warehouse overtime and additional capacity requirements

Each function may achieve its individual target, but the end-to-end cost can still increase.

This is why cost-to-serve must become a more central part of logistics transformation.

Better data, advanced analytics and AI can make these trade-offs more visible. They can connect fragmented operational and financial data, identify patterns that traditional reporting misses, simulate alternative scenarios and help decision-makers understand the likely cost and service consequences of their choices.

Businesses need a shared, fact-based understanding of which customers, products, channels and service promises create value, and which create cost without adequate return. The objective is not to constrain commercial ambition, but to enable informed choices.

Logistics is where cost becomes visible. The cause often sits upstream.

In padel, strong players see the whole court, not just the ball immediately in front of them.

Strong logistics leaders must do the same.

C. Investment and redesign

Some logistics opportunities can be delivered through better execution. Others require a more fundamental question: Is the current network and operating model still fit for purpose?

Customers, channels, product portfolios and service expectations change, but logistics networks can continue operating against design assumptions made years earlier.

At some point, incremental optimisation reaches its limit.

Structural cost transformation may require targeted investment in areas such as:

• Network footprint, facility location and flow-path redesign
• Inventory deployment and fulfilment logic
• Warehouse automation and transport-management technology
• Planning, optimisation, data, AI and cost-to-serve capability
• Strategic partnerships, workforce capability and operating-model redesign

Not every organisation needs more technology, automation or assets. Applied to unnecessary complexity, technology can simply accelerate the wrong operating model.

The sequence matters. Simplify the requirement. Improve the decisions. Then invest in the right model.