How to optimise your supply chain: what the data shows actually improves performance

11 May

Optimising a supply chain is often talked about as a technology challenge or a cost‑cutting exercise. In reality, the strongest gains usually come from a small number of structural decisions made early and applied consistently.

Recent UK and international data shows that supply chain performance is less about chasing the lowest possible cost and more about reducing friction, improving reliability, and shortening recovery time when disruption occurs. Governments and industry bodies now measure these factors explicitly, and the results are instructive for businesses looking to improve how their supply chains perform in practice.

Start with where the movement actually happens

According to the UK Department for Transport, 206 billion tonne‑kilometres of domestic freight were moved in Great Britain in 2024, with 82% of that freight carried by road. Rail and water combined accounted for less than 20% of domestic movement, despite offering lower congestion and emissions in suitable scenarios. [gov.uk]

For optimisation, this matters because supply chains are often over‑designed around assumptions rather than data. Many organisations default to road transport without reassessing whether parts of their network could benefit from rail, water, or short‑sea alternatives for specific lanes.

Optimisation here doesn’t mean switching everything. It means identifying where alternative modes reduce bottlenecks, cost volatility or driver dependency, especially on high‑volume, repeat routes.

Reduce time loss at borders and handover points

The most significant performance differences in global supply chains are not driven by distance, but by how long goods wait.

The World Bank’s updated Logistics Performance Indicators (LPI 2.0), based on shipment‑level data across 172 economies, shows that countries with efficient customs and port processes clear imports in fewer than three days, while the least efficient can take more than 21 days for the same process. [portcalls.com]

From an optimisation perspective, this points to two practical actions:

First, invest in documentation accuracy and compliance upstream. LPI data consistently highlights customs performance as a primary driver of reliability, not transport speed alone.

Second, minimise unnecessary handovers. LPI 2.0 identifies time penalties concentrated at ports, transhipment hubs and inland checkpoints, reinforcing that each additional interface increases variability. [clecat.org]

Optimised supply chains reduce touchpoints wherever possible and make the remaining ones predictable.

Use inventory strategically, not defensively

Data from Logistics UK and Oxford Economics shows that logistics underpins around 12% of the UK’s non‑financial economy, with congestion, underinvestment and inefficiency acting as significant drags on productivity. [oxfordeconomics.com]

One of the most effective optimisation levers is how inventory is positioned and justified. The OECD’s Supply Chain Resilience Review notes that relocalisation or blanket reshoring does not consistently improve resilience, and in some cases increases volatility rather than reducing it.

Businesses that perform better tend to:

Place inventory based on demand volatility rather than historical habits
Use regional buffers selectively, not universally
Avoid overreacting to disruption by stockpiling without visibility

The data supports a hybrid approach: distributed inventory with strong coordination, rather than centralised efficiency or fragmented safety stock.

Improve visibility to act earlier, not just see more

According to Worldmetrics industry analysis, 80% of UK logistics providers now use IoT or real‑time track‑and‑trace tools, and 72% planned to increase investment in automation by 2025. [worldmetrics.org]

However, the World Bank’s move from perception‑based rankings to performance‑based LPI 2.0 reflects an important insight: visibility only improves outcomes when it shortens decision time.

High‑performing supply chains use visibility to answer three operational questions early:

Is this movement still on track?

If not, do we still have options?

Who needs to know now, not later?

Optimisation here is about signal quality, not volume of data. Systems that highlight exception risk earlier consistently outperform those that simply report status.

Invest in infrastructure awareness, even if you don’t own it

Logistics UK estimates that the annual cost of congestion on the UK Strategic Road Network for HGVs has increased by nearly £1 billion between 2015 and 2024, largely due to capacity constraints on a small number of critical corridors. [logistics.org.uk]

While individual firms cannot solve national infrastructure limitations, optimised supply chains account for them realistically.

This includes:

Designing routes that avoid pressure points at peak times

Building realistic transit buffers into planning, not retrofitting them later

Aligning delivery windows to infrastructure reality, not ideal conditions

Supply chains optimised on real infrastructure behaviour outperform those optimised on theoretical transit times.

Measure performance in recovery speed, not perfection

Oxford Economics highlights that restoring the UK’s logistics performance closer to top‑tier global levels could add up to £3.9 billion to GDP by 2030, largely through productivity gains rather than expansion alone. [oxfordeconomics.com]

The underlying implication is important for businesses: optimised supply chains recover faster, rather than avoiding disruption entirely.

High‑performing networks are characterised by:

Clear escalation paths
Pre‑agreed alternatives
Calm intervention rather than last‑minute firefighting

In practical terms, this means measuring how quickly a supply chain returns to plan after disruption, not how rarely disruption occurs.

The data‑led conclusion

Government and independent statistics consistently point to the same conclusion: supply chain optimisation is not about radical transformation. It’s about reducing friction, shortening decision cycles, and aligning plans with reality.

The most effective improvements come from:

Fewer, better‑managed handovers
Accurate data at the point of origin
Infrastructure‑aware planning
Visibility that enables early action

Supply chains optimised in this way are not just cheaper to run, they are more predictable, more credible, and more resilient under pressure, which is exactly what modern trade demands.

Neil Mason