Why supply chain integration is the defining infrastructure challenge of the next decade.

I’ve spent over than a decade building software for supply chains. In that time, the technology has changed beyond recognition. EDI is giving way to APIs. On-premise is giving way to cloud. And now AI is arriving with promises of genuinely transforming how supply chains operate. Yet the fundamental challenge – getting data to flow reliably between the systems and partners that make a supply chain work – has not gotten easier. In many ways it has gotten harder.

The world has never been standardised. And It never will be.

For as long as I can remember, the promise has been that supply chains would eventually converge on a common language, a shared protocol, a way of doing things that everyone agrees on. The fact it never happened is the natural consequence of a global economy in which there is no single supply chain. There are thousands of them, each a product of decisions made over decades by people who were solving the problems in front of them at the time.

The environment will not standardise. The companies that accept this – and build for it – are the ones that keep moving. And they are the ones whose AI investments will actually pay off. Because a fragmented integration landscape does not just slow down your operations. It puts a ceiling on what your technology can do.

The cost of waiting

Every week I speak to supply chain leaders who are waiting for data to flow. Waiting for two systems that should talk to each other to finally do so. And that waiting is expensive.

McKinsey research shows that major supply chain disruptions now occur every 3.7 years on average and can cost businesses up to 45% of a year’s profit over a decade. And 82% of supply chain leaders report their operations are currently affected by new tariffs – with between 20 and 40% of their activity impacted.

That is not a temporary condition. Tariffs are redrawing trade routes. Reshoring is fragmenting supplier bases that took decades to build. Geopolitical instability is making the predictable unpredictable. The companies that can adapt their integrations faster than the disruption arrives are not just more efficient. They are more resilient.

Meanwhile, the AI tools that promise to make supply chains smarter cannot see what your integration layer cannot connect. Every six-week change cycle is a six-week window in which a more agile competitor is moving, and you are not. Every gap in your data flows is a gap in what your AI knows – and gaps in what your AI knows become gaps in what your business can do.

Flexibility is not a feature. It is the capability itself.

What I have seen, consistently, in the companies that handle this well, is not a better technology stack. It is a different philosophy about integration. They have stopped trying to control the environment and started building for whatever the environment throws at them.

Any partner. Any system. Any format. Not as an aspiration – as an operational reality.

This is what we have been building at Lobster for more than twenty years. Not a tool for EDI, or a tool for APIs, or a tool for any single protocol or format. A platform that connects what needs to be connected, however it needs to be connected, without asking the business to replace what already works in order to add what it needs next.

This philosophy is also what makes a technology landscape genuinely AI-ready. The models are only as good as the data they can access. Gartner says organisations with successful AI initiatives invest up to 4x more in data and analytics foundations. Flexibility in integration is the prerequisite for AI that works in practice, not just in the pilot.

What becomes possible

When data flows flexibly, something shifts. You stop managing integrations and start acting on data. You detect a disruption before it becomes a delay. You onboard a new carrier in days, not months. You see what is happening across your supply chain in real time so you, or your AI systems can do something about it.

This is not a vision of the future. It is what supply chain teams are doing today – the ones that recognised that the world will not suddenly simplify, and prepared accordingly.

The integration challenge is not going away. The complexity is not going away. The partners who work differently, the systems that don’t talk, the formats that never standardise – that is the permanent condition of operating in a global supply chain.

With Lobster, there’s a way through it. There always has been.