Older, long-standing systems are continuing to slow down the adoption of artificial intelligence (AI) and wider digital change across UK logistics businesses, according to insight from Dev Partners.
Many companies still rely on systems that have supported their operations for years. They’re stable and familiar, and they get the job done day to day.
But while they still “work”, they’re becoming harder to connect with newer tools and technologies. This makes it more difficult to share data, improve reporting, and scale operations as the business grows.
As a result, businesses looking to introduce AI or improve visibility across their operations are often held back by systems that weren’t built for modern demands.
In logistics, this is a particular challenge. Core systems sit at the heart of live operations, managing shipments, documentation and partner integrations. Replacing them completely can be risky and disruptive.
Instead, many organisations are choosing to modernise what they already have. This means improving integration, refining workflows and gradually evolving systems without interrupting day-to-day activity.
Dev Partners, a UK-based software development company, recently worked with a logistics operator (The Seacon Group) to update a long-standing internal system while keeping operations running as normal. The project highlighted just how complex these systems can be, and how important it is to understand existing processes before making changes.
The company says a phased, practical approach is often the most effective way forward, helping businesses reduce risk while still moving towards more flexible, future-ready systems.
With AI and data becoming more important to how businesses operate, the ability to adapt existing systems is increasingly seen as key to staying competitive.
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