Summary
- AI data centre programmes rely on coordinated deliveries from a widely distributed manufacturing base.
- Export controls, customs, cargo security, specialist handling, storage, and site sequencing can disrupt commissioning schedules.
- Dimerco has not disclosed named projects or shipment volumes, but the delivery risks extend across servers, cooling, and electrical plant.
Dimerco Express Group has identified artificial intelligence infrastructure as a growing project-logistics challenge, as servers, networking equipment, cooling systems, and electrical plant move from manufacturers in Asia to data centre construction sites around the world.
The Taiwan-headquartered logistics company raised the issue during a supply-chain summit attended by more than 150 customers and specialists. Participants described a shift towards high-value, sensitive, and sometimes oversized equipment that must reach each project in a carefully controlled sequence.
No named data centre contract, European shipment volume, or delivery incident was disclosed. The operational risk is nevertheless familiar across large construction programmes: one missing switchboard, cooling module, or network component can hold up commissioning even when the rest of the building is ready.
Freight schedules meet construction programmes
AI infrastructure draws components from several countries and supplier tiers. Chips may be packaged in one market, incorporated into systems in another, assembled into racks elsewhere, and shipped separately from the electrical and cooling equipment required to run them.
Those movements need to align with design release, factory acceptance testing, site readiness, installation, and commissioning. Equipment arriving too early creates secure-storage, insurance, warranty, and environmental-control problems, while a late delivery leaves specialist labour, temporary services, and programme management costs running without progress.
High-value computing systems also increase the consequence of damage or theft. Dimerco says individual consignments can be worth tens of millions of US dollars, requiring controlled packaging, shock and tilt monitoring, secure handovers, suitable vehicles, and documented chains of custody.
Mechanical and electrical equipment creates a different handling problem. Generators, transformers, cooling modules, switchgear, and prefabricated plant may require route surveys, abnormal-load permits, escorts, cranes, lifting plans, and carefully prepared foundations before they can enter the site.
Construction logistics can become the final constraint even after an international journey is complete. Data centre sites often have restricted delivery windows, unfinished access roads, active lifting operations, limited secure storage, and several contractors competing for the same unloading areas.
Trade controls enter the critical path
AI hardware moves through a changing export-control environment, where product classification, destination, end user, licences, sanctions checks, and country-of-origin documentation can determine whether a shipment leaves on schedule.
Those requirements need to be addressed before cargo reaches a port or airport. A classification dispute or missing licence can leave high-value equipment in storage while the construction programme continues to consume time and money.
European deliveries may cross several customs and regulatory boundaries before reaching the final site. Bonded warehousing can provide flexibility when installation dates move, although each additional location creates another security perimeter, inventory handover, and insurance responsibility.
Premium air freight may be justified for servers and networking equipment where the cost of delay exceeds the transport premium. Larger plant is more likely to travel by sea and road, leaving one project dependent on transport modes with different booking horizons, weather exposure, and disruption risks.
Dimerco chairwoman Catherine Chien said: “AI may be powered by chips, but it’s enabled by logistics.” The company has a direct commercial interest in that conclusion, and its summit material does not quantify the volume of AI infrastructure moving through premium freight or compare logistics delays with shortages in manufacturing, power, or construction.
Project controls can still reduce the exposure. Equipment schedules should connect factory testing, export documentation, transit, secure storage, site access, installation, and commissioning, while serial numbers and custody records should flow into asset-management and warranty systems.
Contingency planning must cover delayed, damaged, or non-compliant equipment. Alternative routes, replacement stock, temporary storage, staged commissioning, and contractual responsibility for consequential delays are easier to settle before a critical package leaves the factory.
Dimerco’s project-logistics operation covers oversized freight, customs, specialist handling, and multimodal transport. As European AI developments compete for the same servers, switchgear, cooling equipment, and commissioning dates, logistics will sit increasingly close to the construction critical path.
