The logistics technology landscape has undergone more change in the last five years than in the preceding two decades. Driven by the disruptions of the pandemic, the operational demands of post-Brexit customs management, and the acceleration of digitalisation across supply chains, freight management systems have evolved from transactional booking tools into sophisticated, data-rich platforms that underpin strategic supply chain decisions. This guide examines the key technology trends reshaping trade logistics and what businesses should be evaluating as they review their technology stack. Transport Management Systems (TMS) The TMS market has matured significantly, with enterprise-grade platforms now accessible to mid-market businesses through SaaS pricing models. Modern TMS platforms provide: - Multi-modal booking and rate management (sea, air, road, rail) - Carrier performance tracking and analytics - Dynamic rate comparison and auto-award functionality - Document management (bills of lading, AWBs, customs documents) - Integration with ERPs, customs systems and carrier APIs For businesses managing complex multi-modal or multi-carrier logistics, a TMS is no longer optional — it is a baseline operational tool. The ROI typically comes from rate optimisation, carrier consolidation and reduced manual processing. Real-Time Visibility and Track-and-Trace Real-time supply chain visibility has become a buyer expectation. Platforms such as FourKites, project44 and Shippeo aggregate carrier data to provide end-to-end shipment tracking across modes and carriers. For customs agents and compliance teams, visibility platforms that incorporate border status data — including customs hold status, port congestion and estimated arrival times — are particularly valuable. Artificial Intelligence in Freight AI applications in freight and logistics are maturing rapidly: - Demand forecasting: AI models predict logistics demand with greater accuracy than traditional statistical methods, enabling better capacity planning. - Dynamic pricing: Freight rate platforms are increasingly using ML models to generate real-time pricing that reflects current carrier capacity and market conditions. - Route optimisation: AI-powered routing tools optimise multi-stop road freight routes in real time, incorporating traffic, weather and border crossing data. - Exception management: AI flags exceptions — customs holds, delays, mis-routed shipments — in real time, enabling earlier intervention. - Document processing: OCR and AI document processing tools automate the extraction of data from bills of lading, packing lists and customs documents, reducing manual keying and error rates. Customs Technology Integration The integration between logistics platforms and customs declaration systems has become an important capability differentiator. The ability to pass shipment data directly from a TMS or visibility platform to a customs filing system — without manual re-entry — reduces declaration errors, accelerates processing and improves compliance. In the UK context, systems that natively integrate with CDS (either direct or via intermediary APIs) are increasingly in demand among customs agents and large importers managing in-house customs teams. Sustainability Data and Carbon Reporting With CBAM and growing corporate sustainability reporting requirements, the ability to calculate and report freight-level carbon emissions has moved from a nice-to-have to a commercial necessity for some shippers. Logistics platforms are embedding carbon calculators that allow businesses to estimate and compare emissions across routes and modes — and, increasingly, to export data for sustainability reporting. Evaluating Logistics Technology For businesses evaluating logistics technology purchases, key considerations include: - Integration: What are the integration capabilities with your existing ERP, customs and carrier systems? - Scalability: Does the platform scale with your volumes and geographic expansion? - User experience: How steep is the learning curve for your logistics team? - Data ownership: Who owns your shipment and rate data? Can you extract it? - Vendor stability: Is the vendor financially stable with a credible customer base? - Implementation support: What onboarding and training support is provided? Conclusion Logistics technology is no longer a back-office efficiency play — it is a source of competitive advantage for businesses operating in complex international supply chains. Businesses that invest in the right technology stack, with appropriate integrations and data governance, will operate with meaningfully lower costs, fewer compliance errors and greater supply chain resilience.