Oracle: How to Transform Cross-Border Logistics with Tech

Cross-border logistics underpins global trade by moving goods smoothly across jurisdictions while aligning customs rules and transport to keep supply chains resilient and cost-effective.

It opens markets, supports nearshoring and e-commerce, and reduces risk through better visibility and harmonised standards, sustaining competitiveness and customer satisfaction that trade internationally every day.

Guy Armstrong, SVP Cloud Applications for UK&I at Oracle, explains how companies can overcome cross-border logistics challenges using technology.

What key challenges are companies facing when managing cross-border logistics - and how can they be overcome? 

The biggest challenges when managing cross-border logistics are disruption and changing conditions.  Congested ports are a significant issue for many organisations because it exacerbates other complexities in the supply chain – whether that’s changing between different service and logistics providers, or switching between cargo transportation modes, like ocean to road. To manage this, companies must think about their end-to-end supply chain strategies and better understand the potential disruptions that could throw them off course.

Another challenge that many organisations face is managing the complexities of import tariffs and trade agreements. When moving cross-border, companies face varied, changing rules and regulations that impact their inventory pre-, during, and post-transit.

The game changer for organisations here is visibility. Knowing exactly where goods are, what components they contain, and their country of origin helps businesses assess whether they’ll need additional shipping steps, how products should be classified, and which trade agreements apply. That visibility allows companies to adapt quickly to new regulations and manage their global supply chains more strategically.

How do regulatory differences between countries impact supply chain efficiency and how can firms stay compliant?

Regulations vary by country and global trade agreements and international tariffs are often in a state of flux, so supply chain leaders’ role in maintaining compliance has become centre stage. Operational plans have been impacted not only for the next twelve months, but even at a day-to-day level. For example, a company might have inventory already in transit that arrives just as a new trade agreement comes into effect.

Technology, such as Oracle Global Trade Management, can help support these compliance efforts by centrally managing cross-border trade processes. For example, AI-powered product classification helps logistics managers quickly and accurately classify new and modified products based on tariff schedules, export control lists, and munitions lists by utilising machine learning-based product classification.

By centrally managing business processes related to cross-border trade through a global compliance solution, companies of all sizes can gain unparalleled visibility and control over orders and shipments and ensure adherence to trade regulations.

How has technology transformed cross-border logistics in recent years?

One of the biggest technology shifts impacting cross-border logistics professionals has been the improvement of real-time data visibility. With the right technology, businesses can pinpoint exactly where their inventory is throughout its journey, much like the tracking experience you have as a consumer. That data can also be shared with departments within the business, such as the customer experience team or workforce scheduling professionals, enabling more responsive decision making based on up-to-date information.

Technology has also given companies more options with their logistics, and the ability to assess those options without having to test them in practice. For example, organisations can now use technology to assess the trade agreements and International Commercial Terms for a product to determine the impact of sourcing products from specific regions.

Digitisation and increased visibility have ultimately given supply chain professionals the ability to optimise their physical supply chain while also forecasting how it can be more tax efficient.

What role do visibility and data integration play in reducing disruption to international shipments?

Data is critical to efficient order fulfillment, minimising logistics costs, and adapting to disruptions in the supply chain. For example, having a single source of operational data helps gain insight into alternative routes and carriers using what-if scenario models to understand potential impact, and deploy changes to your logistics network.

One of Oracle’s partners, Everstream Analytics, monitors factors such as port congestion and extreme weather conditions, helping customers anticipate and assess the likely impact of different disruption scenarios. By integrating this kind of insight into their supply chain operations, companies can evaluate multiple delivery options, make better-informed decisions, and understand the financial impact of different scenarios.

How do companies balance cost-efficiency with speed and reliability when choosing cross-border shipping options?

Many organisations struggle to balance expectations – such as published vessel schedules or carrier delivery estimates – with the reality of when production or shipping will actually take place. This is where AI and predictive analytics come in. By using real-time visibility data, companies can get a more accurate understanding of their cross-border shipping options. Companies can also use those AI-driven insights to support data-led decisions that assess aspects like cost, lead time, and carbon efficiency.

For example, Oracle’s Logistics Network Modelling tool helps supply chain teams see how different transport choices affect cost, delivery time, and sustainability. A company that usually ships by air could simulate the impact of switching to ocean or road, either validating their current approach or uncovering better alternatives.

Scenario-based planning, powered by AI, gives organisations the tools to navigate the complexities of international trade with greater confidence and flexibility.

What emerging trends are shaping the future of cross-border logistics?

AI is undoubtedly shaping the present and the future of supply chain management and cross-border logistics. Tasks like product classification are already being enhanced with AI and machine learning, helping logistics managers quickly and accurately classify new and modified products based on factors like tariff schedules.

AI is also being used to inform transit and arrival time predictions, enabling better planning across the supply chain. The more information that logistics professionals can access in real time, the better decisions they will make. As real-time data becomes more granular, companies will be able to track inventory down to the container – even monitoring details like shipment temperature – and share that insight across the business.

AI will play a critical role in delivering the next level of precision, responsiveness, and control in cross-border logistics.