Over the past decade, the main focus in supply chain management technologies has been on ensuring transparency. For shippers and logistics companies, it has become standard practice to know the location of cargo, its estimated arrival time, and any potential disruptions.

However, over time—especially following the period of instability caused by the Covid pandemic—it became clear that transparency alone was not enough. Major solution providers in this field have started to adopt new approaches.

The Shift to Autonomous Execution

FourKites, a company previously specializing in real-time cargo tracking, is now implementing what it calls autonomous execution. This involves using artificial intelligence not only to identify problems but also to automate booking shipments, processing documents, managing inventory, and resolving exceptions with minimal human intervention.

Rather than viewing transparency as the ultimate goal, new applications like Booking Connect and the expanded capabilities of Inventory Twin leverage supply chain data to trigger AI-driven decisions and workflows. For example, if there is a stock shortage, the system can automatically recommend moving goods, initiate shipment bookings, select a carrier, and start tracking—all within a single platform.

Booking Connect also automates contract management with carriers, compares agreed rates, manages document flow and booking exceptions, while still allowing users to retain control over financial commitments where necessary.

Impact on Efficiency and Operations

According to FourKites, clients are already seeing significant efficiency gains. One consumer goods manufacturer halved the time spent tracking shipments and improved tracking quality by 20% in just four weeks. A food producer reduced daily manual coordination time for each logistics manager by 2–3 hours, cut penalties for delays and downtime, and finance departments reported savings of around 30% on fines and storage costs.

Automating routine tasks such as booking ocean freight, collecting documents, and handling standard exceptions reduces the need for large operational teams. It is expected that specialized AI agents will increasingly handle these tasks, allowing employees to focus on more complex exceptions and commercial decisions.

Industry Changes and New Solutions

Similar approaches are being adopted in other logistics segments. For example, the British company FreightSuite has developed a transport management system built from the ground up with AI to automate quote creation, document processing, shipment administration, and invoicing. According to the company, the platform automatically matches incoming emails and documents with the correct shipment in about 90.7% of cases, enabling staff to process more orders.

The Future of Competitive Advantage

As routine operations become automated, competitive advantage will depend less on manual shipment coordination and more on effectively handling exceptions, managing customer relationships, and making commercial decisions. Transparency will remain important, but as AI evolves to not only display but also act on supply chain data, the speed of resolving disruptions—rather than just detecting them—will become the key differentiator.