AI in logistics: the trends that will shape business competitiveness

AI is no longer a topic discussed only at technology conferences. In 2026, it became one of the key subjects at the largest logistics and business forums across Ukraine and the European Union. While just a few years ago industry professionals were exploring AI’s potential, today’s discussions are focused on its practical application.

Logistics is becoming a data-driven industry

One of the central topics at the Ukrainian Transport Forum, organized by the Association of International Freight Forwarders of Ukraine and the European Business Association, was the digitalization of the transport industry.

Participants emphasized that amid wartime risks, changing trade routes, volatile freight rates, and infrastructure constraints, competitive advantage increasingly depends not on the number of trucks or warehouses a company owns, but on its ability to process and leverage data quickly.

One of the key takeaways from the forum for GOL was that logistics is rapidly evolving into a data-driven industry. In our daily operations, we see how artificial intelligence helps analyze routes, identify risks, and improve the efficiency of our teams. Today, the ability to work with data has become one of the defining factors of competitiveness for logistics companies.

Forecasting is becoming more important than reacting

Similar conclusions were highlighted at Grain Ukraine 2026, where the future of export logistics was one of the main topics.

A key takeaway from one of the most influential conferences in the agricultural sector was that logistics is increasingly becoming a strategic business management tool. For exporters, it is no longer enough to simply deliver cargo. Businesses also need to understand how routes, costs, and risks may change over the coming months.

Artificial intelligence enables companies to generate these forecasts much faster and with greater accuracy by analyzing vast amounts of transportation and infrastructure data. That is why AI has become an essential part of GOL’s operations, supporting not only day-to-day logistics but also the development of export strategies for our clients.

Logistics companies are becoming business partners

At the Forbes x Done business forum, experts discussed the key challenges and opportunities facing importers, including effective sales channels and product adaptation to the needs of the Ukrainian market.

This trend is gradually transforming the very nature of the logistics business—from providing standalone transportation services to managing customers’ logistics processes as a whole. This is exactly the approach we are implementing at GOL by positioning ourselves as a logistics partner and solution architect rather than simply a transportation provider.

Europe is moving toward predictive logistics

At SIL Barcelona 2026, one of the main topics was the concept of Predictive Logistics.

The key conclusion from the discussions was that companies should not react to disruptions after they occur but anticipate and prevent them in advance.

This approach relies on delay forecasting systems, algorithms for evaluating transport corridor capacity, and AI-powered decision-support solutions. In other words, the industry is shifting toward proactive logistics management.

Artificial intelligence is becoming part of everyday operations

Artificial intelligence was also one of the central topics at Breakbulk Europe 2026. Participants discussed its application in transportation planning, risk management, port coordination, and improving supply chain transparency. Particular attention was paid to the practical implementation of AI technologies in the daily operations of logistics companies.

One thing became especially clear at Breakbulk Europe: the market no longer sees artificial intelligence as an experimental technology. Today, businesses are looking for practical tools to improve efficiency and manage risks. At the same time, one of the conference’s main messages was that AI does not replace human expertise—it enhances it.

From transportation to logistics management

Overall, four key conclusions can be drawn:

• Artificial intelligence has fully moved from the category of experimental technologies to everyday business tools.
• The primary value of AI lies in supporting decision-making through advanced analytics and forecasting.
• Logistics companies are gradually becoming data integrators and strategic partners for their customers.
• Businesses increasingly expect logistics providers not only to transport cargo but also to manage the entire logistics ecosystem.

At the same time, artificial intelligence enables managers to analyze large volumes of data more quickly, identify patterns, and generate more accurate forecasts, allowing logistics providers to offer customers more efficient and reliable supply chain solutions.

The role of logistics companies is also evolving. Today, customers expect comprehensive support not only in organizing transportation but also in international trade, including the analysis of optimal import and export routes, identification of new trade opportunities, risk assessment, partner verification, and support throughout foreign trade operations.