In an analysis published on August 19, 2026 on the website IT for Business, Patrick Van Denzel, Chief Revenue Officer of Alpega Group Loaders, believes that the resilience of supply chains increasingly depends on the ability of companies to connect, share and exploit their operational data.

This contribution by Patrick Van Denzel, responsible for the global revenue strategy and commercial development of the TMS business for shippers at Alpega, highlights the limitations of traditional supply chain management models.

For several years, companies have focused on reducing costs, stocks and delays. According to the author, this organization shows its limitations when transport disruptions, capacity tensions or blockages occur on major commercial routes.

In particular, the analysis highlights the possible gap between planning and operational reality. A container may, for example, arrive at its destination in accordance with the planned timetable, while road transport responsible for continuing transport is delayed.

When data remain dispersed between several systems, these differences can only be identified after having produced operational consequences. Patrick Van Denzel considers that visibility, flow traceability and availability of usable data are necessary for managing unforeseen events.

The issue of artificial intelligence is also addressed in this analysis published on IT for Business. According to Patrick Van Denzel, the adoption of these technologies depends largely on the quality and structure of the available data.

In particular, he cites a rate of 6% of European logistics companies declaring that they have successfully adopted AI. For the author, therefore, the main difficulty lies not only in access to technology, but also in the availability of verifiable operational data that is sufficiently structured to be exploited.

Finally, Patrick Van Denzel refers to the evolution of information systems towards platforms capable of connecting the various actors in the supply chain. Loaders, carriers, freight forwarders and other providers still have systems and data that are often separated.

The contribution supports the development of digital ecosystems to share information related to the planning, execution and monitoring of operations.

In this approach, the data architecture becomes a central element in the organisation of supply chains and the ability of enterprises to make decisions based on information available during operations.