Tuesday, April 7th, 2026
ALICE organised the seventh webinar in the TG3 AI & Digital Twins series, titled Driving Strategic Vision Through Real-World Use Cases, bringing together experts to explore how Artificial Intelligence is being applied in logistics operations and how organisations can move from experimentation to real deployment.
The session was opened and moderated by Giuseppe Luppino (ALICE), who introduced the objectives of the webinar and positioned it within the broader work of ALICE on digital transformation in logistics. He emphasised that Artificial Intelligence is becoming a key enabler for improving efficiency, safety and decision-making across supply chains, but that its true value depends on how it is integrated into real operational environments. The webinar aimed to provide practical insights through concrete use cases, helping stakeholders better understand how to approach AI adoption in a structured and realistic way.
The main presentation was delivered by Eduardo Perea (VICOMTECH), who focused on how AI is reshaping logistics through real-world applications while also addressing the challenges that still limit its large-scale adoption. He began by highlighting the complexity of logistics systems, which are characterised by multiple stakeholders, dynamic conditions and strong interdependencies. These factors make it difficult to implement AI solutions in a straightforward way, particularly when compared to more controlled industrial environments.
A key message from the presentation was that the main barrier to AI adoption is not technological, but organisational. Many initiatives struggle to move beyond pilot phases because they lack a clear strategy or fail to align with operational needs. In this context, AI should not be treated as a standalone technology, but as part of a broader transformation process that involves data, processes and people.
The presentation introduced a structured approach to AI adoption, based on aligning long-term strategic objectives with shorter-term operational implementation. This includes defining clear use cases, ensuring data availability and quality, and progressively integrating AI into existing workflows. A strong emphasis was placed on starting from real operational problems rather than from technology itself, ensuring that solutions are relevant and deliver measurable value.
Several real-world applications were presented to illustrate how AI can support logistics operations in practice. One of the main examples focused on port environments, where AI-based solutions are used to improve safety, traceability and operational efficiency. These include automated container identification, visual monitoring of operations and systems that support decision-making in real time. The integration of connectivity technologies, such as 5G, plays an important role in enabling these capabilities by allowing faster data processing and more responsive systems.
Additional use cases demonstrated how AI can be applied in different contexts beyond traditional logistics operations. These included solutions for improving inventory accuracy through advanced visual analysis, as well as tools designed to support emergency response by combining geospatial data and real-time information. Together, these examples highlighted the versatility of AI and its potential to address a wide range of challenges across the logistics ecosystem.
A recurring theme throughout the presentation was the importance of integrating AI into existing processes rather than treating it as a separate layer. This requires not only technological readiness, but also organisational adaptation and collaboration between different stakeholders. Human involvement remains a key element, particularly in complex or critical situations, where AI is used to support decision-making rather than replace it.
The webinar concluded with a discussion and exchange with participants, focusing on practical aspects of AI adoption. Topics included the challenges of integrating new technologies into existing systems, the importance of data governance and the need for collaboration between technology providers and logistics operators. The discussion reinforced the idea that successful implementation depends on a combination of technical, organisational and strategic factors.
Overall, the webinar demonstrated that Artificial Intelligence has significant potential to transform logistics, but that its impact depends on how it is applied in practice. By focusing on real use cases and adopting a structured approach to implementation, organisations can move beyond experimentation and unlock tangible benefits across their operations.
The full webinar report is available via the ALICE Knowledge Platform.