The supply chain is becoming less and less a linear sequence to optimize and increasingly a system exposed to volatility, interdependencies, and sudden change. In this episode of DGS On AIr, Stefano Fazio, Pre-Sales Manager & Solution Expert at DGS, and Livia Torterolo, R&D Manager at DGS, explore what it means today to talk about Cognitive Supply Chain and why historical data alone is no longer enough to drive effective decisions.

The conversation starts from a central question: how do you manage a supply chain when the context changes while you are still planning it? From there, the limitations of an approach based only on forecasting and visibility become clear, and a different paradigm begins to emerge - one in which artificial intelligence helps interpret internal and external signals, assess their impact, simulate alternative scenarios, and support faster, more informed decisions.

Throughout the episode, Stefano Fazio takes a closer look at how a cognitive supply chain actually works, clarifying the shift from digitalization and automation to true decision-making capability. At the center is ComplEtE, DGS’s platform designed to connect data, context, KPIs, and simulations, helping organizations move toward more adaptive, resilient, and governable processes.

Alongside the operational dimension, Livia Torterolo explores the role of research as a strategic lever for turning innovation and experimentation into industrialized capabilities. Universities, European projects, digital twins, data spaces, and cognitive models thus become part of an ecosystem that enables the development of scalable solutions applicable to real business contexts.

What emerges is a clear picture of DGS’s positioning: a partner able to bridge research and business, innovation and execution, supporting companies on a practical path toward more cognitive, resilient, and adaptive supply chains.