Collaborate Oviedo 2026: How AI in Supply Chain Is Transforming Logistics Operations

At Kaira Digital, we attended Collaborate Oviedo 2026 – SuperAutomate with a clear objective: to assess how AI in supply chain, supply chain software, and logistics optimization are already impacting the bottom line of industrial companies.

The conclusion is straightforward:
the supply chain is evolving from a reactive model to one that is anticipatory, connected, and optimized in real time.

From Automating Processes to Optimizing Decisions

For years, digitalization in supply chain has focused on operational efficiency. Today, the focus has shifted.

The most advanced organizations are using AI in supply chain to:

• Detect operational inefficiencies in real time
• Recommend actions in response to logistics incidents
• Optimize routes, loads, and transport resources
• Reduce costs without compromising service levels

The key is no longer to execute faster, but to make better decisions.

What We Saw on Site: Real Logistics Optimization

Company visits once again proved to be the best reality check. Beyond the narrative, we saw how logistics optimization is being applied with tangible impact:

End-to-End Visibility with Supply Chain Software

The most mature companies are investing in platforms that integrate:

• Inventory
• Transportation
• Logistics operations
• Order status

This type of supply chain software eliminates silos and enables decision-making with a complete view of operations.

AI in Transportation: Direct Cost Efficiency

One of the clearest use cases is AI in transportation, where models are already being used to:

• Optimize routes based on traffic, costs, and constraints
• Maximize load utilization
• Reduce empty miles
• Adjust logistics planning in real time

The impact is immediate:
lower logistics costs and higher operational efficiency.

From Reaction to Operational Anticipation

Another clear pattern was the shift from reaction to anticipation:

• Systems that detect delays before they occur
• Smart alerts for logistics bottlenecks
• Automatic reconfiguration of operations in response to incidents

This reduces disruptions and improves service levels without increasing resources.

One-to-One Sessions: Where Strategy Becomes Execution

One-to-one sessions were once again key.

In our case, many conversations focused on how to implement AI in supply chain in specific use cases:

• Where to start to generate quick impact?
• Which logistics processes are most critical?
• How to integrate new capabilities without disrupting current operations?

The conclusion is clear:
successful projects don’t start with technology, but with business impact.

Kaira’s Perspective: AI Applied to Logistics Operations

In this context, Javier Beltrán, CEO of Kaira Digital, shared how we are helping companies transform their supply chain with a practical approach.

Our focus is on applying AI and supply chain software where it generates direct impact:

• Logistics optimization in distribution networks
• AI in transportation to improve efficiency and reduce costs
• Intelligent decision systems in logistics operations
• Operational visibility to improve control and execution

The goal is clear:
to make the supply chain more efficient, more agile, and more profitable.

Conclusion: Competitive Advantage Is Already in the Supply Chain

What we saw at Collaborate Oviedo confirms a structural trend:

• Logistics complexity continues to grow
• Operational efficiency is increasingly critical
• And technology is the main enabler

But not just any technology.

Competitive advantage lies in applying AI in supply chain, specialized software, and logistics optimization in a smart, business-focused way.

Because in today’s context, the winners are not those who react best—but those who optimize first.