AI at Loads: a strategic tool, not a label

Our business is not “selling AI.” Our business is global food trade—connecting supply and demand in an efficient, reliable, and scalable way. And that is precisely why AI matters to us: when used well, it is a powerful lever to improve our operations, our technology, and ultimately, our customers’ experience.

From curiosity to production

Like many technology companies, we began exploring AI out of curiosity. We tested different approaches, built prototypes, and quickly learned that not every use case creates immediate value. Some experiments worked, others didn’t—and both outcomes were equally valuable.

Today, we have productive AI agents integrated into our daily operations. A clear example is the automation of key documentation for international trade:

• Packing list generation

• Quality report generation

• Automatic classification of operational documents

These are not demos or lab experiments. They are production-ready solutions that reduce friction, manual errors, and operational time. In other words, technology applied directly to the efficiency of our core business.

AI as an accelerator for our engineering

Another area where we’ve seen a very significant impact is software development. AI does not replace our engineers—but it does empower them. It allows us to focus more on architecture decisions, quality, and product, and less on repetitive or low-value tasks.

Some concrete results we’ve observed:

• 70% less time spent on technical research

• 30% faster coding

• 50% faster UI design and development

• Data-cleaning cycles reduced from weeks to days

• 60% less time spent producing technical documentation

These numbers are not an end in themselves. What matters is what they enable: shorter delivery cycles, higher software quality, and a greater ability to iterate quickly without sacrificing stability.

Pragmatism over hype

It’s important to be clear: we don’t believe in adopting AI just to say we use it. Nor do we believe in replacing critical processes without fully understanding the risks. At Loads, we see AI like any other strategic technology: it must solve a real problem, integrate well with our systems, and generate measurable value.

This pragmatic approach has helped us avoid two common extremes:

• Paralysis driven by fear of “breaking things.”

• Overenthusiasm that leads to technical debt and fragile solutions.

Our focus is on incorporating the best of AI responsibly, aligned with our business objectives and guided by a long-term vision.

Our forward-looking vision

Looking ahead, it’s clear to us that AI will play an increasingly important role in how we operate, how we make decisions, and how we compete. To that end, we’ve defined a vision and a strategy that allow us to scale its use without falling into chaos, disorder, or hype.

Our core idea is simple, yet ambitious:
Increase efficiency, intelligence, and competitiveness at Loads to drive growth—without chaos, technical debt, or hype-driven distractions.

Based on this idea, we’ve structured our strategy around four pillars that guide our technological and organizational decisions. This is not about trends or adopting tools for the sake of it, but about building capabilities that are sustainable over time and that truly differentiate us in the market.

AI as a silent competitive advantage

You probably won’t see Loads claiming to be a “100% AI company.” What you will see—and are already seeing—is a more efficient operation, more robust digital products, and an organization that learns and adapts faster.

For us, that is the true value of AI: becoming a silent competitive advantage. One that doesn’t need big announcements, but is reflected in better decisions, better processes, and better results.

We’ll continue to experiment, measure, and learn—with our feet on the ground and our eyes on how technology, and AI in particular, can help us build the future of Loads in a smart and sustainable way.