Keeping Supply Chains Moving with AI: A Croatian Case Study

The Starting Point

In the heart of Croatia’s bustling supply chain sector, speed and accuracy are everything. Logistics teams often found themselves in a familiar but frustrating position: they needed critical information right now, but that data was scattered across multiple silos. Some was buried in the company’s own databases, other pieces lived with partners, and the rest could only be pieced together from external websites or even breaking news.

For transportation teams, the stakes were high. When a shipment was delayed, the difference between knowing it was caused by a regional strike, a technical fault, or even a geopolitical incident could mean the difference between a quick solution and days of disruption. The lack of immediate, consolidated insights was hurting trust with customers and draining employee focus.

The Challenge

Every delay triggered a scramble: analysts and managers searching through dashboards, databases, and news feeds to piece together what had happened. Creating even a simple report often required manual SQL queries that only technical staff could write. Instead of managing the flow of goods, supply chain experts were spending hours hunting for answers.

The result? Slow responses to partners and clients, growing frustration inside the company, and strained customer relationships in a sector where reliability is everything.

The Turning Point

That’s when our team stepped in with a clear vision: an AI-powered assistant designed to query, analyze, and synthesize data instantly.

Together with the client’s team, we built an AI system that could:

• Read and unify data from company databases, partner systems, and selected external websites.
• Scan live news feeds to flag relevant incidents impacting shipments.
• Dynamically generate SQL queries to answer specific business questions and speed up reporting.

With this assistant, employees could finally move beyond manual searching. Instead of waiting on IT or scrolling through multiple systems, they could simply ask and receive a clear, data-backed answer in seconds.

The roadmap doesn’t stop there. The next phase involves securely connecting the AI to company email systems, enabling automatic responses to recurring data requests — a move that will further free experts to focus on strategic problem-solving rather than routine queries.

The Outcome

The shift was immediate and tangible. Tasks that once took hours of data collection and manual querying were reduced to minutes. Analysts could spend their energy on analysis instead of search, and decision-makers gained faster clarity on why shipments were delayed and what to do about it.

The result wasn’t just efficiency: it was trust. Customers and partners saw a company that could respond quickly, explain delays with confidence, and offer solutions instead of excuses.

Data Privacy & Reliability

From day one, we built with security in mind. Depending on the client’s preferences, the AI model can operate fully inside a private cloud, on-premise servers, or securely connect to enterprise-level APIs from providers like OpenAI or Google — always with strict data protection controls in place.

To ensure long-term reliability, we also established a quality control and monitoring system. When new versions of language models are released, we don’t rush to update. Every upgrade goes through careful performance checks before being deployed in production.

Looking Ahead

For this Croatian supply chain leader, the AI assistant has opened a new chapter: one where real-time intelligence replaces reactive searching, and where employees can focus on solving problems rather than locating data. The foundation is now in place to expand into automated communications, predictive alerts, and deeper integrations across the supply chain ecosystem.

Let’s Explore What’s Possible

If your organization has ever struggled with scattered data, delayed insights, or missed opportunities in logistics, you’re not alone. This story shows that the right AI assistant can transform how teams work and how customers experience your service.

If you see yourself in this journey, we’d love to explore what’s possible together.