Artificial intelligence may dominate boardroom conversations, but in African logistics, intelligence has never been confined to systems or algorithms. Long before AI became shorthand for efficiency, African supply chains relied on people solving local challenges: long distances, varied terrain, cross-border requirements, uneven infrastructure, language differences and the pressure to keep essential industries moving.
This does not downplay the role of technology. Real-time data, telematics, predictive maintenance, business intelligence and vehicle innovation already help operators work smarter, safer and with greater visibility. However, the real test in Africa is whether technology can be adapted to the conditions in which African industries operate.
This is where African Ingenuity becomes a competitive advantage. It means designing practical solutions for local realities, not forcing them to fit imported templates. It is the intelligence of people who know the road, the customer, the product, the border, the season, the terrain and the risk, and who turn those variables into workable systems.
Few people understand this better than Noddy Ramroop, Head of Business Development for the Freight Division at Unitrans. Noddy recently celebrated 40 years with the business. Since joining Unitrans in 1986, he has worked across the organisation and in multiple markets, including agriculture, fuel and chemicals and in our operations in Botswana, Malawi and South Africa. Over that time, he has seen the industry change dramatically.
Today, logistics is a specialist, technology-enabled industry. Data, systems, advanced vehicles and operational expertise are part of daily delivery. Yet the evolution of logistics in Africa has never been as simple as moving from manual to digital. It has been about making each new tool work in environments where conditions are not uniform.
A system designed for one route or customer may need to work differently elsewhere. African Ingenuity is about identifying constraints early, understanding local realities, designing around them and improving solutions over time. This is especially important when supply chains span different countries, languages, regulations, infrastructure conditions and customer needs.
That kind of complexity is not a side issue in African logistics. It is the operating environment.
“For me, relationships are vital. I can’t actually put a value on it. That’s what makes our business tick,” says Noddy.
Relationships matter because no logistics solution stands alone. It depends on customers, teams, communities, technology partners, drivers, planners and operational specialists working towards the same outcome. In markets where conditions can shift quickly, trust and collaboration often decide how effectively a solution adapts when the plan meets reality.
Noddy believes the best logistics partners are those who can look at complexity differently. Instead of seeing a challenge only as a barrier, they look for the opportunity inside it. “As I always say to my team, whatever the complexity is, turn it on its head and come up with a solution,” he says. “That is how you find the opportunity.”
That mindset can be seen in practical ways across the sector.
In areas with inconsistent network coverage, live tracking can be interrupted. The answer is not to abandon visibility, but to design systems that work with that reality. Technology can record and preserve vehicle data while the asset is outside coverage, then upload the information once the signal returns, protecting the data trail and supporting accountability.
Performance-Based Standards vehicles provide another example. These heavy vehicles are designed and assessed according to strict safety and performance standards, allowing operators to improve efficiency while maintaining safety on approved routes. In Africa, efficiency is often tied to distance, road conditions, payload, route approvals and the safe movement of high-risk products. This is engineering applied to operational need.
Agriculture offers a further example. In cane operations, progress has often come through trial, adaptation and close collaboration with growers. Noddy points to the evolution from traditional transport into more integrated field services, where teams had to consider field conditions, compaction, loading methods and the time between cutting and crushing. Through testing, technological advancement and operational adjustment, the process evolved to support better movement from field to mill.
The same discipline applies to product integrity and fuel loss prevention. In high-risk, high-value sectors, vigilance is not a once-off intervention. It is a continuous process of monitoring, learning, improving and adding new layers of control.
This is where talent becomes vital. Experienced employees hold institutional knowledge that systems cannot provide. They know why routes behave differently, where gaps may emerge, how customer needs have changed and which details can influence larger outcomes.
At the same time, younger talent brings digital skills, new ideas and ease with emerging tools. African logistics does not need to choose between experience and technology. The sector should deliberately combine both, pairing operational knowledge with digital skills to create teams that understand ground realities and improve the systems that support them.
For Unitrans, this is where logistics becomes more than a transport function. By moving goods, materials, people and essential products, the sector forms part of the operating infrastructure that enables industries to grow, communities to function and economies to progress. As Noddy’s 40-year journey shows, artificial intelligence will continue to shape supply chains, but Africa’s real advantage lies in organisations that combine smarter systems with African Ingenuity, developing practical, fit-for-purpose solutions around local conditions. The real AI in African logistics is therefore about the people whose expertise, adaptability and problem-solving keep industries moving and make growth possible where it matters most.
