How AI Could Manage 60% of Supply Chain Disruptions by 2031

Supply chains worldwide, and particularly in Africa, are under increasing pressure. From shifting trade policies to geopolitical tensions and currency volatility, disruptions are becoming more frequent, less predictable, and more expensive to manage.

Now, new insights from Gartner suggest a major shift is coming.

By 2031, advances in artificial intelligence (AI) could enable companies to resolve up to 60% of supply chain disruptions without human intervention. In simple terms, businesses are moving toward systems that can detect problems and respond instantly, before managers even step in.

According to recent research from Gartner, companies that invest early in data, governance, and planning will be better positioned to adapt to this shift.

Why This Matters for African Supply Chains

The numbers tell a stark story. Nigeria loses over ₦1 trillion ($740 million) annually to port inefficiencies and limited automation, according to reports from The Punch. In South Africa, terminal operations at Durban, Cape Town, and Ngqura continue to struggle with vessel delays of up to four days at anchorage, delays that, as SCTSolutions has documented, ripple across borders into Botswana, Zambia, and beyond.

For African SMEs, these aren’t abstract statistics. They translate directly to missed orders, emergency airfreight costs, and eroded customer trust.

The traditional response, reactive, manual, and fragmented was built for slower disruptions. Today’s challenges move faster. Trade policies shift overnight. Currencies swing. Geopolitics rewrites routes. Without real-time visibility and AI-driven decision-making, companies aren’t just reacting slowly they’re reacting blind.

This is where AI becomes not just an efficiency tool, but a competitive necessity.

The Rise of “Agentic AI” in Supply Chains

Gartner reports that many Chief Supply Chain Officers (CSCOs) are already moving in this direction.

A recent survey of 509 supply chain leaders found that AI-driven changes in how work is done, especially through what’s known as agentic AI (systems that can act independently) will be the biggest driver of supply chain performance over the next two years.

What does this look like in practice? Imagine systems that automatically reroute shipments when a port closes, tools that adjust inventory levels in real time as demand shifts, and platforms that predict disruptions before they even happen. For retailers and distributors operating on thin margins, this kind of capability could mean the difference between stockouts and stability.

What the Experts Are Saying

Gartner’s Julia von Massow sees this shift as both necessary and delicate.

“As more frequent and complex disruptions continue to test response capacity, organizations are moving toward AI that can sense and act in real time to improve the consistency and speed of decisions,” said von Massow, Director Analyst in Gartner’s Supply Chain practice.

“CSCOs should focus on expanding autonomy in a controlled manner by starting with low-risk decisions and building the data and governance needed to grow automation capabilities responsibly in the coming years.”

Why Full Automation Isn’t Here Yet

Despite the excitement around AI, full automation is still a work in progress, especially in emerging African markets. Several challenges continue to impede growth, and they’re not trivial.

Data quality remains the foundational hurdle. AI systems are only as smart as the information they’re fed, and many businesses still rely on fragmented spreadsheets, paper records, or legacy systems that don’t talk to each other. Without clean, standardized data, even the most sophisticated AI tools will produce unreliable outputs.

System integration presents another layer of complexity. A distributor might have warehouse management software that doesn’t connect to their transport provider’s systems, or a retailer whose point-of-sale data never reaches their supplier. AI needs end-to-end visibility to make intelligent decisions; data silos break that chain.

Then there’s digital infrastructure. While mobile penetration is strong across Africa, consistent, high-bandwidth connectivity isn’t guaranteed particularly across borders or in remote areas where supply chain nodes often sit. Cloud-dependent AI tools struggle where the internet drops.

For now, the smartest approach appears to be a hybrid model: using AI for routine, low-risk decisions while keeping humans firmly in the loop for high-stakes scenarios. This balance allows companies to capture efficiency gains without exposing themselves to unnecessary risks.

A Shift in How Supply Chains Are Managed

As AI adoption grows, supply chains will need to evolve beyond traditional structures. Instead of rigid hierarchies, companies will require more flexible decision-making models, stronger data governance frameworks, and clear accountability for AI-driven decisions.

In this new setup, supply chain leaders won’t simply manage operations, they’ll also oversee how AI systems make decisions and ensure compliance with evolving regulations. The role expands from operator to orchestrator.

What Africa Should Do Now

To stay competitive, businesses don’t need to wait until 2031. The groundwork can start today:

1. Invest in Data First: Clean, accurate data is the foundation of any AI system. Without it, automation will fail.

2. Start Small with Automation: Begin with simple use cases like demand forecasting, inventory alerts, or supplier tracking.

3. Build Strong Governance: Put controls in place to monitor AI decisions and reduce risk.

4. Prepare Your Team: AI will change roles, not eliminate them. Upskilling staff is critical.

5. Have a Backup Plan: Always maintain the ability for human intervention when automated decisions go wrong.

The Bottom Line

AI is not replacing supply chain professionals, it’s reshaping how they work. For African businesses, the stakes are clear: those who invest early in data, governance, and smart automation will be the ones setting the pace, while others scramble to catch up.

From the congestion at Apapa to the backlogs at Durban, the message is the same. The businesses that act now won’t just survive the next disruption, they’ll define what resilient trade looks like on the continent for decades to come.

The future of supply chains isn’t just digital. It’s increasingly autonomous. And it’s arriving faster than many expect.