By Etop Ekanem

Data scientist and supply chain strategist Abdulfatai Abdulkareem has called on energy organisations to embrace AI and data science, building resilient supply chains capable of anticipating disruptions before they strike.

Disclosing this in a media statement recently, he asserts that energy supply chains, despite their critical role in manufacturing, transportation, and national defence, remain riddled with inefficiencies and bottlenecks that smarter data systems can eliminate.

“Energy supply chains are critical to everything from manufacturing to transportation and even national defence,” he said. “The challenge is that they are still affected by inefficiencies, logistics bottlenecks, and cost overruns that can be addressed with better data and smarter systems.”

He explained in the statement that rather than treating energy networks as fixed infrastructure, his framework analyses them as dynamic systems subject to shifting market signals, operational pressures, and geopolitical variables, with techniques such as Monte Carlo simulations allowing organisations to stress-test potential outcomes before committing capital.

“What we are building is a data-driven optimisation framework that improves efficiency, cost-effectiveness, and resilience across energy infrastructure,” he said. “It is about strengthening supply chains in a way that supports long-term competitiveness.”

According to his statement, the framework integrates AI-enabled market intelligence to analyse demand patterns, flag emerging risks, and identify inefficiencies across logistics and distribution networks before they escalate, a response to the growing limitations of conventional planning methods exposed by supply disruptions, pricing volatility, and ageing infrastructure across global energy markets.

Abdulkareem, who operates across Europe, Sub-Saharan Africa, and the Caspian region, has spent several years working across predictive modelling, market intelligence, and supply chain strategy.

His client engagements have spanned portfolios exceeding $600 million annually, with documented cost savings of between $1 million and $3 million per year.
Beyond the commercial case, Abdulkareem argues the stakes are broader.

“There is a direct link between how well energy supply chains function and overall economic performance,” he said. “Improving these systems is not just a business priority, it has wider implications for competitiveness and stability.”

With energy systems growing more interconnected, the ability to interpret complex data in real time is increasingly regarded as strategically important as physical assets, and the challenge, he notes, lies in building supply chains that do not merely respond to change, but anticipate it.

Abdulkareem is a seasoned data scientist and supply chain strategist with experience spanning energy markets across Europe, Sub-Saharan Africa, and the Caspian region, where his work has delivered measurable results for clients managing large-scale energy portfolios.