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For Sanjay Kapoor, CEO of Dubai-based voyage operations specialist GeoServe, the dry bulk shipping industry stands at an inflection point – not because the risks have changed, but because the speed at which they move has transformed almost beyond recognition. “Factors such as counterparty risk, freight volatility, fuel exposure, port delays and regulatory pressures are not new in dry bulk shipping,” he says. “What has changed today is the speed at which these variables move and how closely they interact with one another.” Kapoor points to geopolitics as the sharpest illustration. A disruption in a key corridor can reroute vessels overnight, extending voyages by thousands of miles and materially altering insurance, fuel and freight economics. “These are not theoretical risks,” he says. “They shape daily decisions for dry bulk operators, owners and charterers.” Against that backdrop, he identifies one breakthrough above all others for the coming twelve months. “If I had to call out one development that could impact the dry bulk industry in the next one year, it would be the move towards decision intelligence – and more importantly, decision intelligence at speed.” The precondition for that, he argues, is integration. “If freight is analysed in one system, fuel in another, emissions elsewhere and port data separately, decisions remain fragmented and delayed. When these inputs are integrated into a single view of the voyage, judgement becomes sharper, faster and more accurate. That integration is the first real step change.” Kapoor is bullish on artificial intelligence but insists on framing its role carefully. Technology, he says, is set to be “the co-pilot, sitting beside every stakeholder in a voyage to strengthen discipline and reduce blind spots” – processing large volumes of signals quickly and highlighting implications, whether that is the impact of fuel price shifts on voyage margins or recommending speed adjustments when discharge congestion builds. Technology is set to be the co-pilot, sitting beside every stakeholder in a voyage to strengthen discipline and reduce blind spots Yet he is candid about where the industry still falls short. “AI still operates at the edges rather than being embedded into core commercial and operational decision-making,” he says. The problem, in his view, is one of sequencing. Too often, solutions are introduced before the underlying workflows are simplified or data fragmentation resolved. “Too often solutions are introduced first and only then do teams start searching for the problem they are meant to solve. The more effective approach is the opposite.” The structure around AI matters as much as the technology itself. “For AI to create real value, it must sit within clear processes – identifying who reviews the signals, who takes the call, and how that decision impacts the voyage outcome. Without that structure, AI improves isolated tasks. With it, AI improves decisions.” On the question of whether shipping has finally embraced a spend-to-save mentality, Kapoor is measured but optimistic. “The penny didn’t fall all at once – it’s sinking in with more reasoning,” he says. What is shifting is a recognition that the cost of not investing can exceed the cost of investing, particularly when fuel prices or sanctions exposure move quickly. He describes technology in this context as a “margin protector” – giving owners and charterers a clear view of exposure throughout the voyage, validating pre-fixture assump
‘Decision intelligence at speed is the breakthrough shipping needs’
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