Commercial performance
Turn operational signals into better commercial decisions. Combine market data, weather, asset status, and contracts into AI-enabled decision support, so trading, chartering, routing, and portfolio decisions get faster, sharper, and more profitable.
How it works
From fragmented data to a shared commercial decision layer
Operational, market, weather, contractual, and asset performance data is integrated and contextualized in a common decision layer. Forecasting and optimization models then identify risks, opportunities, and likely commercial outcomes across production, trading, routing, utilization, bidding, and portfolio scenarios.
Decision dashboards, simulations, and AI co-pilots present recommendations in a form that commercial teams can trust, challenge, and act on. Outcomes are captured and reused, so models, workflows, and organizational knowledge continuously improve.
Scenarios
Three ways customers realize value
Renewable production and imbalance forecasting
Wind, solar, and hybrid operators combine weather, SCADA, availability, curtailment, and market prices into one forecasting workflow. Traders see expected deviations and imbalance exposure before gate closure, reducing imbalance costs and lifting trading confidence.
Vessel utilisation and chartering optimisation
Ocean operators combine vessel availability, AIS data, fuel, weather, port schedules, and rates. Optimization models compare options, accept a charter, reposition, delay, reroute, so commercial planners pick the best balance of revenue, cost, and contractual commitments.
Portfolio-wide commercial decision support
Scaled operators get a shared intelligence layer across operational, market, financial, and contractual data. Teams monitor risk, simulate scenarios, and document rationale, scaling decision-making without scaling headcount.
Proven in production
Antire helped INGKA Renewable Energy Investments replace a high-latency, self-maintained data integration setup with the Asset Insights Portal, reducing wind turbine data latency from hours to minutes and giving both trading and asset teams real-time insight across assets.
Antire helped one of Norway’s largest energy companies develop an AI-powered decision-support platform that predicts power market imbalances, combines machine learning with flow-based power system modelling, and enables traders to make faster, better-informed decisions in the Nordic balance market.
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Why now
Markets are more volatile, decision windows are shorter
Energy and ocean markets are becoming more volatile, competitive, regulated, and data-intensive with shorter decision windows and growing exposure to weather, fuel, grid, logistics, and market risk. Spreadsheet-based workflows and siloed decision support no longer keep up.
Advances in AI, forecasting, optimization, and real-time data platforms now make it possible to combine market intelligence, operational data, and human expertise into faster, more scalable commercial decision support, turning operational insight into portfolio profitability.
Proof of Value sprint
Prove commercial value in one workflow in 4–8 weeks.
Bring one focused use case such as imbalance forecasting, chartering optimization, or a portfolio decision cockpit.
We integrate selected operational and market data, evaluate forecast models, build an initial decision view, and exit with a prioritized roadmap and business case.