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A2i Systems (A2i by OPIS, a Dow Jones company) — Fuel-retail demand-response dataset assembled inside the pricing engine: historical POS transaction history and consumer behaviour patterns per station, the model's optimal-price recommendations with real-time market alignment, competitor price movements, and the joined external factor set the model actually consumes (weather, local events, time of day, global incidents) — plus the learned elasticity patterns from each price decision and its observed demand outcome. Small operating unit inside a large group: ~11 employees, Copenhagen HQ (Intern…
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Fuel-retail demand-response dataset assembled inside the pricing engine: historical POS transaction history and consumer behaviour patterns per station, the model's optimal-price recommendations with real-time market alignment, competitor price movements, and the joined external factor set the model actually consumes (weather, local events, time of day, global incidents) — plus the learned elasticity patterns from each price decision and its observed demand outcome
From 15 yearsCoverage Energy · FinancialsAsset class Commodities · Equities · Derivatives
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A2i Systems (A2i by OPIS, a Dow Jones company) — Fuel-retail demand-response dataset assembled inside the pricing engine: historical POS transaction history and consumer behaviour patterns per station, the model's optimal-price recommendations with real-time market alignment, competitor price movements, and the joined external factor set the model actually consumes (weather, local events, time of day, global incidents) — plus the learned elasticity patterns from each price decision and its observed demand outcome. Small operating unit inside a large group: ~11 employees, Copenhagen HQ (Intern…
A2isystems offers (Alternative, Price, Consumer, Supply Chain) — Order 10^7-10^9 transaction records over the archive (est.: hundreds to a few thousand stations × thousands of fuel transactions per station per day × multi-year POS history retained for model training).
Fuel demand forecasting and dynamic-pricing model training; weather/event-conditioned demand modelling for retail energy; human-override preference data for AI-assisted decision tools (where operators reject model recommendations is valuable preference signal for governed AI); hyperlocal mobility and economic-activity nowcasting from station-level volume; European fuel price inflation panels
The data is with 15 years of history.
Coverage spans US, Europe; Oil & Gas Refining and Marketing, Financial Exchanges & Data; alternative, price, consumer, supply_chain; commodities, equities, derivatives.
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