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Windiesel (windiesel.ai) — Route-aware, station-level diesel price panel observed through real purchasing: for each fuel stop window the platform resolves the two cheapest reachable stations along a driver's actual route and quotes the net card price a specific fleet would pay (shown against retail, e.g. a Joplin MO Pilot stop at a $3.41 net card rate versus roughly $3.81 retail), reconciled after the fact against telematics and fuel-card transaction data to confirm the fill actually happened. Accumulates 2.3M-plus gallons of analyzed real-world fuel purchasing behavior across 1.2 years, with…
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Route-aware, station-level diesel price panel observed through real purchasing: for each fuel stop window the platform resolves the two cheapest reachable stations along a driver's actual route and quotes the net card price a specific fleet would pay (shown against retail, e.g. a Joplin MO Pilot stop at a $3.41 net card rate versus roughly $3.81 retail), reconciled after the fact against telematics and fuel-card transaction data to confirm the fill actually happened. Accumulates 2.3M-plus gallons of analyzed real-world fuel purchasing behavior across 1.2 years, with detour-versus-savings tradeoffs and per-driver compliance verdicts.
From 1 yearsCoverage Industrials · Information TechnologyAsset class Equities · Commodities
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Windiesel (windiesel.ai) — Route-aware, station-level diesel price panel observed through real purchasing: for each fuel stop window the platform resolves the two cheapest reachable stations along a driver's actual route and quotes the net card price a specific fleet would pay (shown against retail, e.g. a Joplin MO Pilot stop at a $3.41 net card rate versus roughly $3.81 retail), reconciled after the fact against telematics and fuel-card transaction data to confirm the fill actually happened. Accumulates 2.3M-plus gallons of analyzed real-world fuel purchasing behavior across 1.2 years, with…
Windiesel offers (Price, Alternative, Supply Chain) — Stated directly: 2.3M-plus gallons analyzed over 1.2 years of real fleet data, implying roughly 20,000-25,000 verified fill transactions, each carrying station, price, card-net versus retail, route and compliance attributes - plus the larger candidate set of stations priced and rejected on every fuel decision window, which multiplies observed price points well beyond the fills themselves..
Training route-aware fuel procurement optimization models; building station-level card-discount and retail-price baselines; validating realized fuel savings in procurement programs; fuel fraud and off-plan purchase detection; driver behavior and compliance modeling; freight cost-to-serve and per-mile margin modeling; testing detour-value tradeoffs against station price spreads.
The data is with 1 years of history.
Coverage spans US; Trucking, Application Software; price, alternative, supply_chain; equities, commodities.
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