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iRely — The most explicitly modeled propane/fuel consumption dataset in the vertical, held across a distributor installed base: per-tank capacity, reserve level, days-between-deliveries, last-gallons-in-tank, season-to-date AND prior-season gallons, and computed BURN RATES per consumption site; degree-day-driven delivery logic linking weather to consumption; bulk-plant, truck and on-hand inventory positions; daily Fill Reports (customers to visit with quantities by route); tank-level profitability and loss/variance; device/appliance-level equipment history with insurance and government-mandat…
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The most explicitly modeled propane/fuel consumption dataset in the vertical, held across a distributor installed base: per-tank capacity, reserve level, days-between-deliveries, last-gallons-in-tank, season-to-date AND prior-season gallons, and computed BURN RATES per consumption site; degree-day-driven delivery logic linking weather to consumption; bulk-plant, truck and on-hand inventory positions; daily Fill Reports (customers to visit with quantities by route); tank-level profitability and loss/variance; device/appliance-level equipment history with insurance and government-mandated events (tank painted, gas checks, leak checks); automated orders from the Tank Monitoring Interface; and fuel tax data assembly
From 25 yearsCoverage Information Technology · EnergyAsset class Equities · Commodities · Derivatives
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iRely — The most explicitly modeled propane/fuel consumption dataset in the vertical, held across a distributor installed base: per-tank capacity, reserve level, days-between-deliveries, last-gallons-in-tank, season-to-date AND prior-season gallons, and computed BURN RATES per consumption site; degree-day-driven delivery logic linking weather to consumption; bulk-plant, truck and on-hand inventory positions; daily Fill Reports (customers to visit with quantities by route); tank-level profitability and loss/variance; device/appliance-level equipment history with insurance and government-mandat…
iRely offers (Alternative, Price, Supply Chain, Geospatial, Fundamental) — Est. 100M-1B sales-ticket line items with tank-level usage history auto-populated from those tickets, plus multi-season (multi-year) burn-rate series per monitored tank across the installed base — plausibly tens of millions of tank-season observations (inferred from the product's stated season-to-date vs last-season tracking and enterprise installed base).
Weather-elasticity models for residential and agricultural heating demand (burn rate vs degree days is exactly this pairing); propane demand nowcasting and run-out/shortage early warning by region; LPG volume signals for energy traders and distributors; rural carbon-transition and heat-pump displacement measurement from season-over-season propane decline; tank-asset profitability and circular-economy benchmarks; compliance/defect taxonomies for safety regulators and insurers; RL and supervised benchmark data for fill-planning and route optimization; fuel-tax and excise modeling
The data is with 25 years of history.
Coverage spans US, Other; Application Software, Oil & Gas Refining & Marketing; alternative, price, supply_chain, geospatial, fundamental; equities, commodities, derivatives.
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