Cargasenergy

Cargas Energy (Cargas Systems, Inc.) — A cloud-based propane, heating-oil and HVAC operating record across the dealer tenant base: delivery tickets with gallons delivered per stop per customer per date and the price applied; exact remote tank-level telemetry from an integrated tank-monitor partner showing real fill percentage before and after a fill; dispatch and route records with stops per driver-day, miles, and driver time saved; dealer price updates as they are posted; cylinder-exchange and cylinder-fill transactions; wholesale fuel delivery and load records; HVAC service work orders with…

Cargasenergy offers (Alternative, Supply Chain, Price, Geospatial, Consumer) — Substantial and centralised: order of tens of millions of delivery-ticket records across the tenant base (an illustrative dealer at nearly 6,000 customers making multiple fills per season generates roughly 15-40k stops per year, multiplied across low-hundreds tenants since the platform's cloud launch), plus a high-frequency tank-level telemetry stream for monitored tanks that dwarfs the ticket count, plus service work orders, cylinder transactions, payments and price-change history.

Household energy consumption ground truth — tank level plus tank capacity plus gallons delivered yields actual propane demand per home with a true denominator, the closest available proxy for residential energy demand in non-piped areas and a missing input for electrification and heat-pump substitution studies; demand-forecasting model training on real fill cycles, including the fuel-usage-prediction feature the platform already ships; last-mile route optimisation and gallons-per-mile benchmarking across many dealers; delivered-price pass-through and repricing-cadence analysis from timestamped dealer price updates; agricultural and commercial propane demand as a proxy for food production and industrial activity, since propane is the main non-piped fuel for farms and drying; propane demand nowcasting and basis work for refiners and distributors; churn and loyalty modelling in a category with historically locked-in customers; HVAC equipment-failure and replacement-cycle datasets for manufacturers and insurers