SparkBeyond
4 Case Studies
A SparkBeyond Case Study
Global Mining Company was looking to reduce operating costs by cutting fuel consumption across its fleet, especially as fuel accounted for about 30% of total operating costs. After earlier analytics efforts failed to produce actionable results, the company needed tangible, quantified insights that could drive real operational improvement.
SparkBeyond used its Discovery root-cause analysis platform to combine internal and external data sources such as tire pressure, refueling records, fuel and oil quality, road conditions, and gradient data, creating a digital twin of each vehicle. SparkBeyond identified 300 predictors of fuel consumption and delivered actionable recommendations within an hour, helping Global Mining Company reduce fuel use by 10% in four months, lower variable costs by 3%, and cut consumption by around 20K liters per day.
Global Mining Company