Case Study: Stake Center Locating achieves faster, more accurate forecasting with OneStream Software

Revolutionizing Forecasting with Sensible Machine Learning

Stake Center Locating, a fast-growing underground utility locating company operating in 48 states, needed a better way to forecast ticket volumes and staffing needs amid varying state regulations, weather patterns, seasonality, and demand swings. Its finance team struggled to build accurate forecasts and plan headcount efficiently using traditional methods.

OneStream Software implemented SensibleAI Forecast to automate and improve short-term and rolling 12-month forecasting. The result was a 15–20% improvement in forecast accuracy, a forecasting process reduced from quarters to about 30 minutes, and millions of dollars in savings tied to better staffing and capital planning.

Stake Center Locating

David Kennedy

Chief Information Officer