Case Study: Goshen achieves non-lead inventory classification with BlueConduit predictive modeling

Goshen cuts lead-service-line unknowns by 90% with BlueConduit

The city of Goshen faced a significant challenge in classifying its remaining water service lines of unknown material after exhausting traditional identification methods. With nearly 4,700 unknowns, the city sought a solution to avoid a costly $3 million excavation project and turned to predictive modeling from BlueConduit, utilizing its LSL Predictions platform.

By implementing BlueConduit's predictive modeling solution, Goshen was able to statistically analyze its system and classify all remaining unknowns as non-lead with a very high degree of certainty. This result allowed the city to officially designate its entire system as non-lead, achieving compliance and saving nearly 90% on identification costs. The solution from BlueConduit eliminated the city's ongoing replacement requirements and positioned it to focus on other infrastructure projects.

Goshen