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Classifying unknown service line materials as Lead or Non-Lead with predictive modeling

Keeping service lines classified as “unknown” materials in your inventory increases LCRI compliance requirements and can create serious challenges for LSL replacement planning and customer trust.

This webinar will focus on how water systems and engineering firms can use predictive modeling to classify service lines with unknown materials in their inventory quickly, with high accuracy and minimal digging.

During the webinar, BlueConduit experts will talk through the process and tools needed to classify service line materials based on statistical models. Then, leaders from Des Moines, IA will talk about how they used predictive modeling to reduce their unknowns by more than 70%.

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Testimonials
 “There were a few options when we embarked on this, but only BlueConduit was able to prove that their method worked and published it. That was big for us.  But it was also working with them that was just better. They were very upfront about cost and what to expect. We didn’t always feel that way with the other companies that we did trials with.”

Michelle Smith

Director of Water Quality for the South Bend Utilities | South Bend, IN