Opportunity
Ormond Beach Demandstar #FQ-FQ 2026-27-0-2026/RH
Predictive Modeling and Statistical Analysis Services for Lead Service Line Inventory (LSLI)
Posted
May 12, 2026
Respond By
May 30, 2026
Identifier
FQ-FQ 2026-27-0-2026/RH
NAICS
541690
This opportunity seeks advanced predictive modeling and statistical analysis services to support the City of Ormond Beach's Lead Service Line Inventory (LSLI) in compliance with the Safe Drinking Water Act. - Government Buyer: - City of Ormond Beach - Purchasing Office - Scope of Work: - Collect and process initial LSLI data - Generate targeted locations for field inspections (fieldwork performed by the City) - Update inspection locations as field results are completed - Apply machine learning methods to process inspection data - Classify all unknown service lines per EPA and Florida Department of Environmental Protection (FDEP) guidelines - Continue predictive modeling and statistical analysis until compliance with Lead and Copper Rule Improvements (LCRI) is achieved - Products/Services Requested: - Predictive modeling and statistical analysis for LSLI (1 project) - Unique/Notable Requirements: - Emphasis on advanced data analytics and machine learning - Strict adherence to EPA and FDEP regulatory guidelines - Ongoing support until full LCRI compliance - OEMs and Vendors: - No specific OEMs or vendors are named in the solicitation - Place of Performance: - Ormond Beach, Volusia County, Florida (City of Ormond Beach facilities)
Description
The City of Ormond Beach is seeking quotes to perform predictive modeling and statistical analysis for the Lead Service Line Inventory (LSLI) under the Safe Drinking Water Act, Title 40 Part 141.80. The work includes collecting and processing data from the initial LSLI, producing targeted locations for field inspections, updating locations based on field results, utilizing Machine Learning methods to process data, classifying unknown service lines per EPA and FDEP guidelines, and continuing predictive modeling until LCRI compliance is met. The deadline for questions is May 18, 2026, at 4:00 PM.