Opportunity
Ormond Beach Demandstar #FQ 2026-27
Ormond Beach Solicits Predictive Modeling Services for Lead Service Line Inventory Compliance
Posted
May 12, 2026
Respond By
May 22, 2026
Identifier
FQ 2026-27
NAICS
541690, 541330, 541620
The City of Ormond Beach is seeking a vendor to provide predictive modeling and statistical analysis services for its Lead Service Line Inventory (LSLI) to comply with the Safe Drinking Water Act and Lead and Copper Rule Improvements (LCRI). - Government Buyer: - City of Ormond Beach Purchasing Office - Services Requested: - Predictive modeling and statistical analysis for LSLI - Collection and processing of initial LSLI data - Generation and updating of targeted field inspection locations (field inspections performed by the City) - Application of machine learning to inspection data - Classification of unknown service lines per EPA and Florida Department of Environmental Protection (FDEP) guidelines - Ongoing analysis and modeling until LCRI compliance is achieved - Notable Vendors (potential competitors): - BlueConduit - H2M Architects & Engineers - JBrown Professional Group - Kimley-Horn and Associates - Sensible Water Solutions - The Next Wave Plumbing - Unique/Notable Requirements: - Emphasis on machine learning and advanced statistical methods - Compliance with both EPA and FDEP standards - Service-based solicitation with no specified product part numbers or purchase quantities - Project Location: - Volusia County, Florida - Managed via the DemandStar platform
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 these locations based on field results, utilizing Machine Learning methods to process inspection data, classifying unknown service lines per EPA and FDEP guidelines, and continuing predictive modeling until LCRI compliance is achieved. The deadline for questions is May 18, 2026 at 4:00 PM.