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  5. ›FQ 2026-27 Lead Service Line Inventory (LSLI) Predictive…

City of Ormond Beach - Purchasing Office·Florida

FQ 2026-27 Lead Service Line Inventory (LSLI) Predictive Modeling

Closes 5/29/2026$50k – $200kRequest for Quotation
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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. The work includes collecting and processing data, producing targeted locations for field inspections, and utilizing machine learning methods to process field inspection data. The contractor will also provide classification for all unknown service lines and further predictive modeling/statistical analysis until LCRI compliance has been met. Key aspects of the job include: • Predictive modeling and statistical analysis for LSLI • Data collection and processing • Targeted locations for field inspections • Machine learning methods for field inspection data • Classification for unknown service lines • Further predictive modeling/statistical analysis for LCRI compliance

Attached files

The solicitation documents live at the source — open the bid source above to download them.

Contact

Rob Hart(Purchasing Coordinator)

[email protected]

Key dates

Opened
5/12/2026
Questions due
5/18/2026
Closes
5/29/2026

Last updated

Details

Type
Request for Quotation
Industry
Environmental Services
NAICS
541620
Solicitation №
FQ-FQ 2026-27-0-2026/RH

Budget estimate

$50,000 – $200,000

The estimated budget for this opportunity is difficult to determine due to the lack of a specified budget. However, considering the scope of work, which includes predictive modeling, statistical analysis, and machine learning methods, the budget could range from $50,000 to $200,000. This estimate is based on the assumption that the work will require a team of experts with specialized skills and equipment. Factors that may influence the likely payment range include the complexity of the project, the number of personnel required, and the duration of the contract.

AI estimate from the solicitation

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