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City of Clermont·Florida

Cloud Based Location Intelligence Foot Traffic Data Platform

Closes 11/12/2026$150k – $500kRequest for Proposal
Get bids like this by emailBid source

Description

The City of Clermont is seeking a qualified vendor to deliver a cloud‑based location‑intelligence and foot‑traffic analytics platform for its parks, trails, facilities and open spaces. The solution must capture historic and real‑time visitor counts, origins, dwell times, and provide benchmarking, all via secure, anonymized data. The contract includes platform access, implementation, training, ongoing support, and optional API integration, with an initial one‑year term and up to four one‑year renewals. • Provide geofenced data collection for designated city locations • Deliver daily, weekly, monthly, annual and at least three years of historical visitation data • Offer unique and repeat visitor metrics, origin analysis, dwell time, and benchmarking tools • Supply user‑friendly dashboards, map visualizations, export formats (CSV, Excel, PDF, PNG) and optional API • Ensure data privacy, anonymization, and compliance with local, state, and federal regulations • Include initial setup, configuration, training, documentation, and 24/7 technical support • Offer subscription licensing with clear user/license limits and renewal pricing.

Attached files

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

Contact

Brian Forman(Procurement Services Director)

[email protected]

(352) 708-5999

Key dates

Opened
9/10/2026
Questions due
11/4/2026
Closes
11/12/2026
Duration
1 year

Last updated

Details

Type
Request for Proposal
Industry
Information Technology and Software Development
NAICS
541512
Solicitation №
RFP 27-002

Budget estimate

$150,000 – $500,000

The solicitation does not disclose a budget. Based on comparable municipal SaaS analytics contracts, a one‑year subscription with implementation, training, and support for a mid‑size city typically ranges from $150,000 to $500,000, depending on data volume, number of user licenses, and optional API integrations. Factors influencing the final price include the number of geofenced locations, historical data depth, level of custom reporting, and renewal pricing terms.

AI estimate from the solicitation

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