Customer Information Display (CID) System Procurement & Pilot Implementation

Active RFP 27-007 RFPTelecommunicationsLong Beach Transit
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At a glance

Long Beach Transit (California) posted this RFP on Oct 20, 2026. Responses are due Nov 16, 2026. Category: Telecommunications. Solicitation number RFP 27-007.

Solicitation details

General information

Solicitation number
RFP 27-007
Notice type
RFP
Place of performance
California

Agency and category

Agency
Long Beach Transit
Category
002Telecommunications
Source listing
Link after sign-up

About this listing

ProposalWorkspace summary

This bid was found on the agency's procurement portal. The portal's own text is not republished here; the summary below was written by ProposalWorkspace's AI from the bid documents. The full posting is on the portal - sign up free to get the link.

Summary

AI-read from the bid documents

Summary fields on this page were extracted by AI from the bid documents. Always verify dates, amounts and requirements against the official solicitation.

What the bid is for

Long Beach Transit (LBT) is seeking proposals from qualified vendors to provide a Customer Information Display (CID) system for potential fleet-wide deployment.

As part of this procurement, LBT will incorporate a structured pilot program within the RFP process. Selected vendor(s) will be required to install and demonstrate their CID solutions of two (2) screens per bus on up to 5 buses for evaluation under real-world operating conditions. (One (1) Articulated New Flyer CNG, One (1) 40’ Gillig CNG, One (1) Battery Electric 40’ BYD, One (1) Battery Electric 40’ New Flyer, One (1) Battery Electric 35’ New Flyer)

Scope

Selected vendor(s) will be required to install and demonstrate their CID solutions of two (2) screens per bus on up to 5 buses for evaluation under real-world operating conditions. (One (1) Articulated New Flyer CNG, One (1) 40’ Gillig CNG, One (1) Battery Electric 40’ BYD, One (1) Battery Electric 40’ New Flyer, One (1) Battery Electric 35’ New Flyer)

The objective is to identify the best overall solution based on performance, reliability, integration, maintainability, user experience, and cost-effectiveness.

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