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North Carolina City of Raleigh·North Carolina

SWS IN-CAB TECHNOLOGY

Closes 2/6/2026$500k – $2MRequest for Proposal
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Description

The City of Raleigh's Solid Waste Services (SWS) is seeking a qualified vendor to provide in-cab truck technology with varying features and enhancements for waste collection operations. The goal is to improve operational efficiency, regulatory compliance, customer service, and cost savings. The system should include automated photo- and/or sensor-based verification, turn-by-turn navigation, route progress tracking, digitized safety inspections, and AI-assisted features. The selected vendor will be responsible for implementing and maintaining the system. Key features of the system include: * Automated photo- and/or sensor-based verification * Turn-by-turn navigation and route progress tracking * Digitized safety inspections and incident reporting * AI-assisted features for contamination detection, cart verification, and customer service * Integration with existing City systems and GIS route data * Real-time monitoring and analytics for supervisors The City is seeking a modular system, and vendors can respond to one or more of the five functional components.

Attached files

Contact

Kathleen Mitchell(Supervisor, Business Services)

[email protected]

Key dates

Opened
1/5/2026
Questions due
1/23/2026
Closes
2/6/2026
Projected award
3/9/2026

Last updated

Details

Type
Request for Proposal
Industry
Information Technology and Software Development
NAICS
511210
Solicitation №
274-SWS01022026Cablink

Budget estimate

$500,000 – $2,000,000

The budget for this opportunity is difficult to estimate, as the RFP does not provide a specific budget or cost range. However, considering the scope of the project, which includes the development and implementation of in-cab truck technology for waste collection operations, the cost could be substantial. The City of Raleigh may allocate a significant budget for this project, potentially in the range of $500,000 to $2 million, depending on the complexity of the system and the number of vehicles involved.

AI estimate from the solicitation

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