Opportunity
Long Beach Unified School District PlanetBids #2526-017
RFI for Waste Services Optimization and Data Analytics Solutions at Long Beach Unified School District
Posted
June 03, 2026
Respond By
June 24, 2026
Identifier
2526-017
NAICS
541690, 541512, 562998
This opportunity is an information request from the Long Beach Unified School District (Purchasing & Contracts Branch) focused on optimizing waste management operations across its facilities. - Government Buyer: - Long Beach Unified School District, Purchasing & Contracts Branch - Products/Services Requested: - Waste sensor technology (ultrasonic, infrared, weight-based sensors) - Data analytics platforms for waste management - Service management tools for optimizing waste hauling and bin utilization - Alternative solutions such as reporting, route analytics, audits, or other service management tools that may not require physical sensors - Notable Requirements: - Solutions must address installation/removal of sensors on bins not owned by the District - Data ownership, exportability, and security are important - Integration with waste haulers is required - Environmental durability of equipment - The District operates about 95 locations with approximately 565 bins (trash, recycling, organics) of various sizes - No specific OEMs or vendors are mandated; the District is seeking broad market input - This is an RFI for information gathering only, not a commitment to purchase
Description
The Long Beach Unified School District is issuing a Request for Information (RFI) to gather information on waste sensor technology, data analytics, and waste service management solutions to optimize solid waste operations. The District seeks solutions that improve visibility into waste bin utilization, optimize pickup frequency and container sizing, reduce hauling costs, and support sustainability goals. The RFI is for information gathering only and does not constitute a solicitation or commitment to purchase. Respondents are requested to provide detailed information on their company, proposed solutions, sensor installation, data ownership, implementation, and references.