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  5. ›RFP No. 26-16 AI-Powered Student Attendance and…

San Bernardino City Unified School District·California

RFP No. 26-16 AI-Powered Student Attendance and Intervention Platform

Closes 10/28/2025$200k – $500kRequest for Proposal
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Description

The San Bernardino City Unified School District is seeking proposals for a comprehensive AI-powered attendance platform to automatically track, analyze, and manage student attendance. The platform should leverage data, automation, and predictive analytics to reduce chronic absenteeism, communicate faster with families, free staff from repetitive clerical work, and provide early interventions to support students at risk of falling behind. The proposal should include information on the company's qualifications, experience, and approach to providing the required services. Some key features of the platform include attendance automation and integration, analytics and early warning, and communications and case management. • Attendance automation and integration with existing systems • Real-time dashboards and analytics to track attendance and absenteeism • AI-generated risk scoring to flag students at risk of chronic absenteeism • Bi-directional communication with families in multiple languages • Case management system with intervention suggestions and tracking

Attached files

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

Contact

Lenore McCall(Purchasing Manager)

[email protected]

(909) 381-1129

Key dates

Opened
10/2/2025
Questions due
10/16/2025
Closes
10/28/2025
Projected award
12/1/2025
Duration
1 year

Last updated

Details

Type
Request for Proposal
Industry
Education
NAICS
541512
Solicitation №
RFP No. 26-16 AI-Powered Student Attendance and Intervention Platform

Budget estimate

$200,000 – $500,000

The budget for this contract is likely to be in the range of $200,000 to $500,000 per year, considering the scope of work and the size of the school district. The district has approximately 46,000 students, and the platform should be able to handle this volume. The cost will depend on the complexity of the platform, the level of customization required, and the vendor's pricing strategy.

AI estimate from the solicitation

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