Corporate Average Fuel Economy (CAFE) Database
Past New Requirement Updated
- Agency
-
Department of Transportation
- Solicitation expected
- Estimated value
- Not on record
- Set-aside
- No set-aside
Forecast facts
- Anticipated award
- Through
- NAICS code
- 541511 Custom Computer Programming Services
- Place of performance
- Washington, DC
- Forecast number
- 41919
- Points of contact
-
- Shalini Daswani shalini.daswani@dot.gov
Forecast details come from the GSA Acquisition Gateway. Agencies' dates and values are estimates.
About this forecast
The Department of Transportation is seeking a contractor to design, develop, and implement a modernized, cloud-native AWS application and secure web-based interface for the Corporate Average Fuel Economy (CAFE) Database. Key objectives include transitioning from manual Excel and email-based processes to a secure external data ingestion portal, automating regulatory workflows for 90-day reporting and credit planning, ensuring strict protection of Confidential Business Information, and expanding Business Intelligence reporting capabilities while leveraging AI/ML for data anomaly detection. The solicitation is estimated to release on April 10, 2026, with an anticipated award date of May 15, 2026.
The contract will support a one-year period of performance from May 15, 2026, through May 14, 2027, with an ultimate completion date of May 15, 2029, indicating potential for extended engagement or phased delivery. The contractor must maintain 99.9% system uptime through robust operations and maintenance, support Agile development methodologies with CI/CD capabilities, and obtain a full Authorization to Operate through annual security assessments. Work will be performed in Washington, DC, and inquiries should be directed to Shalini Daswani at shalini.daswani@dot.gov at the Department of Transportation.
Forecast text
The purpose of this contract is to provide a modernized, cloud-native (AWS) application and a secure web-based interface that streamlines the lifecycle of fuel economy data management. This effort eliminates manual, error-prone processes by providing high-integrity data analytical tools for NHTSA and public reporting via the Public Information Center (PIC).
The primary objectives are to obtain design, development, and implementation of the CAFE DB platform with the following anticipated outcomes:
- Modernize Data Ingestion: Transition from manual Excel and email-based processes to a secure, web-based external ingestion portal for OEM data submission.
- Automate Regulatory Workflows: Eliminate manual interventions for 90-day EOY Reporting, Credit Plans, and Credit Value Reporting.
- Ensure Data Integrity: Strictly segregate and protect Confidential Business Information (CBI) through a secure treatment request workflow and partitioned storage.
- Enhance Transparency: Expand Business Intelligence (BI) reporting and automated data extractions for the Public Information Center (PIC) portal.
- Intelligence Integration: Leverage AI/ML to identify data anomalies and improve the relevance of regulatory recommendations.
- Maintain High Availability: Ensure 99.9% uptime through robust Operations & Maintenance (O&M), including routine patching and incident mitigation within hours.
- Agile Engagement: Support Agile methods by providing continuous integration/continuous delivery (CI/CD) capabilities, sprints, and retrospectives.
- Continuous Security Oversight: Perform Annual Security Assessments and coordinate with the NHTSA Security Team to obtain and maintain a full Authorization to Operate (ATO) as required.
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