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Corporate Average Fuel Economy Management Suite Database System

Overview


Data Analytics, AI & Cloud Hosting
Washington, District of Columbia, United StatesPosted 2 months agoDeadline: March 16th, 2026

Fit Score


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SUMMARY


Seeking a modern, cloud-based database system for managing corporate average fuel economy data, integrating secure data ingestion, AI/ML analytics, and robust information protection.

DESCRIPTION


The organization seeks a vendor to provide a corporate average fuel economy (CAFE) management suite database system. The project involves developing a modernized, cloud-native (AWS) application featuring a secure web-based interface that streamlines the entire lifecycle of fuel economy data management.

This initiative aims to eliminate manual, error-prone processes by deploying high-integrity data analytical tools. It will modernize data ingestion by transitioning from manual Excel and email-based processes to a secure web-based external portal for OEM data submission.

A key requirement is the strict segregation and protection of confidential business information (CBI) through a secure treatment request workflow and partitioned storage. The system should integrate artificial intelligence and machine learning to identify data anomalies and enhance regulatory recommendations.

Source attribution

This Settle analysis is based on the issuing organization’s public RFP listing.

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