Corporate Average Fuel Economy Management Suite Database System
Location:
Washington, District of Columbia, United States
Posted on:
Deadline:
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.
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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.
Best-fit vendors:
• Proven experience in developing cloud-native (AWS) database applications
• Expertise in secure web-based data management and ingestion portals
• Strong capabilities in AI/ML integration for data analytics
• Prior work with confidential business information protection and regulatory data
• Track record of serving government or automotive industry clients
