Fuel coupon management with AI inference: Case study of Petrotrade

Author

Kagande, Chiedza.

Title

Fuel coupon management with AI inference: Case study of Petrotrade

Abstract

This research demonstrates the design and implementation of a Fuel Coupon Management System with AI Inference, PetroTrade as a case study. Traditional methods are often prone to inadequacies, fraud, poor decision making and they do not promote real-time monitoring. To address these challenges, the propose system made use of artificial intelligence to validate and enhance fuel distribution. The integration of the Random Forest model has made the decision making process easier to the admins due to its simplicity. The system consists of a web-based interface for administrators and a mobile application for customers. Through iterative development and stakeholder involvement, the system was tested against real-world expectations, demonstrating significant improvements in data accuracy and efficiency. This study signifies the importance of AI-powered systems not only to PetroTrade but other sectors that will be facing the same challenges.

Date

June 2025

Publisher

BUSE

Keywords

AI Inference

Petrotrade

Fuel Coupon

Supervisor

Mr. G. Mhlanga,