Transnet Freight Rail seeks a service provider to develop AI models for data analytics collaboration over three years. The project aims to enhance operational efficiency and predictive maintenance through advanced data analysis.
Transnet Freight Rail is inviting proposals for the appointment of a service provider to create and implement Artificial Intelligence (AI) models aimed at improving data analytics capabilities. This three-year collaboration will focus on developing predictive, prescriptive, and diagnostic analytics to enhance asset reliability and operational decision-making. The selected provider will work closely with a Gauteng-based academic institution or research organization, leveraging their expertise in AI and Machine Learning (ML) to analyze complex datasets generated from locomotive operations, maintenance records, and telemetry systems.
The scope of work includes data preparation, model development, and the creation of visual insights that support maintenance planning and operational optimization. Key functional domains will cover traction performance, braking systems, and energy management, among others. This initiative not only aims to drive innovation and skills development but also to establish a sustainable framework for long-term technology transformation within Transnet Freight Rail. By harnessing advanced AI capabilities, the project intends to provide actionable insights that will significantly improve the efficiency and reliability of rail operations.
This tender is suitable for academic institutions, research organizations, and technology firms with expertise in AI and data analytics, particularly those with experience in the transportation sector.