The project focuses on identifying critical inefficiencies in automotive product development and digital tool limitations for OEMs and tier 1 suppliers. It aims to develop compelling business cases that demonstrate how AI can effectively address these challenges, while also highlighting potential white spaces where these technologies can be applied to drive innovation and efficiency in the industry.

Evaluate the current method used to research inventory record defect rates (IRDR) and recommend a new research method.

Develop a Social Responsibility Pre-Qualification Tool for new Amazon suppliers.

Develop a business case for improvement of an identified operations process.

Design a scalable process by which transportation providers can register to deliver packages

Recommend mechanisms to prevent and automatically resolve fulfillment process defects to improve efficiency and customer experience across the North American network.

Supply Chain Management: developing and optimizing mitigation strategies for insurance clients.

Formulate go-to-market strategy for the Kasi system: a multi-sensory augmented reality method to help blind/low-vision individuals access STEM content.

Advise AOF on best-in-class campaign strategies. Recommendations will focus on campaigning and engagement sustained by financial service companies, but also include 'wow' experiences created by other industries.

Conduct market research and technology sourcing exercise for new HVAC technologies applicable to warehouse building types

Formulate a strategy to address the nutritional needs of unserved or underserved patients with growing medical concerns/diseases.

Provide a complete business plan for entrepreneurship education, training, and development in the state of Tamil Nadu, India.