DansFarmaRoot aims to enhance the efficiency and reliability of its supply chain through the application of AI algorithms. The current supply chain faces challenges such as fluctuating supplier performance, inconsistent logistics, and suboptimal inventory levels. These issues lead to increased costs, higher risks, and inefficiencies. The goal of this project is to analyze supply chain data using AI to identify opportunities for cost savings, risk mitigation, and process improvements. By leveraging AI, the project seeks to create a more responsive and resilient supply chain that can adapt to changing conditions and demands. The project will involve tasks such as data collection, algorithm development, and performance evaluation to ensure that the supply chain operates at peak efficiency.

- A comprehensive report detailing the analysis of supply chain data, including supplier performance, logistics, and inventory levels.

- Development and implementation of AI algorithms to identify cost-saving opportunities, risk mitigation strategies, and process improvements.

- A presentation summarizing the findings, methodologies, and recommendations for enhancing supply chain efficiency and reliability.

- A prototype or simulation demonstrating the application of AI in optimizing the supply chain processes.

At DansFarmaRoot, we are committed to providing comprehensive support and mentorship to our co-op students. Our team will allocate dedicated staff time to guide and mentor students, ensuring they receive personalized assistance throughout their projects. Students will have access to advanced tools and technology, including our AI-driven infrastructure, to enhance their learning experience. Additionally, they will have access to real-time data and analytics, enabling them to make data-driven decisions and gain practical insights. Regular feedback sessions, workshops, and training programs will further support their development, ensuring they successfully complete their projects and gain valuable industry experience.