DansFarmaRoot aims to enhance its customer shopping experience and drive sales by integrating an AI recommendation engine into its e-commerce platform. The goal is to provide personalized product suggestions based on individual customer preferences, browsing history, and purchase behavior. This project will involve analyzing customer data to identify patterns and preferences, developing an AI model to generate recommendations, and integrating this model into the existing e-commerce system. The expected outcome is an increase in conversion rates and customer satisfaction, as customers will receive more relevant product suggestions tailored to their unique tastes and needs.

- A detailed report on customer data analysis, highlighting key patterns and preferences.

- A functional AI recommendation engine capable of generating personalized product suggestions.

- Integration of the AI recommendation engine into the existing e-commerce platform.

- A final presentation demonstrating the AI model's effectiveness in enhancing customer experience and driving sales.

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.