Optimizing Sales Strategy for RE-CUP

Innovate Landfill Solution Canada is seeking to enhance its sales strategy and revenue model for its innovative waste management solution, RE-CUP. The project aims to analyze current market trends and develop a comprehensive plan to optimize pricing, sales channels, and customer acquisition strategies. By leveraging classroom knowledge in business and sales, learners will focus on crafting a market-ready strategy that aligns with sustainable growth objectives. The project involves researching competitor strategies, identifying potential customer segments, and evaluating the effectiveness of current sales tactics. The ultimate goal is to refine the sales approach to increase market penetration and revenue generation for RE-CUP.

RE-CUP Initiative Digital Marketing and Event Coordination

Innovate Landfill Solution Canada is expanding its RE-CUP initiative at York University's Keele Campus, aiming to promote sustainable waste management through a 4 to 5-week event. The project involves setting up 15 stations across various campus buildings to encourage recycling and proper waste disposal. The goal is to increase awareness and participation among students and staff, leveraging digital marketing strategies and effective event coordination. Learners will apply their classroom knowledge in marketing and event management to create a cohesive campaign that engages the university community. The project will focus on developing promotional materials, coordinating logistics, and ensuring smooth operation of the event. - Develop a digital marketing strategy to promote the RE-CUP initiative. - Coordinate event logistics, including station setup and maintenance. - Engage with the university community to increase participation. - Monitor and report on the event's success and areas for improvement.

Re-Cup Station: MVP to Production Upgrade

MVP to Production Upgrade aims to transform our MVP prototype into a production-ready design. Interns will refine technical specifications, optimize material choices, and enhance structural durability through iterative prototyping and testing. They will conduct detailed design reviews, integrate user feedback, and develop comprehensive testing and performance reports. Key deliverables include updated design blueprints, validated prototypes, and a finalized production plan that meets industry standards, ensuring the station is robust, marketable, and ready for competitive launch.

Recycling Scanner System Development

The main goal for the project is to develop a comprehensive recycling scanner system powered by machine learning that accurately identifies and categorizes various types of plastics, including Multi-Layer Plastics (MLP) and other recyclable materials. The project aims to simplify and enhance recycling processes by providing instant, accurate recycling codes for different commercial products through image recognition, facilitating better sorting, recycling, and management of plastic waste, contributing to environmental sustainability efforts.