GigEfx Labs is seeking to enhance its transportation solutions by optimizing routing and scheduling methods. The goal is to integrate these improvements with their existing shopping intelligence app, thereby increasing efficiency and reducing operational costs. The project involves analyzing current dispatch methods, identifying inefficiencies, and proposing optimized solutions. Learners will apply their knowledge of algorithms, data analysis, and software development to create a prototype that demonstrates improved routing and scheduling. The project will focus on developing a user-friendly interface that seamlessly integrates with the app, ensuring that the solution is practical and easy to implement. By the end of the project, learners will have gained hands-on experience in transportation logistics and app integration.

The project deliverables include a comprehensive report detailing the analysis of current dispatch methods and proposed optimizations. Additionally, learners will develop a prototype of the optimized routing and scheduling system, complete with a user-friendly interface. The final deliverable will be a presentation demonstrating the integration of the prototype with the shopping intelligence app, showcasing the potential improvements in efficiency and cost reduction.