The project aims to analyze and optimize the logistics of supply chain movement for Quote Control, a company specializing in supply chain optimization. The primary goal is to identify all modes of transportation, including air, sea, rail, and road, and categorize various types of cargo such as perishable goods, hazardous materials, and bulk commodities. The project will involve matching the most efficient and cost-effective transportation modes to the appropriate types of cargo. This analysis will require a deep dive into big data to consider the variables that balance effectiveness and efficiency. Additionally, the project will identify gaps in service to provide a comprehensive overview of the current logistics landscape.

- A detailed report categorizing various types of cargo and identifying all modes of transportation.

- An analysis matching the most efficient and cost-effective transportation modes to the appropriate types of cargo.

- A data-driven identification of gaps in service within the current logistics framework.

- Recommendations for optimizing supply chain logistics based on the findings.

Learners will have access to QC Staff and any tools they require but do not have alternate access to in order to complete the project. Data will need to be publicly sourced.