Developed a Freight Cost Optimization Model in Excel to compare freight costs across various carriers, transport modes, and routes. The model enabled decision-makers to identify the most cost-effective shipping options. It included route consolidation techniques to maximize transportation efficiency and reduce costs. Additionally, the model provided scenario analysis features to assess the potential savings of different logistics decisions, supporting better data-driven choices for optimizing freight costs.

Deliverables:

• Excel-based freight cost optimization model
• Cost comparison analysis across carriers, modes, and routes
• Scenario analysis report for cost-saving decisions
• Recommendations for route consolidation and efficiency improvements

Skills Used:

• Excel modeling and data analysis
• Freight and transportation cost management
• Scenario analysis and optimization techniques
• Logistics planning and decision-making
• Cost-benefit analysis

Key Features:

• Excel model for cost comparisons across transport modes: A flexible tool to compare costs for air, sea, and land transportation, helping businesses choose the best mode.
• Route consolidation to maximize efficiency: Strategies for grouping shipments to reduce empty miles and lower freight costs.
• Scenario analysis for cost-saving decisions: Ability to test different shipping routes, carriers, and modes to find the most cost-effective solution.