About the Project
Designed and developed a scalable optimization API to automate and streamline freight loading processes. By translating complex physical constraints into algorithmic rules, the system ensures maximum volumetric efficiency while strictly adhering to safety and routing requirements.
Key Technical Features:
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Route-Optimized Loading (LIFO): Implemented advanced spatial grouping algorithms that sequence packages based on multi-stop delivery routes, ensuring items are accessible upon arrival without needing to unload unrelated freight.
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Algorithmic Weight Distribution: Engineered a balancing logic that strategically distributes weight across the vehicle’s X and Y axes, preventing lateral imbalance and maintaining an optimal center of gravity during transit.
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Smart Structural Stacking: Developed a robust evaluation system that analyzes package dimensions, weight-bearing limits (3x ratio), and base-support requirements (50% minimum) to prevent damage and ensure load stability.
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Custom Fleet Geometries: Built dynamic constraints to accommodate unique vehicle structures, such as overhead cab extensions, maximizing every available cubic centimeter.
Tech Stack: Python, Flask, Waitress (WSGI), RESTful Architecture.
