About the Project
Agricultural logistics often relies on manual planning when assigning trucks, arranging cargo, and determining delivery routes. These manual processes frequently result in underutilized truck capacity, unnecessary transportation costs, and inefficient delivery schedules, especially when handling multiple pickup requests from different warehouses.
AgriLoad is an intelligent transportation planning platform built to streamline this process. Warehouse users submit pickup requests containing harvest information such as commodity type, quantity, dimensions, weight, pickup date, and required arrival date. Logistics managers can then generate a complete transportation plan that automatically allocates available vehicles, optimizes truck loading layouts, and computes efficient delivery routes using real map data.
By combining space optimization and route optimization into a single planning workflow, AgriLoad helps maximize truck utilization, reduce empty cargo space, minimize travel distance, and improve overall operational efficiency for agricultural transportation.
Built With
- firebase
- firestore
- leaflet.js
- next.js
- openstreetmap
- react
- three.js
- typescript
- zod
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