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SaaS Platform for Optimized Forwarding and Logistics Management (Spedibot)

apptension.com

Logistics

Challenges in Efficient Load Planning and Route Optimization

Small and medium-sized forwarding firms face significant challenges in efficiently planning and adjusting vehicle routes. Currently, it takes human forwarders several hours to find the perfect load for a driver, minimizing mileage and aligning with company standards. This leads to increased operating time, higher costs, and potential environmental impact from unnecessary kilometers traveled.

About the Client

Companies involved in transporting goods, typically handling routes, load planning, and vehicle management. Often struggle with inefficient route optimization and load matching.

Project Objectives

Reduce the time spent on load planning by forwarding teams.
Minimize mileage traveled by drivers without a load.
Improve the efficiency of vehicle route planning.
Ensure mileage rates align with company standards.
Reduce operational costs associated with inefficient routing.
Promote environmentally responsible transportation practices.

Functional Requirements

Real-time cargo market data integration.
AI-powered load matching algorithm.
Google Maps integration for route planning and navigation.
Real-time vehicle tracking.
Automated notifications for truck arrivals.
Document management system.
Cargo sharing functionality for small shipments.
Cargo optimization for non-full truckloads.
Chat with live translation capabilities.
Vehicle fleet management dashboard.

Preferred Technologies

Django Admin panel

React SPA

Dijkstra Shortest Path Algorithm

Travelling Salesman Problem Algorithm

Google Maps API

Required Integrations

External cargo market APIs
Google Maps API

Key Non-Functional Requirements

Scalability to handle increasing volumes of cargo data and users.
High performance for real-time route calculations and data retrieval.
Robust security measures to protect sensitive data.
Reliable and stable platform uptime.

Estimated Business Impact

The successful implementation of this SaaS platform is expected to result in significant cost savings through reduced fuel consumption and operational expenses. Improved efficiency in load planning and route optimization will lead to increased revenue potential and a reduced environmental footprint. Enhanced visibility into vehicle fleet operations will improve overall business management.