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Development of a Scalable Cargo Delivery Cost Estimation Platform
  1. case
  2. Development of a Scalable Cargo Delivery Cost Estimation Platform

Development of a Scalable Cargo Delivery Cost Estimation Platform

triare.net
Transport
Logistics

Identified Challenges in Freight Cost Calculation and Industry Transparency

The client faces significant inefficiencies and lack of transparency in calculating delivery costs for cargo across various regions. Currently, the process is manual, time-consuming, and susceptible to errors, leading to high operational costs and reduced customer trust. Brokers and intermediaries exploit this lack of clarity, affecting market fairness and competitiveness. The client needs an accurate, automated system capable of handling large data volumes and providing real-time, reliable freight estimates to users worldwide.

About the Client

A mid-sized logistics company aiming to optimize freight cost calculations and improve transparency for its clients across regions.

Goals for Enhancing Cargo Delivery Cost Estimation and Data Accuracy

  • Create a robust, high-load web platform to automate freight cost calculations for multiple regions and delivery points.
  • Integrate comprehensive geographic and logistical data, including distances between locations, to support accurate estimations.
  • Develop features for user profiles, company profiles, and advertising to enhance user engagement and platform monetization.
  • Implement analytics and statistic modules to monitor market trends and platform performance.
  • Ensure the platform can serve at least 200,000 monthly users with high reliability and responsiveness.

Core Functional Specifications for the Cargo Delivery Cost Calculator

  • A freight cost calculator that determines delivery prices based on distance, cargo specifics, and regional rates.
  • Database integration with public and proprietary datasets, including a database of distances between all regional locations.
  • Daily updates to prices, customer profiles, and regional data to maintain accuracy.
  • User registration and profile management, including company profiles and advertisement postings.
  • A platform for posting and viewing industry-related advertisements.
  • Analytics and statistics dashboard providing insights into market trends and platform usage.
  • Notification system to inform users of updates or new data relevant to their operations.

Recommended Technologies and Architectural Approaches

Backend: Ruby on Rails or equivalent high-performance web framework
Frontend: Angular.js or a modern SPA framework
Data Processing: Sidekiq for background processing, Redis for caching, MySQL for database management
Hosting: Cloud infrastructure supporting scalability and high load

Essential External System Integrations

  • Public geographic and logistical databases for distance and regional data
  • External APIs for real-time price updates and regional information
  • User authentication and profile management services

Performance, Security, and Scalability Requirements

  • Support for high load: platform must efficiently handle at least 200,000 users per month
  • Data accuracy with daily updates and verification mechanisms
  • System scalability to accommodate growing data and user base
  • High security standards to protect user data and proprietary information
  • Responsive design ensuring accessibility across devices

Projected Business Impact of the Cargo Cost Estimation System

The new platform is expected to significantly reduce manual calculation time, improve estimation accuracy, and increase transparency for users. By automating data processing and offering real-time insights, the platform aims to attract a large user base of at least 200,000 monthly users, leading to increased revenue streams through premium services and advertising. Enhanced data reliability and user engagement will position the client as a competitive and innovative leader in the logistics industry.

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