Web Scraping Solution For Logistics Business

Client Overview

Our client is a cloud-based logistics management solution targeting businesses that ship goods, including manufacturers, retailers, and e-commerce companies. They were founded in 2018, and focus on cloud-based solutions with features like shipment tracking, automated alerts, contract rate management, and collaboration tools addressing the growing need for streamlined visibility and cost savings in freight transportation.

Industry

Logistics

Client Requirements

The client faced significant challenges in organizing their collected data. With data coming from various companies in different formats, checking its status was difficult. The inconsistent formats made storing and retrieving the data challenging.

Initially, their web application used ReactJS, NodeJS and MongoDB's .However limitations in scalability made it unable to handle large loads. When millions of data entries were loaded, the database struggled, leading to reduced web app performance and numerous user complaints.

To address these issues, the client required a solution to improve the web app's performance and scalability. They also requested a web scraping solution to automatically run in the background, mining data from dynamic sources and consolidating it on a single platform.