Overview

eXPress Fleet revolutionizes vehicle transport in Australia with a nationwide network, real-time tracking, and secure storage. Their unique strength lies in personalized solutions tailored to individual needs and prioritizing safety. Simply request a quote, and Xpress Fleet will seamlessly handle the logistics, providing a stress-free experience for dealers, manufacturers, and individuals.

Technical Stack

  • Python
  • R
  • Scala
  • SQL
  • AWS
  • Industry

    Logistics & Transportation

  • region
  • Region

    Australia

  • project-size
  • Project Size

    Non- Disclosable

Highlights

Performance Analytics Dashboard

Cost Optimization Module

Historical Data Analysis

Weekly Weather Reports

Challenges & Solutions

The challenge was accurately predicting the harvesting season in various areas around the Rocky Mountains.

  • Solution: We conducted extensive data mining, collecting harvest data from state-level agriculture departments. Our data scientists utilized exploratory analysis to identify season-related order trends, enabling precise forecasting of seasonal produce. This empowers our client to optimize their fleet based on demand fluctuations.

Understanding the impacts of produce harvest and other seasonal factors on the types of trucks required for shipping.

  • Solution: Our data scientists built a comprehensive database, incorporating order volume data provided by the trucking company. They used the ARIMA time series model to predict future trends and order volumes accurately. This enables our client to allocate specific truck types strategically, ensuring timely deliveries during peak demand.

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12+

Years of Business
Experience

1458+

Happy
Customers

12+

Countries with
Happy Customers

1050+

Agile enabled
employees

Core Features

  • Extensive Data Mining Process
  • ARIMA Time Series Model
  • Open Weather API Integration
  • Real-Time Weather Updates
  • Fleet Optimization and Route Planning
  • Predictive Analytics Model
  • no.-of-resources
  • No. of Developers

    06

  • time-frame
  • Time Frame

    December 2021 - Ongoing

Experience With Bacancy

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