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Data Analysis and Engineering for Route Optimization
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Client
Data Science for Route Optimization How a global leader in the logistics industry achieved an ROI of R$ 4 million per year with a data science solution
About the Company
A global leader in the logistics sector, the company specializes in international delivery, courier services, and transportation. Currently, it has an international team of 380,000 delivery professionals, serves over 220 countries and territories, and delivers 1,818,000,000 packages per year.
  • Size: Large
  • Logistics
  • Registration: Brazil
  • Solution: Data Analysis and Engineering for Route Optimization
Challenge

Faced with significantly high demand, the company faced the challenge of instant and continuous monitoring of the delivery process, seeking to acquire relevant information that could be used to improve operational efficiency, reduce costs, and increase the overall profitability of the operation.

Solution
Through a team of specialists, we consolidate data in a Big Data environment. Thus, we develop a robust Data Science solution using advanced Artificial Intelligence and Machine Learning techniques. The main objective of this project was to effectively optimize the routes involved in the logistics process, aiming to improve operational efficiency. Furthermore, we sought to create a segmented Score query, providing a more detailed analysis for more strategic decision-making. By combining the solution with real-time monitoring, it was possible to:
  • Monitor as Loads (GPS);
  • Profile The ideal driver for each trip;
  • Choose the best route and the ideal vehicle;
  • Define revenue by mileage;
  • Choose the best customer.
Results
  • Estimated ROI: R$ 4 Million / Year
  • Increased Predictability;
  • Best Time to Sell;
  • Best Match (Truck, Client, and Driver).