Case Study: Freightos achieves 20× faster insights and minutes-long analyses with MathWorks' MATLAB

Freightos Performs Big Data Analytics for Online Freight Logistics with MATLAB and Google BigQuery

Freightos, an online freight marketplace and SaaS provider managing millions of rows of shipping and contract data in Google BigQuery, faced a challenge getting near-real-time, interactive analytics from large, distributed datasets without downloading entire databases or overloading tools like Excel. To extract operational and marketing insights from messy, fast-changing route and pricing data, Freightos turned to MathWorks and its MATLAB platform (including Statistics and Machine Learning Toolbox and MathWorks Consulting Services) for big data analytics and visualization.

MathWorks consultants integrated MATLAB with Google BigQuery by exporting query results to Google Cloud Storage for import into MATLAB, adding data‑cleaning scripts and using Statistics and Machine Learning Toolbox for advanced analytics and visualizations. The MathWorks solution cut analysis time dramatically—large reports that once took a day now run in about 10 minutes, freed roughly one workday per month for the data team, and delivered a 20× improvement in time-to-insight, while enabling dynamic pricing indexes and future machine‑learning forecasts.

Freightos

Eytan Buchman

Marketing Manager