Our Work
01
Vehicle Route Optimization
Working with Coppel, a delivery-focused organization, we developed a custom program using Python to optimize truck routes. Our solution took into account the capacity of the trucks, the hours of the workers and the delivery times, guaranteeing efficient and profitable deliveries, thus improving efficiency by 2%.
02
Air Pollution Prediction
In collaboration with SIMA, a government agency focused on air quality, we carried out two projects. First, we analyze the correlation between air pollution and local activities. Secondly, we used machine learning and Python to predict air quality in Monterrey over a one-week period, which helped in proactively managing pollution by 86%.
03
Revenue Prediction
We helped Cengage in predicting revenue fluctuations caused by the COVID-19 pandemic. Leveraging machine learning and Python, we built a model to estimate sales and revenue, enabling data-driven decision making to adapt to changing market conditions with 87% accuracy.