The study case consisted on proposing three solutions for Synergy Logistics to improve their sales from their shipment information. The analysis was performed in Python with help of the Pandas, Matplotlib and Seaborn libraries.

The first section of the analysis consisted on transforming the data to dataframes and creating new dataframes by grouping data by imports, exports and the amount of times a route was performed.