What problems is WeTransform solving and how is that benefiting you?
We handle around 250 freight rate files per month, coming from multiple carriers and offices all around the world.
The main challenge has been the accumulation of small (and sometimes big) differences between these files. Each carrier provides similar data, but with slight variations in structure, naming, or organization—basically, format multiplication. Over time, this created a significant operational burden. The risk is also somewhat hidden: when an output file has too many lines, it’s extremely hard for a human to proactively cross-check everything, but a single mistake can still lead to major commercial penalties if the data is wrong.
Before using WeTransform, a team of four people manually reviewed and prepared each file before it could be imported into our system. This meant aligning fields, adapting formats, and ensuring consistency across inputs, largely based on each person’s individual expertise and experience.
With WeTransform, we can now define how each type of input should be handled, and the platform applies these rules automatically to incoming files. This not only speeds up the transformation work, but also helps operators become more advanced data analysts by understanding the core logic behind the process.
As a result, manual processing has been drastically reduced, large volumes can be handled much faster, and data is consistently standardized across all carriers. It has allowed us to scale our data import process without increasing operational workload, making the entire workflow more reliable. Overall, the risk of managing so many jobs has decreased, and it’s helping us shift toward being a more digital player in the area. Review collected by and hosted on G2.com.
