New Chain Fill feature: data matching and cleaning with AI
Lately, we have focused on a common problem: matching new data with existing data. This is essential for maintaining data quality and preventing duplicates.
We noticed it was a recurring problem: messy data. That’s why we tackled this issue quickly. On the platform, you can now easily upload your datasets, and duplicates are filtered to clean up the data. Every time a new order comes in, an AI model checks the current database, scores the entries, and matches the appropriate entry with the order’s data. This ensures that no duplicates enter the TMS.
The same principle can be applied to all variables! Very convenient, since many transport companies have their own naming conventions. For example, Company A calls a pallet “pal,” while Company B calls a pallet “pallet(s).” It’s essential that these are correctly matched because billing flows often depend on these names, and perhaps more importantly, planners associate specific names with dimensions.
All in all, we’re very pleased with this update—and so are our users. Step by step, we’re continuing to optimize the order process! And there’s more to come: keep an eye on us in the coming period, because it’s only going to get better!