Once your file is uploaded, WeTransform's AI does something that usually takes hours manually: it figures out which of your columns corresponds to which column in your target format — automatically.
This is the Match step.
🔗 How it works
The Match screen shows two columns side by side:
On the left: your source columns (from the file you uploaded)
On the right: your target format columns (what you need in the output)
The AI draws links between them automatically. Each matched pair is shown with a green checkmark and an arrow connecting source to target.
🤖 The AI matches by meaning, not by name. "Code Article" → "Code produit", "Quantité Cartons" → "Nombre d'unités", "Dlc" → "DLC" — even when column names look completely different, WeTransform understands the intent and makes the right connection.
✏️ Reviewing and adjusting matches
You're always in control. Before moving on, you can:
Change a match — click the target column dropdown and select a different one
Remove a match — click the ✕ next to a matched pair to unlink it
Add a missing match — columns excluded from matching appear at the bottom; click to add them back
💡 Columns marked with * are required. Your target format has mandatory columns — make sure these are matched before continuing. WeTransform highlights them in bold.
🔢 What about the values inside the columns?
Column matching connects the structure of your files. But sometimes the values inside a column also need to be translated — for example, your supplier uses "CAMERA_OTHER_ACCESSORIES" but your target format expects "Cameras & Accessories".
This is handled separately, at the Finalize step, with the Match values option. You can also check and do your matches directly from the Match screen by clicking "Match values" in the bottom left.
⚙️ Adding rules from the Match screen
You can also access the Rules panel directly from the Match screen — no need to wait until Finalize. Click "Rules" at the bottom to open the rules editor and add transformations before reviewing your data.
👉 What to do next
🔢 Match value lists with AI — translate values between two nomenclatures