python code used to match between two different data of the same items that have different names

Smart Matching leads to Less Manual Work

When working with product lists from multiple suppliers, it's nearly impossible to get 100% accurate matches due to differences in naming, packaging formats, or typos.

But with a bit of smart feature extraction (subtype, size, form) and a simple merge on custom keys, you can:

Match 60–80% of items automatically

Reduce manual cleaning time drastically

Here's the idea in code:

merge_key = subtype + '|' + form + '|' + size

Then we match across datasets using this key.

It won’t catch everything — but it gets you most of the way there, fast.

Perfect for pricing analysis, supplier comparison, and inventory alignment.

Clean enough to act. Precise enough to scale.