I need help for normalizing product feeds from multiple e-shops to identify unique product models. Can somebody help with this topic?
Thanks
Catalin
Solved! Go to Solution.
Can you go deeper into what you mean by "normalizing product feeds" with examples & data as well?
Here is some sample of the feed for Tablete category. I want to be able to identify tablet model no matter how it is named in each shop (Apple iPad Air 3 (2019), Tableta Apple iPad Air 3 (2019), iPad Air 3 (2019)) and no matter which are it secondary caracteristics (color, memory, screen size, etc). THis model should be filled in column A
Looks like a case for the Fuzzy Match Tool! Check out this Tool Mastery article: Tool Mastery | Fuzzy Match correspondance partielle fuzzyübereinstimmung
In this case you'd use the Purge mode, and likely just use "title" as your column to fuzzy match
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