AI Bulk Category Assignment: Tutorial
Transcript
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Categories are super important inside of the discoverability of your app and it's the key that everything feeds off of.
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For example, meta fields get assigned to categories. So, it's important to assign categories for all of your products. And
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here you can see in this example store I'm looking at, we've only got two of 11 products with a category assigned. So,
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we need to finish out the rest of those categories being assigned. Now, we can go in to the products and manually start
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assigning the categories. For example, I think this category might be women's tops. So, let's just see if we can find a women's tops category. Type it in.
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There's women's underpants.
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Maybe it's not called tops under shirts. Maybe it's not.
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See how you're trying to find the right category and it can be hard in this because there's 10,000 nodes in here that it's looking for. Um, and if you
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don't get the right words, it's not going to find the right one for you. So maybe it's apparel
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and then top.
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So it becomes frustrating to find the right categories. And sometimes Shopify and their AI tool called Magic will
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recommend a category for you. But as you can see here, sometimes it doesn't.
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Sometimes that category is accurate and sometimes it's not. And when you go tohead to accept their recommendations, because many times they are accurate.
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When you go ahead to accept it, you have to go in one at a time and say accept.
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There's no bulk accept in the Shopify admin for their category recommendations. So what we've built
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into datafy is the ability to get in bulk category recommendations and then
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you can assign the ones that you approve of in bulk also. Now on a small catalog like this where I've got, you know, a dozen or so products that need the
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categories assigned, I could do this manually if I wanted to, but it is a bunch of work, right? And on a catalog of hundreds or thousands of products,
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there's no way you can do it manually.
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So, we're going to go in the datafy app to the bulk assign categories section.
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And the first thing you have to do is you have to subscribe to AI categorization. This is a paid feature. We do have to analyze all your products,
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use our AI models to determine our category recommendations because Shopify does not share their category recommendations to any apps in the
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ecosystem. So, there there's a bunch of time and energy involved in us doing this. So, it is a paid feature. So all you have to do is subscribe to AI
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categorization. Now this isn't a monthly fee. It's a pay as you go model. So if you only categorize your products once,
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you make one payment. But if you bring in new products and want to recategorize them, you'll make a payment for that amount. And that amount changes based on
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the number of products you're applying a category for. So here I'm going to subscribe to AI categorization.
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And you can see, you know, here it's telling you, oh, there's a monthly charge. won't exceed $25. I'm going to approve that.
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And now I have the ability inside of bulk assign categories of looking at them. So here what I'm going
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to do is I'm going to run AI categorization for all uncatategorized products of which there's nine of in this store. So I'm going to run that
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and it's going to look at each product and the data about that product. the product title, the product description, and other attributes about the product,
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and compare that to the Shopify category list, that 10,000 list of categories,
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and determine the best one for that product. I'm going to pause this while this, it's already run. Now, it's
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telling us that these products here, this is the the product name that we put in, matches to
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this suggested category. And here's the confidence that the AI model has for that. And you can see all of them are
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high except for the frozen asah of ice cream and frozen yogurt. It's a medium confidence. And you can filter by
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confidence level. So there's no low confidence products. There's one medium confidence of the category and then the
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high. Usually we're fairly confident that most of or all of the highs are accurate. We haven't come across a case
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yet that they're not. the mediums half the time they're accurate and the lows you definitely need to look at. Now in
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this case here um it actually just updated the oh we're on the highs and so here and now I can you know I can select
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all of these and just you know bulk accept them. So, I'm going to go in and
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bulk accept all. Or if I wanted to, I can say, you know, take all the highs and select the ones I want um for them.
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But I'm just going to bulk accept all in this case.
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Now, like I said, for, you know, when I'm doing nine products, you could do this by hand. It is a little much quicker and easier to do this through
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the automated automation tools here. But when you have hundreds and thousands of products, it is indispensable to use
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this functionality. Now, if I go back to my product list, you'll see that they all have oh,
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activewear tops. That was that category I was looking for before. Remember the problem I was having trying to find women's tops? Because it's actually
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active wear tops. Um, and you know, it would have taken me a while to figure out that out in the taxonomy, but the AI
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tools and datafy figured that out for me. So, I don't have to spend my time understanding all of that. So, you can see here all the categories are now
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assigned to those products. And if I go back to the top level of datafy and rerun my uh discoverability score,
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right now it's a 5.6. I'm going to recalculate that.
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And we went from a 5.6 to a 6.7 because now all of our products have a category
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assigned. So that's how you do bulk assigning of categories using AI to determine the right category for your products. Thanks for watching.