Fashion’s one constant — change — forces everyone within the industry to stay ahead of trends in order to make intelligent business decisions. But designers, marketers and buyers may soon be getting help with some of the “grunt work” involved in analyzing data. A study revealed that AI-powered “classifiers” were more reliable at analyzing garments, and could classify footwear styles and footwear subcategories, more accurately and consistently than apparel professionals, according to EDITED.
When compared to humans, the classifiers made, on average:
- 2.5 percentage points fewer errors when identifying garment types;
- 9.3 percentage points fewer errors when determining subcategories; and
- Approximately 6.5 percentage points fewer errors when classifying specific footwear styles.
These results don’t mean, however, that the technology replaces the human touch — it just enhances it. In showing more efficiency at performing redundant tasks such as identifying products and styles, AI-powered solutions could give designers and merchandise buyers more time and energy for developing product-driven strategies and eliminating data-related guesswork.
“If you’re talking about designing a new product, you can filter down the data and see the details of the products,” said Kris Graham, Data Scientist at EDITED in an interview with Retail TouchPoints. “Ultimately, you can see the ‘soft’ colors and shapes that it would be really difficult to narrow down to on your own. If you’re in buying, you can find your assortment for the next year. Even beyond that, it goes down to the supply chains — if you see in the data that there’s a lot of a specific color or a specific type of fabric that’s coming through, then you can supply all those things and you can prepare as well. You can identify things before they become apparent…