Syte’s AI Styling Uses Visual & Generative AI to Suggest Matching Items
Laura McQuarrie — January 11, 2024 — Tech
References: syte.ai & prnewswire
Stye, a visual AI platform for retail, newly introduced AI Styling as a new solution that leverages its proprietary visual AI engine with new generative AI capabilities. Created to enhance the product discovery process, this new styling solution uses a combination of visual and genAI to automatically recommend complementary products. The artificial intelligence can suggest a variety of styles based on the brand or retailer, and the target consumer's desired look.
This AI styling solution helps with cross-selling across diverse product catalogs, and it stays up to date with changing stock, the changing seasons and brand aesthetics.
Stye's AI Styling is set to go live for Syte customers early in Q2. This practical AI solution was launched alongside the Product Description Generator, which also combines visual and generative AI technology.
This AI styling solution helps with cross-selling across diverse product catalogs, and it stays up to date with changing stock, the changing seasons and brand aesthetics.
Stye's AI Styling is set to go live for Syte customers early in Q2. This practical AI solution was launched alongside the Product Description Generator, which also combines visual and generative AI technology.
Trend Themes
1. Visual AI - Utilizing visual AI technology to enhance the product discovery process and provide personalized styling recommendations.
2. Generative AI - Leveraging generative AI capabilities to automatically suggest complementary products based on brand, retailer, and consumer preferences.
3. AI Styling - Introducing AI styling solutions that utilize a combination of visual and generative AI to facilitate cross-selling and stay updated with changing stock and brand aesthetics.
Industry Implications
1. Retail - Applying AI styling solutions in the retail industry to offer personalized recommendations and improve the product discovery experience for customers.
2. Fashion - Implementing visual and generative AI technologies in the fashion industry to assist with cross-selling and provide tailored styling suggestions for customers.
3. Technology - Exploring the potential of visual and generative AI in the technology sector to develop innovative solutions that enhance the user experience and automate processes.
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