Intelistyle

Intelistyle is an A.I. styling platform that aims to enhance the customer experience for fashion retailers. According to the vendor, this solution utilizes artificial intelligence to provide personalized styling recommendations for customers, both online and in-store. The platform offers a virtual try-on feature, enabling customers to visualize how garments would look on them, regardless of their skin tone or body type. Additionally, AI-generated outfits on virtual models help customers envision the complete look of an outfit. The vendor claims that virtual product photography can also be utilized to efficiently produce full body shots with virtual models.

Key Features

Virtual Try-On: According to the vendor, customers can use this feature to visualize how any garment would look on them, regardless of their skin tone or body type. The platform generates AI-powered outfits on virtual models, providing customers with a better understanding of the overall look.

Shop The Look Recommendations: The vendor claims that the platform offers on-trend outfit recommendations for various occasions, body types, and styles, aiming to increase conversion rates and basket size for online retailers.

Fashion Personalization: According to the vendor, the platform provides hyper-targeted fashion personalization for visitors, allowing retailers to offer a tailored shopping experience based on individual preferences and style.

Visually Similar Recommendations: The vendor states that this feature suggests alternative products based on cut, color, shape, and more, helping customers discover similar items that align with their desired style.

Visual Search: The vendor claims that customers can search for products or looks by uploading images, enhancing the search experience and enabling users to find specific items or replicate desired outfits.

Email Recommendations: According to the vendor, personalized email recommendations are provided to increase customer retention and encourage repeat purchases. The platform suggests outfits and clothes that complement past purchases.

Ad Retargeting: The vendor claims that personalized ads featuring complete outfits tailored to customers' style are used to inspire engagement and increase conversions.

Personalized Landing Pages: According to the vendor, landing pages can be created based on various contexts such as past behavior, campaigns, season, and style. This feature allows retailers to deliver a customized experience to their customers, potentially increasing conversion rates.

Automated Product Tagging and Categorization: The vendor states that this feature automates the process of product tagging and categorization, saving time and cost. It aims to ensure that customers can easily find the items they are looking for, improving the overall shopping experience.

Advanced Reporting: According to the vendor, the platform provides detailed reports on inventory performance, empowering the buying team with valuable insights into inventory trends and helping retailers make informed decisions to optimize their product offerings.