New Solutions & Innovations in Fashion and Home Decor AI

Our latest AI innovations for fashion & home include automated product descriptions, enhanced fashion tagging, and home decor search.

Zuzana, Ximilar
Zuzana Raidová September 18, 2024
3 minutes of reading
Our latest AI innovations for fashion & home include automated product descriptions, enhanced fashion tagging, and home decor search.

Automate Writing of SEO-Friendly Product Titles and Descriptions With Our AI

Our AI-powered Product Description revolutionizes the way you manage your fashion apparel catalogs by fully automating the creation of product titles and descriptions. Instead of spending hours manually tagging and writing descriptions, our AI-driven generator swiftly produces optimized texts, saving you valuable time and effort.

Ximilar automates keyword extraction from your fashion images, enabling you to instantly create SEO-friendly product titles and descriptions, streamlining the inventory listing process.

With the ability to customize style, tonality, format, length, and preferred product tags, you can ensure that each description aligns perfectly with your brand’s voice and SEO needs. This service is designed to streamline your workflow, providing accurate, engaging, and search-friendly descriptions for your entire fashion inventory.

Enhanced Taxonomy for Accessories Product Tagging

We’ve upgraded our taxonomy for accessories tagging. For sunglasses and glasses, you can now get tags for frame types (Frameless, Fully Framed, Half-Framed), materials (Combined, Metal, Plastic & Acetate), and shapes (Aviator, Cat-eye, Geometric, Oval, Rectangle, Vizor/Sport, Wayfarer, Round, Square). Try how it works on your images in our public demo.

Our tags for accessories cover all visual features from materials to patterns or shapes.

Automate Detection & Tagging of Home Decor Images With AI

Our new Home Decor Tagging service streamlines the process of categorizing and managing your home decor product images. It uses advanced recognition technology to automatically assign categories, sub-categories, and tags to each image, making your product catalog more organized. You can customize the tags and choose translations to fit your needs.

Try our interactive home decor detection & tagging demo.

The service also offers flexibility with custom profiles, allowing you to rename tags or add new ones based on your requirements. For pricing details and to see the service in action, check our API documentation or contact our support team for help with custom tagging and translations.

Visual Search for Home Decor: Find Products With Real-Life Photos

With our new Home Decor Search service, customers can use real-life photos to find visually similar items from your furniture and home decor catalogue.

Our tool integrates four key functionalities: home decor detection, product tagging, colour extraction, and visual search. It allows users to upload a photo, which the system analyzes to detect home decor items and match them with similar products from your inventory.

Our Home Decor Search tool suggests similar alternatives from your inventory for each detected product.

To use Home Decor Search, you first sync your database with Ximilar’s cloud collection. This involves processing product images to detect and tag items, and discarding the images immediately after. Once your data is synced, you can perform visual searches by submitting photos and retrieving similar products based on visual and tag similarity.

The API allows for customized searches, such as specifying exact objects of interest or integrating custom profiles to modify tag outputs. For a streamlined experience, Ximilar offers options for automatic synchronization and data mapping, ensuring your product catalog remains up-to-date and accurate.

Zuzana, Ximilar

Zuzana Raidová

Head of Marketing

Zuzana is a marketing specialist, biologist, and illustrator addicted to reading and hiking. At Ximilar, she takes care of web content and communication, strives to keep the KPIs high, and the office temperature low. She likes science, kung fu movies, and rain.

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