BIRSE: Visual Search logo

BIRSE: Visual Search

Free App

AI Product Image Search and precise product recommendations.

Product recommendations
Image upload search
Image selection search
Build image database

About BIRSE: Visual Search

Launched Jul 08, 2024

Categories

Built by FUNMULA CO., LIMITED

Description

BIRSE: Visual Search offers in-site image search and product recommendations. When the users browse, it predicts their shopping intent, suggesting more of the same style items, boosting cross-selling, and increasing sales conversion rates. -Build your own product image database -Product Recommendations: increase exposure to other items on the site -Image Upload Search: providing a more intuitive search method than text -Image Selection Search: precise product discovery, enhanced user experience

BIRSE: Visual Search offers in-site image search and product recommendations. When the users browse, it predicts their shopping intent, suggesting more of the same style items, boosting cross-selling, and increasing sales conversion rates. -Build your own product image database -Product Recommendations: increase exposure to other items on the site -Image Upload Search: providing a more intuitive search method than text -Image Selection Search: precise product discovery, enhanced user experience more
  • Image Upload Search: providing a more intuitive search method than text.
  • Image Selection Search: precise product discovery, enhanced user experience.
  • Product Recommendations: increase exposure to other items on the site.

Pros

  • Provides in-site image search, making searches more intuitive than text-based methods
  • Predicts shopping intent and suggests items with the same style, boosting cross-selling and increasing sales conversion rates
  • Allows users to build their own product image database
  • Enhances user experience with precise product discovery through image selection
  • Increases exposure to other items on the site through product recommendations

Cons

  • May require significant initial setup to build the product image database
  • Relies heavily on AI predictions, which may not always align with user preferences
  • Can potentially overwhelm users with too many recommendations if not properly managed

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