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Tile Finder Chatbot

Finding the right tile for your space can be overwhelming, especially when trying to match a specific pattern, texture, or design. The Tile Finder Chatbot simplifies tile discovery by allowing users to upload an image or enter a URL. AI analyzes visual features and finds similar tiles from the database. This AI-powered solution enhances the tile selection experience, helping users effortlessly discover alternatives that suit their aesthetic and functional needs.

How it works

The system enables seamless visual search by:

  • Extracting Key Visual Features – AI identifies surface patterns, colors, textures, and finishes.
  • Comparing Tile Database – Matches your input against a wide range of tile options.
  • Ranking the Closest Matches – Displays top results based on visual and design similarity.
  • Providing a Curated Selection – Users get a shortlist of matching or alternative tile options.

Introducing

Use Case
  • Interior Designers & Architects – Find perfect tiles to match mood boards or client references.
  • Retailers & Tile Showrooms – Offer visual search capabilities to help customers discover similar products.
  • End Customers – Upload images from magazines or homes they love to find matching tiles.
  • Contractors & Builders – Quickly find replacements or design matches on-site.
  • Online Tile Sellers – Enhance product search with visual matching to reduce drop-offs.
Benefits
  • 80% Faster Product Discovery – Instantly identifies visually matching tiles.
  • 40% Higher Conversion Rates – Accurate tile matching drives purchase decisions.
  • 60% Improved Search Accuracy – AI refines matches to align with user needs.
  • 30% Higher User Engagement – Users interact longer with AI-driven visual results.
  • 25% Boost in Cross-Selling Opportunities – Suggests complementary or alternative tiles.

Components

  • Image Processing Module – Extracts tile design elements from images (e.g., pattern, color, finish).
  • LLM-Based Embedding System – Converts tile attributes into numerical vectors for comparison.
  • Vector Search Engine – Retrieves the most visually similar tile from the database.
  • Chatbot Interface – Enables users to upload tile images or paste reference URLs.
  • Recommendation Engine – Suggests similar and related tile options.
  • Business Analytics Dashboard – Tracks customer preferences and tile search trends.

Architecture Diagram

diagram

Guided Tour

Computer Vision Match

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Finding the perfect fashion item can be challenging, especially when searching for a specific style or design. AI-powered Computer Vision Match enhances the shopping experience by enabling users to upload an image or enter a URL, allowing AI to analyze visual features and find similar items from a vast product database. This simplifies product discovery and helps users effortlessly explore alternatives that match their preferences.

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