In the dynamic retail landscape, staying ahead of consumer expectations and operational efficiency is critical. The challenge lies in establishing an AI-driven framework that automates the identification and tagging of universally recognized and custom attributes for products.

IntelliTag, powered by GPT-4 Vision and OCR models, addresses this need by fusing Generative AI with advanced AI features to automate product attribute creation, fostering heightened consumer engagement.

• Prompt Engineering Module:
• Utilizes GPT-4V to identify visual and textual attributes of products.
• Enhances attribute identification through advanced prompt engineering techniques.
• Inferencing Module:
• Integrates Azure OpenAI models with a user-friendly interface.
• Displays predicted image labels for user validation and interaction.
• Feedback Module:
• Allows users to tag predictions as correct or incorrect via a web UI.
• Offers the option to modify predicted labels, ensuring accuracy and relevance.
• Retraining Module:
• Continuously retrains models using manual feedback.
  
• Improves predictions through prompt reengineering and integrates seamlessly into deployment cycles.
  

• AI-powered Implicit & Explicit Attributes: Automates nuanced product characteristic identification.
• Expressions and Context: Captures relevant context for accurate tagging.
• Organization’s Nomenclature: Adapts to specific naming conventions.
• Capture Latest Trends: Keeps up with market trends.
• DAM Integration: Integrates with preferred Digital Asset Management systems.
• Secure & Responsible AI: Ensured by Azure OpenAI.
• Automated Workflow Execution: Streamlines processes.
• Model and Usage Governance: Provides oversight on model performance.
• Role-Based Access Control: Ensures appropriate access levels.
• Scalable: Grows with business needs.
  
• Comprehensive and Accurate: Ensures precise tagging.
  
• Efficient: Enhances operational efficiency.

• Enhanced Personalization: Offers personalized recommendations, improving engagement and satisfaction.
• Improved SEO: Enriches product metadata for better search engine indexing and visibility.
• Streamlined Marketing Campaigns: Facilitates targeted marketing for effective campaigns.
• Improved Customer Experience: Aids in product discovery, increasing satisfaction and loyalty.
• Data-Driven Insights and Decision-Making: Provides insights into customer preferences and market trends for informed decisions.
• Streamlined Operations and Cost Efficiency: Optimizes processes, reduces manual effort, and lowers operational costs.