Deep Tagging
What is Deep Tagging?
Deep tagging is the process of assigning detailed, granular, and context-rich tags to products using AI tagging and semantic tagging techniques. Unlike basic tagging, which adds simple labels like color or size, deep tagging goes further by identifying subtle attributes such as style, fabric texture, fit, or occasion, helping products become more searchable and accurately categorized.
Deep Tagging in eCommerce
In fashion eCommerce, advanced product tagging and attribute tagging powered by AI allow retailers to create richly detailed product catalogs. Deep tagging enables better organization, filtering, and personalization by linking products through shared attributes and meanings.
How Deep Tagging Improves Search Relevance:
- Enhances search and filtering accuracy by recognizing nuanced product attributes.
- Powers semantic search, allowing customers to find products by meaning, not just keywords.
- Enables AI-driven recommendations based on detailed style and attribute data.
- Improves product discovery and cross-selling opportunities.
- Ensures consistent data structure across catalogs and sales channels.
Why It Matters?
- Boosts product discoverability through more relevant search results.
- Enhances personalization and recommendations.
- Reduces manual tagging workload with AI automation.
- Supports better catalog management and SEO optimization.