The Challenge
Retail teams lose time when product names, categories, and shorthand do not match the words customers or staff use in real searches.
AI retail inventory search
VapeOS
A semantic inventory experience for a retail catalog with thousands of real products and inconsistent naming.
1,700+
Indexed products
Semantic
Search mode
AI-led
Interface
The Solution
The system uses semantic search and an AI-controlled dashboard pattern so operators can speak or type intent and get relevant inventory results without exact keyword matching.
The Result
A working AI inventory surface that demonstrates how a messy catalog can become a faster, more natural operating interface.
Stack and service links
The useful details stay connected.
Case studies should feed service pages, and service pages should point back to relevant proof.
Stack
Next.js
Supabase
Vector search
Gemini API
Related services
Next step