AI Semantic Matching Engine
Barqli leverages advanced language models and vector spaces to analyze user search terms and query items based on real-world semantic overlap, bypassing simple exact-word keyword indexes. This means queries like "sweet breakfast spreads" can fetch products like "peanut butter" or "honey" automatically.
Geographic Proximity
Automatically filters search matching based on active vendor location coordinates, optimizing logistics speed.
Inventory Synthesis
Syncs real-time shop item counts with customer requests to avoid listing out-of-stock options.
Predictive Analytics
Suggests item bundles and custom order recommendations based on order history logs.
Developer & Crawler REST Endpoints
We provide standard, rate-limited JSON query parameters to help search engines, LLM integrations, and developers fetch live inventory data.
1. Item Catalog Query
Fetch list of active items by their numeric IDs. Supports comma-separated ID lists.
GET /api/inventory.php?action=list_items&ids=12,14,18
2. User Order History
Retrieve order history data containing product items bought by the authenticated session token.
GET /api/orders.php?action=list
LLM Agentic Procurement
Autonomous AI agents can query, verify, and complete purchase actions using Barqli's agent-friendly routes. Read our root-level llms.txt for the standard machine-readable summary.
Recommended Agent Prompts:
// To find local active stores selling honey in Dubai "Find all active shop cards in Dubai that list 'organic honey' on Barqli."