Enables management of retail e-commerce products with CRUD operations, AI-powered product description generation, and inventory tracking through SQLite database integration.
Enables AI agents to query and modify inventory data through natural language, bridging AI assistants to the inventory management system without requiring SQL knowledge or direct database access.
Manages inventory operations using Supabase/PostgreSQL database, enabling users to add, remove, check stock levels, and list inventory items across multiple locations.
Enables AI agents to manage inventory conversationally: list and look up products, check current stock levels, record inbound and outbound movements idempotently, review movement history, and surface items below their minimum threshold. Every figure is grounded in tool calls rather than model estimation, and invalid operations return explicit error codes the agent can reason about.
Enables AI assistants to query a retail and food-service point-of-sale database through predefined business tools for sales summaries, top products, margins, stagnant inventory, cash reconciliation, and optional stock adjustments, returning formatted markdown answers.