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 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.
Enables LLMs to answer small business finance questions about spending, sales trends, cash flow projections, and profitability using a local SQLite database.