Former Waiter Builds AI-Powered Restaurant Inventory Agent Using Python and Flask

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A developer with six years of experience as a waiter built an AI tool called Materia AI to help restaurants manage menus and inventory more effectively. The project was inspired by firsthand observations of poor stock visibility, food waste, and gut-based menu decisions in the restaurant industry. Using Python, Flask, and OpenAI's GPT-4o-mini model, the developer created a backend endpoint that analyzes sales and inventory data to generate actionable menu recommendations. The React frontend communicates with the Flask API, which processes inventory inputs and returns AI-generated suggestions on which dishes to pause or adjust. Key challenges included designing consistent prompts, handling API rate limits, and securing credentials through environment variables.

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