This software aims to create an AI-based vending machine that can offer personalized recommendations and an intuitive user interface to enhance customer experience. The vending machine uses computer vision to recognize the user's face and recommend products based on their previous purchases, preferences, and dietary restrictions.

Requirements:

1. User authentication through facial recognition
2. Personalized product recommendations based on user data and machine learning algorithms
3. Support for multiple payment methods, including contactless payments
4. Real-time inventory tracking and alerts for restocking
5. Integration with a mobile app for remote management and monitoring
6. An intuitive user interface with high-quality displays and touch screens
7. Compatibility with third-party hardware and software, such as cashless payment systems

Specifications:

1. The AI algorithm should process user data securely and anonymously
2. The facial recognition system should have high accuracy and speed
3. The inventory tracking system should be real-time and reliable
4. The user interface should be easy to use and accessible to all customers
5. The vending machine should be compatible with a variety of payment methods and hardware systems.

Architecture Plan: The AI-based vending machine will consist of the following components:

1. The user authentication system, which uses a camera and computer vision to recognize the user's face.
2. The AI algorithm, which processes user data to provide personalized product recommendations.
3. The inventory tracking system, which uses sensors and machine learning algorithms to track product levels in real-time.
4. The payment system, which supports a variety of payment methods, including cashless payments and mobile payments.
5. The user interface, which includes high-quality displays and touch screens for an intuitive user experience.
6. The back-end system, which integrates all the components and manages the vending machine's data and operation.

Design Plan: The AI-based vending machine will have a sleek and modern design that fits in any environment. The user interface will be designed to be intuitive and user-friendly, with high-quality displays and touch screens. The facial recognition system will be integrated with the vending machine's hardware for a seamless user experience. The AI algorithm will be constantly learning and adapting to the user's preferences, ensuring that they receive personalized product recommendations. The inventory tracking system will provide real-time alerts for restocking, ensuring that the vending machine never runs out of products. The payment system will support a variety of payment methods, including cashless payments and mobile payments, providing flexibility and convenience for customers. The mobile app will allow for remote management and monitoring of the vending machine, ensuring that it is always running smoothly. Overall, this software aims to create a cutting-edge vending machine that provides a unique and personalized customer experience.