Explore this MVP—created from scratch in just two days—and see how AI is poised to transform human interaction with online shops and kiosks. Although this demo isn't conversational yet, it illustrates how AI can efficiently locate products and uncover meaningful relationships among them.
Next steps to improve it down below.Want to eat something? Wondering about calorie or reviews?
Breakfast Menu
(This is a demo with fake data)
What's Next?
1. Make the UX Conversational
Imagine a shopping experience where users feel like they're chatting with a helpful store assistantrather than navigating a static interface. By introducing a conversational flow, we can guide users naturally through their purchase journey, answer questions in real-time, and even upsell or cross-sell products seamlessly. This not only boosts customer satisfaction but also increases average order value by making recommendations feel personal and intuitive.
2. Iterate on Product Information for Better AI Response
The quality of AI responses is directly tied to the quality of the data it's trained on. By refining product descriptions, adding rich metadata, and incorporating user-generated content (like reviews and FAQs), we can empower the AI to deliver more accurate, relevant, and engaging responses. This means fewer missed opportunities, happier customers, and a stronger brand reputation for understanding and meeting customer needs.
3. Implement Cryptocurrency for Payment
Cryptocurrency isn't just a trend—it's the future of payments. By integrating crypto payments, we can tap into a growing market of tech-savvy consumers who value speed, security, and innovation. Plus, offering crypto as a payment option positions our brand as a forward-thinking leader, attracting a younger, more affluent demographic. With the very low transaction fees and faster processing times, it's a win-win for both customers and the business.