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Buysmart.ai, an intelligent e-commerce shopping assistant based on large language models.

Buysmart.AI is positioned as an intelligent e-commerce shopping assistant. Built on large language models combined with proprietary recommendation technology, it provides users with a one-stop solution for understanding shopping intent, aggregating information across the web, decision-making, and guided purchasing. Buysmart.AI can engage in multi-turn conversations with users, and based on scraped e-commerce data and its proprietary recommendation algorithm, matches users with suitable products and purchase links. Buysmart.AI effectively addresses the shortcomings of large language models in search and recommendation.

Buysmart.AI mainly focuses on overseas AI e-commerce guided shopping, serving as an intelligent shopping buyer that helps users select products and make purchasing decisions. For example, users can tell the AI that they want a comfortable bicycle seat or a yellow T-shirt that looks good when worn, and it will recommend suitable products.

Buysmart.AI delivers very smooth conversations. The website's traffic in the past month has increased by 1200% compared to the previous month! It helps consumers accurately and quickly find the right products, reducing the time and effort spent on search and inquiry. It will become a core channel for traffic distribution in the future, and live-stream e-commerce will inevitably be replaced by the more efficient conversational guided shopping!

Note: Buysmart.AI is the first-prize winner of Baidu's "Ernie Cup" startup competition. The other first-prize winner is ChatDOC, a professional knowledge Q&A assistant and reading platform based on document intelligence.