このエピソードについて
In order to unlock AI’s highest potential in shopping experiences, we need to understand how AI understands us: our language, our buying patterns, and our search preferences.
Joining co-hosts Elena and Roxy on this week’s episode is Xun Wang, CTO at Bloomreach, who gives the 411 on how AI and large language models (LLMs) are revolutionizing the way consumers search online. When the customer is granted a more personalized and relevant shopping experience, it’s better for both the customer and the brand — Xun breaks down exactly how AI can assist commerce professionals in achieving that goal.
TLDR
Joining co-hosts Elena and Roxy on this week’s episode is Xun Wang, CTO at Bloomreach, who gives the 411 on how AI and large language models (LLMs) are revolutionizing the way consumers search online. When the customer is granted a more personalized and relevant shopping experience, it’s better for both the customer and the brand — Xun breaks down exactly how AI can assist commerce professionals in achieving that goal.
TLDR
- How LLMs and vector technologies help search accuracy and personalization
- Why intent, product performance, and sophisticated algorithms improve ecomm search
- The ways merchandisers can tap into AI to make product discovery a better experience
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文字起こし 🔗
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免責: このページに埋め込まれているポッドキャストとアートワークは Bloomreach からのものであり、その所有者の所有物であり、Listen Notes, Inc. と提携または承認されていません。
