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An Executive-Level Breakdown of AI’s Impact on Search
Manage episode 435597537 series 2645653
Το περιεχόμενο παρέχεται από το Bloomreach. Όλο το περιεχόμενο podcast, συμπεριλαμβανομένων των επεισοδίων, των γραφικών και των περιγραφών podcast, μεταφορτώνεται και παρέχεται απευθείας από τον Bloomreach ή τον συνεργάτη της πλατφόρμας podcast. Εάν πιστεύετε ότι κάποιος χρησιμοποιεί το έργο σας που προστατεύεται από πνευματικά δικαιώματα χωρίς την άδειά σας, μπορείτε να ακολουθήσετε τη διαδικασία που περιγράφεται εδώ https://el.player.fm/legal.
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
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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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