43:I[58016,["/_next/static/chunks/b5ea50e123aa84a6.js","/_next/static/chunks/050761d0d0bdc5d8.js","/_next/static/chunks/de880ec5a0241b38.js","/_next/static/chunks/48003610e91209eb.js","/_next/static/chunks/15a1b1fbd3cf7d4a.js","/_next/static/chunks/81ce7bf5f20dbd5a.js","/_next/static/chunks/86498082dde169e6.js","/_next/static/chunks/903c358828afe0bc.js","/_next/static/chunks/f63fb02bc4156bfb.js","/_next/static/chunks/88bed98e5cd5e639.js"],"ProcessEpisodeButton"] 47:I[45269,["/_next/static/chunks/b5ea50e123aa84a6.js","/_next/static/chunks/050761d0d0bdc5d8.js","/_next/static/chunks/de880ec5a0241b38.js","/_next/static/chunks/48003610e91209eb.js","/_next/static/chunks/15a1b1fbd3cf7d4a.js","/_next/static/chunks/81ce7bf5f20dbd5a.js","/_next/static/chunks/86498082dde169e6.js","/_next/static/chunks/903c358828afe0bc.js","/_next/static/chunks/f63fb02bc4156bfb.js","/_next/static/chunks/88bed98e5cd5e639.js"],"SignupCTA"] 49:I[56939,["/_next/static/chunks/b5ea50e123aa84a6.js","/_next/static/chunks/050761d0d0bdc5d8.js","/_next/static/chunks/de880ec5a0241b38.js","/_next/static/chunks/48003610e91209eb.js","/_next/static/chunks/15a1b1fbd3cf7d4a.js","/_next/static/chunks/81ce7bf5f20dbd5a.js","/_next/static/chunks/86498082dde169e6.js","/_next/static/chunks/903c358828afe0bc.js","/_next/static/chunks/f63fb02bc4156bfb.js","/_next/static/chunks/88bed98e5cd5e639.js"],"EpisodeTranscript"] 3d:["$","div",null,{"className":"flex flex-col gap-2 text-sm text-muted-foreground","children":[["$","span",null,{"className":"inline-flex items-center gap-2 bg-secondary/50 px-3 py-1 rounded-full","children":[["$","svg",null,{"className":"w-4 h-4","fill":"none","stroke":"currentColor","viewBox":"0 0 24 24","children":["$","path",null,{"strokeLinecap":"round","strokeLinejoin":"round","strokeWidth":2,"d":"M8 7V3m8 4V3m-9 8h10M5 21h14a2 2 0 002-2V7a2 2 0 00-2-2H5a2 2 0 00-2 2v12a2 2 0 002 2z"}]}],["$","time",null,{"dateTime":"2024-08-22T13:27:17.000Z","children":"Thu Aug 22 2024"}]]}],["$","p",null,{"className":"text-base text-foreground/80 leading-relaxed","children":"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.\n\nJoining co-hosts Elena and Roxy on this week’s episode is..."}]]}] 44:T449,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

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

45:T762,

An Executive-Level Breakdown of AI’s Impact on Search