Short answer: Jordan Metzner says he generated five AI songs, from 90 to 130 BPM, that map to how many shoppers are in the store, moving from opening mode to a packed store and then closing mode.
Watch this answer from Episode 21 (starts at 2:57) · Episode 21 notes and transcript
From Episode 21: Not your STANDARD Market, starting at 2:57.
Jordan Metzner [2:56]: Yeah. Well, I think, the idea was originally yours, so I just tried to take your idea and kinda put pen to paper a little bit. But we try to keep of think of Standard AI in mind. So I've been loving generating music with AI. I love to use Suno. I've tried Udio and ElevenLabs APIs and some other tools as well. And I think this is a really cool way to democratize music production because, now a kid in their bedroom just like they could with GarageBand, but now, even younger can just describe the kind of song they want and can make whatever they want. And I think that's super cool. And as we know, Standard AI really just focuses on retail. And so we thought, how do we bring music and computer vision and AI altogether to build a really cool experience that could be something Standard AI would do. So I don't know if you ever used the DJ from Spotify, but it's, it's an AI DJ. It takes kind of like, the best of playlists and kinda plays them back to you, and then he speaks to you every once in a while, which is sometimes cool and sometimes annoying. But, we kinda took that idea and took it to the next level. And so we thought, I thought of a retail store, like a clothing shop. I thought, the music should be DJ'd and kind of varied throughout the store.
Jordan Metzner [4:15]: But, most clothing stores, they usually pay to get like popular music and they just play whatever's on the radio kind of thing type of music. It doesn't really matter if the store is busy or not busy. It doesn't really matter if it's morning or night. It doesn't really change if it's cold outside and raining or if it's, a sunny day. They just kinda, play whatever's popular or whatnot. So we thought we could use AI and computer vision to kinda build a DJ that would play different music throughout the day depending on the occupancy of the store. So we built five different songs. You can see the songs that we built down here. So they go from 90 BPM all the way up to one thirty and back to a 100. And all of these songs kinda map to how many shoppers are in the store. So we've got kinda from opening mode all the way up to like full packed store, and then all the way down to closing mode as well. And so let me just jump into this demo really quick. Any anything I missed, Sam, before I do that?
Sam Nadler [5:14]: No. And our thesis is that, there could be a correlation between beats per minute and, I guess, sales? Or, what would be interesting is does in, music influence, sales, and could a retail location, try and drive sales by just changing music. And it could be the total opposite. Maybe more chill music, or it could be based on what they're selling. A candle shop may not want a 130 beats per minute, but sunglasses may. So either way, we think it's a fun way to think about retail volume and correlating that with music.
Jordan Metzner [6:00]: Okay. Cool. So let's get into it. So let's start the music. And even really cool here is the intro song has even like an a welcome message. Maybe we can get to that. Let's see if we can get there. So she like welcome shoppers or something like that. Alright. So here's the 11AM beat. And then as you keep going, the party gets higher and higher. And then as we get to the top. Closing mode as well. We'll show kinda how we close it out, and they'll bring the music back down. Chill, so.
