Short answer: Angie Westbrook says sales data alone rarely shows an instant reaction, so Standard AI would track how shoppers respond to the music. Jordan Metzner suggests iterating tracks until one maximizes yield.
Watch this answer from Episode 21 (starts at 7:11) · Episode 21 notes and transcript
From Episode 21: Not your STANDARD Market, starting at 7:11.
Jordan Metzner [7:10]: Cool? Alright. Alright. So, yeah, Angie, love to get your first thoughts on our retail mood AI DJ mixer.
Angie Westbrook [7:20]: I love it. I'm a sucker for music though, so I'm an easy sell. But I think something that you said, Sam, is really interesting, which is you have a hypothesis about what's gonna influence shopping behaviors, and that's exactly where this would combine with Standard AI technology because there's lots of things that impact shoppers. Customer experience is super important and even more relevant when you think about how to differentiate what's happening inside a brick and mortar store. So I love the idea of being able to play different music, see the response on shoppers. And, our what we do is you can't always see an instantaneous reaction on sales data alone. So we track what shoppers are actually doing and how they're responding and if that creates more browsing behaviors or not. So I kinda love this idea, and I think it'd be awesome to put it in one of our stores to have the technologies so that we could see whether your upbeat music and your hypothesis is right.
Jordan Metzner [8:16]: Awesome. Yeah. We even thought to take it to, like, the next level where, essentially, you can see which tracks within, that substrate do perform better or worse. So, hey, disco works better in the afternoon, and we see people shop better, but this disco song just performs marginally less than this other two disco songs. And you can kinda keep creating iterations to kind of create improvements, until you get a disco song that kind of like, really maximizes your yield. And maybe that doesn't work in the same kind of different types of vertical, and then, just the same across all different types of music spectrum. So, feeling out the vibe of the store and
Angie Westbrook [8:52]: You could have personalization there to some extent, where you Absolutely. Could know somebody in a certain aisle behaving in different way. Maybe you could even tune in to preferences, like, if it trained over time. I think it's awesome.
Jordan Metzner [9:05]: And just the idea to have music that's unique to the store and the brand. I mean, it's like you go to you go during the holidays to the shopping mall, and all the stores are playing kind of the same music, over and over again, kinda and I think that's, like, the demonstration that, like, there's no data. Right? Everybody just presses play on the same playlist. And, maybe by generating, Christmas or holiday themed music and knowing which ones work better and worse during different times of the day, you actually could significantly, increase store sales without playing kind of that same Mariah Carey song.
Angie Westbrook [9:34]: Thank you.
Sam Nadler [9:37]: Are you telling me no more Michael Buble for on repeat?
Angie Westbrook [9:43]: Don't take away Michael Buble. I just need it at least once.
