Retailgentic | Consumer Behavior & Retail Trend

When you think about vertical shopping agents, the AI agents built to solve shopping in one category, one name keeps coming up: Daydream. We’d wanted to get the Daydream team on Retailgentic for a while, and this week we finally did. This one is part founder story and part deep dive into what a fashion-native agent learns when shoppers stop typing keywords and start describing their lives.

Highlights: 
  • 𝗧𝗵𝗲 $𝟱𝟬𝗠 𝗿𝗮𝗶𝘀𝗲: Daydream has raised $50 million. The Pinterest exit kept earlier investors on board and brought in new ones who had wanted into The Yes before it was acquired.
  • 𝗢𝗻𝗹𝘆 𝟯% 𝗼𝗳 𝘀𝗲𝗮𝗿𝗰𝗵𝗲𝘀 𝗻𝗮𝗺𝗲 𝗮 𝗯𝗿𝗮𝗻𝗱: In Lisa’s Google days, brand search drove everything. On Daydream, people search by occasion, lifestyle and body type.
  • 𝗤𝘂𝗲𝗿𝗶𝗲𝘀 𝗴𝗲𝘁 𝗱𝗲𝗲𝗽𝗲𝗿: New users start with Google-style searches like “red dress.” The more often they return, the longer and richer their queries get. One real example: “Going to a Tulum vacation for five days. Help me dress like a Jacquemus ad.”
  • 𝗦𝘁𝘆𝗹𝗶𝘀𝘁 𝗶𝗻 𝘆𝗼𝘂𝗿 𝗽𝗼𝗰𝗸𝗲𝘁: “You never ask your personal assistant to actually pick it out for you.” Lisa says that gap is where Daydream fits.
  • 𝗟𝗶𝘃𝗲 𝗶𝗻 𝘁𝘄𝗼 𝗱𝗮𝘆𝘀: Daydream works from brands’ existing Google or affiliate feeds, takes its commission through affiliate networks, and gets most partners live within about two days. The catalog covers 350+ partners, 10,000 brands and 3 million products.
  • 𝗧𝗵𝗲 𝗳𝗮𝘀𝗵𝗶𝗼𝗻 𝗸𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗴𝗿𝗮𝗽𝗵: Daydream doesn’t take a feed as finished. It enriches each one using text, images and input from real stylists, so it can tell that a skirt is both A-line and pleated, and that a white dress is the wrong answer for a wedding guest.
  • “𝗠𝘆 𝗳𝗲𝗲𝗱 𝗶𝘀 𝗴𝗮𝗿𝗯𝗮𝗴𝗲”: It’s what Lisa hears most often from brands. Daydream’s goal is to level the field so a brand with a 25-person feed team doesn’t automatically beat a one-person Shopify shop.
  • 𝗧𝗮𝘀𝘁𝗲 𝘃𝘀. 𝘀𝗽𝗲𝗰: Lisa splits shopping into two kinds. In spec-based buying (“the Samsung Frame TV in 65 inches, just buy me the best price”), agents will act fast. In taste-based categories like fashion and home decor, people “want agency in” the process.
Lisa has spent her whole career bringing fashion along into what’s next, and Daydream may be the clearest picture yet of what a category-native agent can do.

Timestamps:
03:55 Welcome Lisa Yamner, Co-Founder of Daydream
04:45 Lisa's background: 12 years at Google
05:35 Condé Nast, The Yes and the Pinterest acquisition
07:40 The original 2023 Daydream pitch
10:05 Raising $50M
10:45 What Daydream learned about consumer behavior
12:40 The stylist in your pocket
13:55 Getting fashion brands on board
16:25 The SoHo pop-up, brand activations and AI Decoded
19:30 How merchants get started
21:10 Powered by Daydream
21:50 Building B2B and consumer at the same time
23:00 Conversion and the "shop with AI" problem
26:00 What brands learn from natural-language search
28:50 Profiles, context and personalization
30:40 Product data gaps and the fashion knowledge graph
34:55 What's next: a proactive AI stylist
39:25 Will consumers let agents buy? Taste vs. spec
45:05 Protocols and payments
46:55 Agentic commerce in 2030
47:50 Wrap-up

👉 Connect with Lisa: https://www.linkedin.com/in/lisayamnergreen/
👉 Learn more about Daydream: https://daydream.ing/

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Creators and Guests

Host
Scot Wingo
CEO and Co-founder, ReFiBuy.ai

What is Retailgentic | Consumer Behavior & Retail Trend?

Retailgentic explores consumer behavior and retail trends to help brands and retailers innovate. Join Scot Wingo for expert insights, actionable news, and ecommerce innovation strategies to navigate the future of retail and agentic commerce.