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Shopping agent Daydream wants fashion retail to feel like magic, not a search bar

A new entrant in the e-commerce landscape aims to transform how people discover fashion online. Unlike traditional shopping platforms that are retrofitting AI capabilities onto existing systems, Daydream was built from the ground up as a conversational commerce experience. The platform functions as a chat-based shopping agent that understands nuanced queries and personal preferences: customers explain what they're looking for, Daydream serves up options. From there, it's a conversational process of finding similar or different garments and styles until the right item is found.

Daydream adapts to individual style preferences, serving as a digital personal shopper that learns from each interaction with a user. At launch, the platform boasts partnerships with nearly 8,000 global brands and retailers. Founded by e-commerce veteran Julie Bornstein and a team of former leaders from Google, Microsoft, Amazon, and Nordstrom, Daydream scored USD 50 million in seed funding co-led by Forerunner Ventures and Index Ventures, with participation from GV and True Ventures.

TREND BITE
What Daydream is promising isn't just personalization; it's personalization that feels like magic: a highly curated, emotionally intelligent experience where the platform acts more like a personal stylist or concierge than a search engine.

Once they've become accustomed to Daydream and other retail agents, here's what consumers will start expecting before they purchase:
👩‍🎨 Shopping that feels more like a creative collaboration than a transaction
👁️ Aesthetic intelligence: stores and platforms that 'get' their taste
💎 Recommendations that evolve and improve with every interaction

Spotted by Reinier Evers