AI Platform ‘Daydream” Launches in the US

Daydream, the AI-driven personal shopping platform was finally launched in the US earlier this week. Daydream, which was founded by Julie Bornstein, received last year USD 50 million in seed funding, and is unique to e-commerce by relying on natural text prompts from users to find what they are looking for. Alternatively, users can also upload images to its chat window.

According to Business of Fashion, “Daydream is able to process open-ended queries and take context into account when providing product matches". Bornstein recalls one user asking Daydream to find a revenge wedding dress for a wedding in Paris with “Saltburn” vibes, referring to the much-discussed Jacob Elordi and Barry Keoghan 2023 movie.

First-time visitors must create a profile to personalize results as much as possible. It starts by asking users their name, date of birth, and clothing brands they are currently wearing. Users then proceed to select their favourite brands from Daydream’s directory, and finalise by selecting their preferred sizes for jeans, tops, dresses, and shoes.

I created a profile to better understand Daydream, and the results were a mixed bag, but expect this to be improved the more I use the platform, and the better Daydream learns from my likes and dislikes.

Daydream already has more than 200 retail and brand partners, and a catalogue of more than 2 million products across 8,000 brands. By clicking on the product of their choice, users will be taken directly to a retailer where they can make their purchase. Daydream, in return, charges a commission on each sale that driven by their platform.