The online fashion shopping landscape is plagued by inefficiencies, with billions of dollars wasted on returns that often end up in landfills. Despite significant investments in technology upgrades, the industry still struggles to provide a seamless and personalized shopping experience. The emergence of AI-powered fashion shopping has brought new hope, but the sector --- cluttered and impersonal.
Daydream, a pioneering fashion e-commerce platform, is determined to revolutionize online shopping with the help of agentic AI. Co-founded by Julie Bornstein, a retail-tech veteran with decades of experience, Daydream aims to rethink fashion discovery from the ground up. With a team of seasoned experts from top companies like Amazon, Google, and Pinterest... Daydream is poised to make a significant impact.
The platform has secured $50 million in funding and has already integrated with over 200 retail partners and 8,000 brands. By leveraging AI technology, "Daydream provides a more natural and personalized shopping experience," "allowing users to discover new brands and products in a more intuitive way." The platform operates on an affiliate model, redirecting users to brand or retailer websites to complete purchases and earning a commission on each sale.
As Daydream continues to grow... it raises questions about the sustainability of its affiliate model and whether brands will ← →
Reference: Visit websiteJulie Bornstein is a highly accomplished retail-tech veteran with a career spanning decades. Bornstein's professional journey began with the launch of Nordstrom. com, where she played a pivotal role in establishing the online presence of the iconic department store. Her expertise in digital retail led her to Sephora, where she scaled the company's digital business, driving growth and innovation.
Bornstein's tenure as COO at Stitch Fix further solidified her reputation as a leader in the retail-tech space. In addition to her corporate experience, Bornstein founded THE YES, an AI-native shopping app that was acquired by Pinterest. Her most recent venture, Daydream, aims to revolutionize online fashion shopping with the help of agentic AI. With a proven track record of driving innovation and growth... Bornstein has established herself as a pioneer in the retail-tech industry.Throughout her career, "Bornstein has demonstrated a unique ability to bridge the gap between retail and technology.".. leveraging her expertise to create seamless and personalized shopping experiences. Her contributions to the industry have been instrumental in shaping the future of online retail.
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Experts in the e-commerce industry note that the affiliate model employed by Daydream presents both opportunities and challenges. According to a report by Affiliate Marketing Hub, affiliate marketing has grown significantly over the years, with an estimated 16% of all online orders in the US being generated through affiliate marketing.
However, as Daydream continues to expand its platform, it will be crucial for the company to balance its revenue streams with the needs of its retail partners. Insights from McKinsey suggest that successful affiliate models require a deep understanding of customer behavior and preferences, as well as the ability to provide valuable data and insights to partners.
As Daydream navigates the complexities of the affiliate model... it will be essential for the company to prioritize transparency and collaboration with its partners to ensure long-term sustainability. Research by Harvard Business Review highlights the importance of personalization in driving customer loyalty and retention, "which Daydream's AI-powered approach aims to achieve." By focusing on these key areas... Daydream may be able to establish a robust and sustainable business model that benefits both the company and its partners.
AI Fashion Shopping Technology
These tools have been shown to increase customer engagement, reduce returns, and drive sales for fashion retailers. As AI technology continues to evolve, we can expect to see even more innovative applications in the fashion industry, such as virtual try-on capabilities and AI-driven fashion design. One of the most significant benefits of AI fashion shopping technology is its ability to reduce waste and promote sustainability.
By providing customers with personalized recommendations, AI-powered styling tools can help reduce the number of returns and excess inventory that often end up in landfills.
AI-driven fashion design can help reduce the environmental impact of the fashion industry by optimizing production processes and minimizing waste.
According to a report by McKinsey, "the fashion industry is one of the largest polluters in the world.".. accounting for around 10% of global greenhouse gas emissions.
By leveraging AI technology, fashion retailers can reduce their environmental footprint and contribute to a more sustainable future. Forbes provided details on the growing trend of AI-powered fashion shopping... highlighting the importance of data-driven insights in driving business ← →
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Despite billions in tech upgrades, fashion e-commerce is still cluttered, impersonal, and wasteful—especially in the emerging category of AI fashion shopping. With $50 million in funding and a team of retail-tech veterans, Daydream is using agentic AI to make online shopping feel natural, personal—and more sustainable.
For all the industry's talk of innovation, shopping for fashion online still feels stuck in 2013: dropdown menus, broken filters, and endless scroll. Even as brands tout ⁘personalization,⁘ return rates remain sky-high, and shopping often feels more like work than discovery.
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