Revolutionizing Fashion with AI: A Look into a Sustainable Future

At Looks.clothing, we're at the forefront of the AI revolution in fashion. We're proud to contribute a unique dataset, aiming to transform fashion into a more sustainable industry.

Our innovative Looks AI platform stands out in the fashion tech landscape. It's not just about tracking purchases – we delve deeper. By understanding the influences behind purchases, addressing customers' pain points, and even peeking into their existing wardrobes, we aim to redefine digital peer groups and identify their influencers, focusing on fit and personalization.

This approach is rooted in significant research. Studies show that personalization significantly impacts consumer behavior:

• 44% of consumers are more likely to become repeat customers with personalized experiences.(")
• 49% of shoppers purchased items they didn't initially intend to buy after receiving a personalized recommendation. (")
• 40% of U.S. consumers are more likely to spend more than planned with a highly personalized shopping experience. (")
• User-generated content significantly impacts purchase behavior, with a 91.4% lift in conversion when visitors interact with user-generated imagery. (")
• Peer-to-peer marketing drives 20%-50% of all purchases, with 82% of consumers actively seeking recommendations before purchasing. (")

Our data confirms that peer-to-peer engagement is reshaping shopping. This shift is critical as customer behaviors evolve. Retailers failing to adapt may see a decline in sales. The influence of bloggers, social influencers, and celebrities has evolved over time, with peer influence now taking center stage.

(For the sake of this article we consider peer to be you digital doppelganger with similar body type, size, shape or style)

As a Fit Technology expert, I've seen how fit, size, and comfort drive sales, and conversely, how poor fit leads to returns and unsold inventory. Our focus on non-standard sizing – a market segment worth $22 billion – includes petite, plus-size, tall, and athletic body types often overlooked by standard sizing. This focus is essential, given the impact of fit on returns and inventory:

• 64% of apparel and 57% of footwear returns are due to poor fit.
• 34% of shoppers are dissatisfied with traditional clothing sizes.
• 22-25% of all purchases are returned.
• 85% of clothing and 72% of footwear shoppers would buy more with a guaranteed fit.
• Proper fit could reduce the $62 billion annual returns in fashion and $50 billion in dead inventory. (")

My extensive experience in retail, both as a VIP personal shopper at Nordstrom and early Shopify entrepreneur, has shown me the importance of representing diverse body types in marketing and product offerings.

Looks.clothing is the culmination of years of research and experience. We're not just rewarding conversion drivers; we're building a comprehensive dataset to aid brands and retailers in better merchandising and product development.

Our vision of sustainability is about creating a perfect match between people and products. This approach ensures higher conversion rates, irrespective of the spending power or timing of the discovery.

We recognize the broader context of AI in fashion. Innovations like Cornell's iMaterialist Dataset and tools like Google Lens and Syte.AI are shaping the industry. Our goal is to complement these technologies with our insights, enhancing consumer experiences through a focus on preferences and size/fit nuances.

As AI makes its mark in fashion, our contribution lies in fostering a sustainable and equitable future. We're currently seeking retail partners interested in elevating their sales strategies through our platform. This approach not only generates valuable data but also boosts sales, particularly during slower periods.

Retailers interested in this collaborative journey towards a more personalized and sustainable future in fashion are encouraged to connect with us.