Sustainable Business Practices

The Fast Fashion Problem

Close your eyes and think about where the highest-quality and even luxury brands get their clothing from. If you guessed China, you are in the right ballpark. In this economy, Chinese manufacturers produce clothing faster, better, more affordable, and in mass quantity. Your most "luxurious" Western brands are made where? What "American Dream"? Dreams are Made in China.

You can make the argument for Italian, French, Spanish, or German designers; however, the vast majority of consumers cannot maintain a spending habit there for long. The big goal here is to consistently find quality that North America has no access to, through AI automation, at a fraction of the price. Software Mining for Winning Deals.

North American brands try to sell you "Fashion", but we fail to recognize its low quality, or rather, we have nowhere else to shop. "Just spend more money" is not a viable tech solution long-term. Consumers deserve to spend less in the economy while receiving higher quality goods.

Fast fashion is a societal problem—thank you Private Equity and Corporate Greed. But what consumers can do is make a conscious choice of what and where they are buying.

Market Trends and Sustainability

The market size for "Vintage" and "Used-Apparel" is expected to grow to $300 billion+ by 2027, which seems illogical since quality of goods decline with time—but it's not, because the quality of goods from the 70's, 80's, and 90's still exceed the quality of any store today. The size of fast-fashion is $150 billion+ in retrospect.

The growing market trend amongst Gen Z caters towards having all styles "in-fashion", due to increasing awareness that the polyester landfill in Asia can be seen in space by NASA. This market trend suggests that amongst this demographic, Gen Z are the most likely to care about quality > quantity; a form of societal retaliation against Shein, H&M, ZARA, etc.

This industry as a whole expresses an immense desire to prioritize sustainability and an increasing business desire to not destroy the planet. We shouldn't destroy the world just yet. Gen Z values ESG the most here.

Our AI Solution: Flair Studio

The point of training a robot to learn fashion and "brand quality" is so that consumers do not obey society's fast-fashion rules. The robot should be able to think critically about shopping for you, allowing you to care about something more meaningful—like getting enough Vitamin D.

What am I wearing today? Is this good quality? How can I even trust top brands? (you can't, not for the past decades at least). Don't worry, virtual machine just figured it out. What am I supposed to wear, and how am I supposed to wear to this event? My robot just completed all the thinking for me... Done.

All of this foundational model thinking with OpenAI, and we can't even think for ourselves? Big Corporations are unlikely to listen to small consumers complain about the quality of goods. They are trying to increase the pacing of products globally through software, instead of its quality.

Our Approach

At Flair, we are trying to retaliate against fast-fashion "data-system pipelines" using our software that picks up on quality & design. We want to sell time. The time it takes you to never find quality or good-enough clothes.

As the Luxury industry continues to grow, more consumers are becoming increasingly aware that the price-value proposition for luxury is mismatched. For example, the highest silk quality Dior t-shirt currently ($400-$700) costs the premium Chinese factory roughly $38.50 to produce.

If you knew where quality came from, would you shop differently? Or continue to be blind?