Thirty percent of all clothes go straight from the factory to the landfill without ever being worn. Zoher Karu, Head of AI at Taelor, built an AI-powered styling platform that tackles this sustainability crisis while solving what he calls "the matching problem" for men's fashion. In this episode of Lead with AI, Dr. Tamara Nall speaks with Zoher about how Taelor learns your preferences, body type, and calendar to deliver outfits that build confidence and reduce waste. Zoher shares how the platform processes data like a brain driving down the street, evaluating weather, upcoming events, fit preferences, and style compatibility simultaneously. One customer landed a job because the right outfit gave him confidence in the interview. Taelor combines machine learning with human oversight, renting clothes to users who can keep favorites and return the rest, creating feedback loops that tell manufacturers what men actually want to wear. For anyone curious about how AI transforms everyday decisions while making the world more sustainable, Zoher explains what happens when algorithms understand style better than most humans.

Want to experience AI-powered personal styling? Visit taelor.ai to sign up and access Taelor's machine learning platform that matches your style, fits your calendar, and builds confidence through better fashion choices.

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Follow Dr. Tamara Nall:

LinkedIn: @TamaraNall | Website: TamaraNall.com | Email: [email protected]

Follow Zoher Karu: LinkedIn: @ZZKaru | Facebook: Zoher.Karu | Email: [email protected]

Taelor AI: Website: Taelor.Style