In this episode, Glynis speaks with Michael “Mike” Klein, Director of Revenue and E-Commerce at Avease, an AI-powered virtual try-on and fit platform for fashion e-commerce brands. Drawing on more than a decade of experience in apparel sales, distribution, brand development and e-commerce, Mike explains why fit uncertainty remains one of online fashion’s biggest conversion challenges. Together, they discuss the true cost of returns, where the customer journey breaks down between search and sale, why many virtual try-on tools only solve half the problem, and how garment-specific sizing recommendations can help customers make more confident purchasing decisions. Whether you’re building a growing fashion brand or looking for ways to improve conversion and reduce returns, this conversation offers practical insights into the future of fit and fashion e-commerce.

About Michael Klein

Michael “Mike” Klein is the Director of Revenue and E-Commerce at Avease, an AI-powered virtual try-on and fit platform for fashion e-commerce.

Before joining Avease, Mike spent more than a decade working in apparel sales, distribution and brand development, helping fashion brands grow across Canada and international markets. That experience gave him a firsthand view of the challenges brands face with sizing, returns, inventory and online conversion.

At Avease, Mike works with fashion brands to improve fit confidence by helping shoppers understand how an item may look on them and which size is right for them before they buy. Mike is based in Toronto, Canada.

Connect with Michael

Website: avease.ai

LinkedIn: Michael Klein

Email: michael@avease.ai

Key Takeaways

  • Generating traffic is only half the job. The customer journey can still break down on the product page when shoppers cannot answer one essential question: “Will this fit me?”
  • Returns are often a symptom of uncertainty before the purchase. Inconsistent sizing, limited fit information and uncertainty about how a garment will look can cause customers to guess.
  • Free returns may remove friction at checkout, but they can also encourage shoppers to order multiple sizes and decide what to keep later—creating a costly margin problem for brands.
  • Many virtual try-on tools solve only half the problem. A visual without sizing guidance is still a guess, while a size recommendation without a visual may be difficult for the shopper to trust.
  • Effective fit technology should combine a realistic visual experience with a recommendation based on the measurements of the specific garment—not a general brand or category size chart.

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