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Up Close: In Conversation With Gaia Dynamics CEO Emil Stefanutti

Up Close is Sourcing Journal’s regular check-in with industry executives to get their take on topics ranging from their company’s latest moves to personal style. In this Q&A, Emil Stefanutti, co-founder and CEO of artificial intelligence-powered trade compliance platform Gaia Dynamics, shares what fashion could borrow from automakers’ playbooks to produce more sustainably and how his company is helping firms plan for different tariff scenarios.  

Name: Emil Stefanutti
Title: Co-founder and CEO
Company: Gaia Dynamics

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Which other industry has the best handle on the supply chain? What can apparel learn?

The automotive industry has mastered supply chain management with the help of artificial intelligence (AI), automation and predictive analytics. Automakers use just-in-time manufacturing, real-time tracking and advanced demand forecasting to optimize production, minimize waste and mitigate disruptions.

The fashion industry, in contrast, often struggles with overproduction, supply chain inefficiencies and unexpected delays. By taking inspiration from the automotive sector, apparel brands can adopt AI-driven forecasting to better predict demand, reducing excess inventory and preventing stockouts. Real-time tracking of materials and shipments can enhance visibility, making it easier to anticipate delays and adjust accordingly. Additionally, diversifying suppliers and using predictive analytics can help companies navigate trade disruptions and tariff fluctuations, creating a more resilient sourcing strategy.

Embracing these data-driven approaches would not only improve efficiency and lower costs but also move the fashion industry toward a more sustainable future.

What should be the apparel industry’s top priority right now?

In an era of increasing trade regulations, tariff complexities and global disruptions, the apparel industry must prioritize supply chain resilience and compliance automation. AI-driven solutions offer a way forward, helping brands streamline operations and mitigate risk.

Automating trade compliance can significantly reduce costs by ensuring accurate product classification and real-time regulatory monitoring, minimizing the risk of misclassification penalties. At the same time, predictive analytics can enhance supply chain visibility, allowing companies to anticipate disruptions and optimize sourcing strategies. Beyond efficiency, sustainability and ethical sourcing have become essential, requiring brands to comply with environmental and labor regulations while improving transparency.