What's New in Fashion Tech: 2025 and Beyond

Data analytics is transforming how fashion companies understand consumer behavior and manage their operations. By leveraging big data, brands can gain insights into customer preferences, predict trends, and personalize the shopping experience. Here are some key tools and trends in data-driven fashion:‍

• ‍Advanced analytics platforms: Services like SAIZ' analytics platform offer deep insights into sizing and fit behaviors, helping brands optimize product offerings and reduce returns. By understanding demographics, purchasing behaviors, and return reasons, brands can make data-driven decisions that enhance customer satisfaction and profitability

• ‍AI-powered personalization: Artificial Intelligence (AI) is being used to personalize the shopping experience. Powered by AI, tools like the SAIZ Recommender match customer and product data to provide personalized recommendations, improving conversion rates, return rates, and customer loyalty.

Virtual Reality (VR) and Augmented Reality (AR) are becoming integral parts of the fashion shopping experience

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• ‍Virtual try-ons: Virtual try-on solutions, such as Extendra Tailo, enable customers to visualize how products will look and fit without physically trying them on. This reduces the uncertainty associated with online shopping and helps decrease return rates.

• VR shopping experience: Immersive 3D retail store experiences like Emperia allow shoppers to explore virtual stores as if they were physically there, offering a richer sense of product presence and engagement.

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3D and digital sampling

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3D design and digital sampling are revolutionizing the product development process, making it faster, cheaper, and more sustainable.

• 3D design software: Tools like CLO 3D and Browzwear enable designers to create and visualize garments in a virtual environment. This allows for rapid prototyping and iteration, reducing the need for physical samples.

• Digital sampling: Digital sampling technology allows brands to create realistic digital versions of their products. For instance, GAT Fashion Lab has developed a solution that speeds up the development process and also reduces waste and costs associated with producing physical samples.

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Sizing technology

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Accurate sizing is a major challenge in the fashion industry, but new technologies are making it easier to ensure a perfect fit.

• Body scanning: 3D body scanner solutions like 3DLook provide precise measurements, which can be used to create custom-fitted clothing. This is particularly useful for bespoke and made-to-measure brands.

• Dynamic size charts: Tools like SAIZ' dynamic size charts offer product-specific size charts, helping customers choose the right size based on their measurements. This reduces the likelihood of returns due to sizing issues.

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As we look to the future, several trends are set to shape the fashion industry:

• Sustainability: Technology will play a crucial role in making fashion more sustainable. From reducing waste through digital sampling to using AI for efficient inventory management, sustainability will be at the forefront of innovation.

• Hyper-personalization: With advances in AI and data analytics, brands will be able to offer highly personalized shopping experiences. This will include personalized recommendations, custom-fitted clothing, and personalized marketing messages.

• Integrated shopping experiences: The line between online and offline shopping will continue to blur. Technologies like AR, VR, and mobile apps will create seamless shopping experiences that integrate digital and physical retail.

• Blockchain for transparency: Blockchain technology will be used to ensure transparency in the supply chain. This will help brands build trust with consumers by providing information about the origin and journey of their products.