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Sizing
Sizing tools are innovative software solutions tailored for direct-to-consumer (DTC) brands, particularly in the fashion and apparel sector. These tools help customers find the correct size for clothing or footwear through various technologies like AI-driven algorithms, virtual fitting rooms, and size prediction based on customer data inputs. Key functionalities include interactive size charts, personalized size recommendations, and virtual try-on features.
For DTC brands, sizing tools are crucial in reducing the common challenge of online size and fit uncertainty. They enhance the shopping experience by providing customers with confidence in their size selections, leading to higher satisfaction and reduced return rates. Accurate sizing assistance is also instrumental in building customer trust and loyalty, as it demonstrates a brand's commitment to customer satisfaction.
Popular tools in this category include Fit Analytics and True Fit. Fit Analytics stands out for its data-driven approach, using machine learning to recommend sizes based on customer inputs and purchase history. True Fit is another popular choice, known for its comprehensive database of garment specifications and body modeling technology. Both tools are highly regarded for their accuracy in size prediction and their integration with various e-commerce platforms, making them essential for DTC brands aiming to optimize the online shopping experience and minimize size-related returns.
If you’re in the apparel space, you must be extremely clear with your sizing. For that, you’ll need tooling. Kiwi is a popular mid-market solution, and WAIR’s more of a fit for the multi-million dollar brands. See the list here.
Created in collaboration with fashion industry leaders, Modi offers a suite of tools to enhance the online shopping journey including virtual fitting technology, data-analytics, and product reviews with built-in feedback loops. With Modi, brands can provide personalized size recommendations to boost conversions and reduce returns, collect testimonials to build social proof, and leverage insights that optimize inventory management and design processes.