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AI-Powered Digital Fittings

Contactless Fit Supports Clothing Stores Reopening Post-COVID

— May 14, 2020 — Business
Over the last few years, online retailers have been continually improving the digital fitting technology they use to minimize returns and make sure that consumers have an understanding of how garments purchased online will fit. Now, retail stores are adopting similar technology so that shoppers don't need to try on any actual pieces of clothing before making a purchase.

For a post-COVID world, Bold Metrics announced Contactless Fit to support brick-and-mortat clothing stores that want to offer a safe experience, especially as fitting stores are expected to remain closed—or perhaps be phased out entirely. With Contactless Fit, customers answer a few questions and machine learning algorithms do the work of predicting the best size for them.


Image Credit: Bold Metrics
Trend Themes
1. Contactless Fitting Technology - Fashion tech startups can invest in AI-powered contactless fitting technology to cater to the needs of customers who prefer a safe and hassle-free experience while shopping.
2. Smart Retail Stores - Smart retail stores can adopt contactless fit technology and deliver an exceptional customer experience by combining AI-driven sizing recommendations and personalised product suggestions.
3. Improved Customer Experience - Retail companies can leverage AI-powered digital fittings to provide an engaging shopping experience to their customers, reducing the number of returns due to sizing issues and winning loyalty as a result.
Industry Implications
1. Retail - Retailers can use contactless fitting technology to monitor customer preferences, optimize inventory, and increase sales by using trending data
2. Fashion - Fashion designers can use digital fitting technology to create customized garments, providing a high-quality shopping experience to their clients.
3. Artificial Intelligence - AI startups can create intelligent algorithms that can predict the body measurements of customers accurately, improving the accuracy of the predictions and expanding the reach of the industry.
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