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  3. Meitu Company: AI Product Images and AI Model Try-On Features Have Served Over 1.5 Million E-commerce Users
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Meitu Company: AI Product Images and AI Model Try-On Features Have Served Over 1.5 Million E-commerce Users

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  • baoshi.raoB Offline
    baoshi.raoB Offline
    baoshi.rao
    wrote on last edited by
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    Meitu officially stated that Meitu Design Studio won dual-track championships in the 2023 Taobao Tmall Open Ecosystem AIGC Challenge.

    During the competition, Meitu Design Studio's 'AI Product Images' feature left a deep impression on the expert judges, with its effects and efficiency leading the industry. By taking a single product photo, users can achieve intelligent and refined image creation. The AI generates multiple realistic product scenarios, significantly improving efficiency while enhancing authenticity.

    Meitu revealed that since its launch in April, AI Commercial Photography (including AI Product Images & AI Model Try-On) has served over 1.5 million e-commerce users. Several features have reduced the design time from 3 days to just 10 seconds—a 25,000-fold efficiency improvement—and generated 18 million product images in total. At an estimated design cost of 100 RMB per image, this has saved businesses approximately 1.8 billion RMB, greatly boosting productivity in the e-commerce industry.

    WeChat Screenshot_20231107154413.png

    Leveraging Meitu's AIGC technology, Meitu Design Studio's 'E-commerce Marketing Posters' and 'Smart Cutout' features have also achieved significant results in 2023.

    The 'E-commerce Marketing Posters' templates saw a 600-fold increase in creation speed compared to last year, reducing the time from several days to just 10 seconds. Over 40 million marketing materials have been designed, efficiently meeting the diverse needs of different businesses.

    For the 'Smart Cutout' feature, taking the platform 'Shihuo' as an example, before integrating Meitu Design Studio's API, designers took an average of 2 minutes to cut out a single image, with the team processing about 2,000 to 3,000 images per day. After integration, AI-powered batch processing reduced the time to less than 1 second per image—a 120-fold efficiency boost. With AI support, the team now handles around 30,000 images daily, improving efficiency by over 10 times.

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