基本信息
- 来源: blogs_podcasts
- 原始来源: https://aws.amazon.com/blogs/machine-learning/building-a-scalable-virtual-try-on-solution-using-amazon-nova-on-aws-part-1
来源摘要/节选
公开展示已截断至最多 800 个字符;请访问原始来源查看完整上下文。
In this first post in a two-part series, we examine how retailers can implement a virtual try-on to improve customer experience. In part 2, we will further explore real-world applications and benefits of this innovative technology.
Every fourth piece of clothing bought online is returned to the retailer, feeding into America’s $890 billion returns problem in 2024. Behind these numbers lies a simple truth: shoppers can’t judge fit and style through their screens. Among the top reasons for returned fashion items are poor fit, wrong size, or style mismatch.
Retailers face a critical challenge in that their most valuable customers often return the most items, forcing them to maintain generous return policies despite steep processing costs and environmental impact.…
来源说明
当前只保存了公开页面节选,不代表原文全文。请以原始来源为准。
本页只呈现已做哈希绑定的来源证据,不包含基于旧正文或缺失原文的扩展推断。