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Apolo > 实例探究 > AI 生成的影响者产品镜头:利用 Dianthus 扩展 D2C 品牌
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AI-Driven Ecommerce Growth: Dianthus Case Study

技术
  • 传感器 - 自动驾驶传感器
  • 传感器 - 全球定位系统
适用行业
  • 化学品
  • 教育
适用功能
  • 产品研发
  • 销售与市场营销
用例
  • 室内定位系统
  • 现场人员安全管理
服务
  • 云规划/设计/实施服务
  • 培训
挑战
Dianthus 在创建适合电子商务产品营销社交共享的独特视觉营销资产方面面临瓶颈。
关于客户
Dianthus 是世界上唯一一家人工智能优先的电子商务公司,专门通过超个性化的营销策略和以人工智能为中心的工作流程来发展 D2C 品牌。
解决方案
解决方案是创建一个复杂的人工智能计算机视觉系统,该系统可以生成独特的照片,包括计算机生成的自然背景下的人类或动物模型,该系统还包含 D2C 产品。
运营影响
  • The solution developed by Neu.ro for Dianthus has revolutionized the creation of visual marketing assets for ecommerce product marketing. The AI-driven system can generate unique photographs suitable for social sharing, significantly reducing the manual effort previously required. The system can create images featuring computer-generated human or animal models against naturalistic backgrounds, incorporating the D2C product. The solution has also enabled Dianthus to create a unique machine learning and data pipeline that incorporates multiple processes, allowing for results to progress through various stages of refinement to deliver a finished photo result that is attractive and natural-looking enough to share on social media. This has significantly improved the efficiency and effectiveness of Dianthus' marketing efforts.

数量效益
  • 100% of development and training was accomplished on Neu.ro’s 100% zero-emissions Green AI Cloud, powered by the latest NVIDIA GPUs.

  • Neu.ro saw improvements in training times for all models compared to using V100 GPUs on AWS, sometimes as high as 40% faster.

相关案例.

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