人工智能（AI）如何改变零售供应链

人工智能（AI）正在迅速改变行业，但在零售业中，供应链优化的影响最大。

Artificial intelligence (AI) is rapidly transforming industries, and retail is no exception. In fact, some of the most impactful applications of AI are being seen in the retail supply chain. Nvidia, a leading provider of hardware solutions for AI, is playing a key role in this transformation.

人工智能（AI）正在迅速改变行业，零售也不例外。实际上，在零售供应链中看到了AI的一些最具影响力的应用。 NVIDIA是AI硬件解决方案的领先提供商，在此转换中起着关键作用。

By combining its advanced acceleration software with its hardware solutions, Nvidia is enabling retail giants like L’Oréal and Walmart to achieve unprecedented efficiency and innovation in their supply chain operations. Here's a closer look at how these companies are using Nvidia technology to revolutionize their retail systems.

通过将其先进的加速软件与硬件解决方案相结合，NVIDIA正在使诸如L'Oréal和Walmart之类的零售巨头在其供应链运营中实现前所未有的效率和创新。以下是这些公司如何使用NVIDIA技术来彻底改变其零售系统的方式。

L’Oréal: Generative AI for Creative Marketing

欧莱雅：创造性营销的生成AI

L’Oréal is using Nvidia technology to power generative AI tools that streamline marketing content creation. With Nvidia's AI platform, L’Oréal employees can use simple natural language prompts to transform standard product images into visually stunning assets. For instance, they can add dynamic, reflective backgrounds to plain product images by inputting commands like, “Add pink-hued, reflective geometric shapes into the background of this image.”

欧莱雅（L'Oréal）正在使用NVIDIA技术来为简化营销内容创建的生成AI工具供电。借助NVIDIA的AI平台，L'Oréal员工可以使用简单的自然语言提示将标准产品图像转换为视觉上令人惊叹的资产。例如，它们可以通过输入诸如“在此图像的背景中添加粉红色的，反射的几何形状”之类的命令来添加动态的反射背景。

This technology enables L’Oréal to quickly create professional-grade visuals for social media and marketing campaigns. It saves time and reduces production costs while maintaining creative flexibility—a crucial aspect for a company like L’Oréal that constantly needs to adapt to the fast-changing beauty industry landscape.

这项技术使L'Oréal能够快速为社交媒体和营销活动创建专业级别的视觉效果。它可以节省时间并降低生产成本，同时保持创造性的灵活性，这对于像L'Oréal这样的公司而言至关重要的方面，需要不断地适应快速变化的美容行业景观。

Walmart: AI-Enhanced Shopping Experiences and Operations

沃尔玛：AI增强购物体验和运营

Walmart has adopted AI to enhance both its customer-facing experiences and backend operations.

沃尔玛（Walmart）采用了AI来增强其面向客户的体验和后端操作。

AI-Powered Shopping Assistant

AI驱动的购物助理

To improve online customer experiences, Walmart introduced Wallaby, an AI-driven shopping assistant. Designed to make searching and discovering products seamless for customers, Wallaby functions like an in-store associate but with 24/7 availability. It provides personalized assistance to enhance e-commerce and mobile shopping experiences.

为了改善在线客户体验，沃尔玛介绍了AI驱动的购物助理Wallaby。旨在使搜索和发现对客户无缝的产品，袋鼠的功能像店内助理一样，但有24/7的可用性。它提供了个性化的帮助，以增强电子商务和移动购物体验。

Advanced Inventory and Allocation Systems

高级库存和分配系统

On the operational side, Walmart leverages Nvidia's data science acceleration libraries to refine inventory management. By processing massive datasets, Walmart can now forecast millions of SKU and store combinations on a weekly basis. Even a small improvement in forecast accuracy translates into significant cost savings and efficiency for a retailer of Walmart's scale.

在运营方面，沃尔玛利用NVIDIA的数据科学加速库来完善库存管理。通过处理大量数据集，沃尔玛现在可以预测数百万的SKU并每周进行存储组合。即使在预测准确性方面的略有提高也可以转化为沃尔玛规模的零售商的大量成本和效率。

Digital Twin Technology: The Future of Supply Chains

数字双技术：供应链的未来

Another recent development from Nvidia is Mega, an Omniverse blueprint that showcases the potential of digital twin technology. In warehouses and distribution centers, Mega simulates the interactions between robots, automated systems, and human workers.

Nvidia最近的另一个发展是Mega，这是一种Omniverse蓝图，展示了数字双胞胎技术的潜力。在仓库和分销中心，Mega模拟了机器人，自动化系统和人类工人之间的相互作用。

Simulating Warehouse Scenarios

模拟仓库场景

Using digital twins, retailers can test thousands of hypothetical scenarios to optimize operations without causing any real-world disruptions. From robot training to layout changes, digital twins enable businesses to:

使用数字双胞胎，零售商可以测试数千个假设场景，以优化操作，而不会造成任何现实世界中断。从机器人培训到布局变化，数字双胞胎使企业能够：

Visualize and analyze warehouse operations in real-time

实时可视化和分析仓库操作

Test and optimize different scenarios, such as robot paths or inventory allocation strategies

测试和优化不同的方案，例如机器人路径或库存分配策略

Identify and resolve potential issues before they impact physical operations

在影响身体操作之前识别和解决潜在的问题

Saving Time and Capital Through Virtual Testing

通过虚拟测试节省时间和资本

While testing layout changes or new processes in the physical world, it can take weeks or months to gather actionable data. Nvidia's simulation tools eliminate this delay, offering businesses a faster, cost-effective way to innovate.

在测试布局变化或物理世界中的新过程时，收集可行的数据可能需要数周或几个月的时间。 NVIDIA的仿真工具消除了这一延迟，为企业提供了更快，具有成本效益的创新方式。

By virtually optimizing warehouse designs and processes, companies can avoid costly disruptions and maximize their investment in AI and robotics. As Nvidia's Martin explains, “Making changes in layouts is very capital intensive and disruptive…Simulating different layouts before making those changes is critical.”

通过实际上优化仓库设计和流程，公司可以避免昂贵的破坏并最大程度地提高对AI和机器人技术的投资。正如NVIDIA的马丁（Martin）所解释的那样，“对布局进行更改是非常重大和破坏性的……在进行这些更改之前，模拟不同的布局至关重要。”

The Impact on Retail Supply Chains

对零售供应链的影响

Precise forecasting, seamless inventory management, and efficient warehouse operations are just a glimpse of AI's potential in retail supply chains. Nvidia's innovations ensure that retailers like Walmart can consistently deliver the right products to the right locations at the right time, paving the way for smarter, more agile supply chains.

精确的预测，无缝库存管理和高效的仓库运营只是AI在零售供应链中的潜力。 NVIDIA的创新确保了像沃尔玛这样的零售商可以在正确的时间向正确的位置运送正确的产品，从而为更聪明，更敏捷的供应链铺平了道路。

As AI continues to shape the retail landscape, Nvidia's technologies are driving the future of efficiency and innovation across the industry.

随着AI继续塑造零售景观，NVIDIA的技术正在推动整个行业的效率和创新的未来。