人工智能（AI）如何改變零售供應鏈

人工智能（AI）正在迅速改變行業，但在零售業中，供應鏈優化的影響最大。

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）正在迅速改變行業，零售也不例外。實際上，在零售供應鏈中看到了AI的一些最具影響力的應用。 NVIDIA是AI硬件解決方案的領先提供商，在此轉換中起著關鍵作用。

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.

通過將其先進的加速軟件與硬件解決方案相結合，NVIDIA正在使諸如L'Oréal和Walmart之類的零售巨頭在其供應鏈運營中實現前所未有的效率和創新。以下是這些公司如何使用NVIDIA技術來徹底改變其零售系統的方式。

L’Oréal: Generative AI for Creative Marketing

歐萊雅：創造性營銷的生成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.”

歐萊雅（L'Oréal）正在使用NVIDIA技術來為簡化營銷內容創建的生成AI工具供電。借助NVIDIA的AI平台，L'Oréal員工可以使用簡單的自然語言提示將標準產品圖像轉換為視覺上令人驚嘆的資產。例如，它們可以通過輸入諸如“在此圖像的背景中添加粉紅色的，反射的幾何形狀”之類的命令來添加動態的反射背景。

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.

這項技術使L'Oréal能夠快速為社交媒體和營銷活動創建專業級別的視覺效果。它可以節省時間並降低生產成本，同時保持創造性的靈活性，這對於像L'Oréal這樣的公司而言至關重要的方面，需要不斷地適應快速變化的美容行業景觀。

Walmart: AI-Enhanced Shopping Experiences and Operations

沃爾瑪：AI增強購物體驗和運營

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

沃爾瑪（Walmart）採用了AI來增強其面向客戶的體驗和後端操作。

AI-Powered Shopping Assistant

AI驅動的購物助理

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.

為了改善在線客戶體驗，沃爾瑪介紹了AI驅動的購物助理Wallaby。旨在使搜索和發現對客戶無縫的產品，袋鼠的功能像店內助理一樣，但有24/7的可用性。它提供了個性化的幫助，以增強電子商務和移動購物體驗。

Advanced Inventory and Allocation Systems

高級庫存和分配系統

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.

在運營方面，沃爾瑪利用NVIDIA的數據科學加速庫來完善庫存管理。通過處理大量數據集，沃爾瑪現在可以預測數百萬的SKU並每週進行存儲組合。即使在預測準確性方面的略有提高也可以轉化為沃爾瑪規模的零售商的大量成本和效率。

Digital Twin Technology: The Future of Supply Chains

數字雙技術：供應鏈的未來

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最近的另一個發展是Mega，這是一種Omniverse藍圖，展示了數字雙胞胎技術的潛力。在倉庫和分銷中心，Mega模擬了機器人，自動化系統和人類工人之間的相互作用。

Simulating Warehouse Scenarios

模擬倉庫場景

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:

使用數字雙胞胎，零售商可以測試數千個假設場景，以優化操作，而不會造成任何現實世界中斷。從機器人培訓到佈局變化，數字雙胞胎使企業能夠：

Visualize and analyze warehouse operations in real-time

實時可視化和分析倉庫操作

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

測試和優化不同的方案，例如機器人路徑或庫存分配策略

Identify and resolve potential issues before they impact physical operations

在影響身體操作之前識別和解決潛在的問題

Saving Time and Capital Through Virtual Testing

通過虛擬測試節省時間和資本

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.

在測試佈局變化或物理世界中的新過程時，收集可行的數據可能需要數週或幾個月的時間。 NVIDIA的仿真工具消除了這一延遲，為企業提供了更快，具有成本效益的創新方式。

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.”

通過實際上優化倉庫設計和流程，公司可以避免昂貴的破壞並最大程度地提高對AI和機器人技術的投資。正如NVIDIA的馬丁（Martin）所解釋的那樣，“對佈局進行更改是非常重大和破壞性的……在進行這些更改之前，模擬不同的佈局至關重要。”

The Impact on Retail Supply Chains

對零售供應鏈的影響

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.

精確的預測，無縫庫存管理和高效的倉庫運營只是AI在零售供應鏈中的潛力。 NVIDIA的創新確保了像沃爾瑪這樣的零售商可以在正確的時間向正確的位置運送正確的產品，從而為更聰明，更敏捷的供應鏈鋪平了道路。

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

隨著AI繼續塑造零售景觀，NVIDIA的技術正在推動整個行業的效率和創新的未來。