The logistics industry has experienced a gap between expectations and reality in the application of AI. While AI has been implemented in specific areas, overall operational transformation still faces numerous challenges. Variations in digitalization levels and real-world constraints make it difficult for companies to fully integrate AI. Establishing foundational work is crucial to achieving the vision for AI.
This article explores the application and impact of AI technology in the logistics industry, analyzing its effects on traditional job displacement and the emergence of new roles. It offers strategies for logistics professionals to cope with the challenges posed by AI, including how to leverage AI to enhance work efficiency and transition into AI-driven management positions.
A collaboration and communication event focusing on breaking through in the Enterprise AI sector will be held in Guangzhou on January 24, 2026. The event will focus on implementable AI projects, aiming to connect AI technology providers with demanders. Discussions will revolve around the practical application of AI in enterprise scenarios, assisting companies in transformation and upgrades, improving efficiency, and reducing costs. This event provides a platform for fostering partnerships and driving the adoption of AI solutions within businesses.
Prologis met with the U.S. Secretary of the Interior to discuss energy, AI, and supply chains. The discussion emphasized the importance of energy for AI development, suggesting that AI factories should be located near energy sources. The meeting highlighted the need to increase energy supply to meet the growing demands of AI. The conversation likely touched upon strategic considerations for ensuring sustainable and reliable energy access to support the expansion of AI infrastructure and related supply chain logistics.
In the age of AI, brand visibility is influenced by videos, mentions, and search results. Traditional SEO has limited impact due to varying AI recognition logics. Businesses should prioritize content and interaction, collaborating with AI platforms to enhance their visibility. This involves creating engaging content that resonates with AI algorithms and fostering meaningful interactions that boost brand presence. By understanding and adapting to the evolving AI landscape, companies can effectively increase their brand's visibility and reach their target audience.
This article highlights six essential efficiency tools for Coupang operations. These tools cover shipping cost calculation, precise pricing, image translation, product selection analysis, Korean translation, and white background image creation. They are designed to help sellers improve operational efficiency and succeed in the Korean e-commerce market. By leveraging these tools, sellers can streamline their workflows, optimize pricing strategies, and enhance product presentation, ultimately boosting sales and maximizing profitability on the Coupang platform.
This article focuses on three core elements of Amazon Listing optimization: main image, title, and category selection. It emphasizes that the main image should be original and highlight selling points. The title should include six key elements such as brand name and keywords. Category selection requires referencing competitors and continuous optimization. Readers are encouraged to delve deeper into Listing optimization techniques by reading 'The Growth Flywheel' to help create best-selling products.
This article provides a detailed interpretation of Naver Shopping's new logistics rules. Addressing the challenges faced by sellers, it offers a practical guide to bulk-editing logistics information. Furthermore, it proposes data-driven recommendations for optimizing logistics management, aiming to help sellers improve operational efficiency and enhance customer experience. The article focuses on practical solutions and insights to navigate the evolving landscape of e-commerce logistics within the Naver ecosystem, ultimately leading to better performance and customer satisfaction.
This article details two methods for modifying Amazon categories: directly editing the Listing and opening a case for support. It also provides an in-depth analysis of how to use Amazon Brand Analytics and competitor analysis to make precise category selections, thereby improving Listing exposure and conversion rates. Accurate category selection is a crucial step in creating a successful, high-selling Listing. Choosing the right category helps customers easily find your product and increases your chances of sales.
This article details the steps to add products to your Bing Shopping Ads campaign. It covers key aspects such as logging into the platform, selecting the campaign, editing product groups, selecting new products, and setting bids. This guide helps advertisers flexibly adjust their targeting strategies and capitalize on sales opportunities by adding specific products to their Bing Shopping Ads campaigns. The process allows for granular control over product visibility and budget allocation within the Bing Ads ecosystem.
