OpenAI's GPT Store is launching soon, offering developers a platform to monetize their AI creations. This article details the background and importance of the GPT Store, and explains how to create custom GPT assistants. It aims to help developers seize the opportunity and gain a first-mover advantage in AI monetization. Take action now to build your personalized GPT assistant and welcome the arrival of the AI gold rush era!
The evolution of distribution models in the aviation industry has profound implications due to GDS surcharges. In the future, conflicts between airlines and GDS providers may intensify.
Alibaba is internally testing its ChatGPT-like product, with Tmall Genie already integrating the technology for voice interaction. Alibaba continues to invest in AI, leveraging its strong technical capabilities and data resources. This positions them to potentially launch an AI assistant more suited to the Chinese language environment, offering users improved experiences and value. The age of artificial intelligence has arrived, and the future looks promising. Alibaba's efforts could significantly impact the Chinese AI landscape.
The explosion of ChatGPT heralds the arrival of the AI search era, profoundly impacting cross-border e-commerce in areas such as traffic acquisition, content marketing, efficiency improvement, data analysis, and personalized recommendations. Sellers should actively embrace AI technology, seize opportunities, and meet challenges to gain a leading position in future market competition. The integration of AI offers enhanced capabilities and a competitive edge for businesses operating in the global e-commerce landscape.
The Fmarketing Digital Marketing Summit & Awards Ceremony will be held in Beijing on December 23rd, focusing on the theme of "AI*Intelligence Transformation: Reshaping Marketing". The summit will bring together industry leaders to share AI applications in areas such as ad delivery and content creation, and explore intelligent marketing solutions. It aims to help companies seize opportunities in the AI era and navigate the evolving marketing landscape with data-driven insights and innovative strategies.
The international freight forwarding industry is undergoing a battle between digitalization and traditional models. Digitalization reduces costs but is limited by standards, responsibilities, and adaptability. Traditional models excel at risk management but require technological upgrades. In the future, companies should allocate capabilities in a layered manner to achieve a symbiosis of digitalization and traditional experience, building a more competitive service system to adapt to the rapidly iterating market. This balanced approach will allow freight forwarders to leverage the benefits of both approaches.
This study evaluates the application of ERNIE Bot (Wenxin Yiyan) and Qwen (Tongyi Qianwen) in the field of education. Tests in subjects like high school English and junior high school mathematics reveal that both models possess strengths and weaknesses, indicating room for improvement. The assessment highlights the current capabilities and limitations of these large language models in supporting educational tasks and providing personalized learning experiences. Further research and development are needed to optimize their performance and ensure their effective integration into educational settings.
The Association for Supply Chain Management (ASCM) released its 'Top 10 Trends for 2026' report, revealing that AI, trade dynamics, workforce evolution, resilience, and sustainability will reshape global supply chains. Businesses need to pay attention to these trends to build intelligent, resilient, and sustainable supply chains to meet future challenges. The report highlights the importance of adapting to changing trade landscapes and leveraging technology like AI to improve efficiency and visibility. Furthermore, building robust and flexible supply chains is crucial for navigating disruptions and ensuring long-term success.
Ryder partners with Terminal Industries to optimize logistics yard operations using AI technology. The pilot project leverages computer vision and machine learning to achieve precise vehicle information recognition and automated inventory capture, significantly improving efficiency and reducing costs. The collaboration plans to translate the pilot experience into commercial applications, leading the intelligent transformation of the logistics industry. This approach aims to streamline processes, enhance visibility, and ultimately create a more efficient and cost-effective supply chain ecosystem.
C.H. Robinson leverages AI-powered logistics solutions to optimize supply chains, reduce costs, and improve efficiency. The company uses AI to help clients navigate complex challenges such as tariffs and disruptions. By applying artificial intelligence, C.H. Robinson provides enhanced visibility, predictive analytics, and automation across the entire supply chain, enabling businesses to make data-driven decisions and achieve significant improvements in their logistics operations. This AI-driven approach helps companies to be more agile and resilient in a rapidly changing global market.
