caac second research institute News

Helium 10 Offers Amazon Sellers Peak Season Sales Strategies

This article introduces how to leverage Helium 10 to discover trending keywords and products during Amazon's peak season, aiming to boost store traffic and sales. By utilizing Magnet for keyword research and Black Box for product selection, sellers can accurately identify market demands, choose potential products, and optimize Listing keywords. This approach helps sellers stand out in a highly competitive market by finding profitable niches and capitalizing on seasonal trends using data-driven insights from Helium 10's suite of tools.

12/30/2025 Logistics Industry Insights

Amazon Sellers Gain Sales With Eight Keyword Strategies

This article delves into eight key methods for Amazon keyword research, including leveraging Brand Analytics reports, detailed advertising report analysis, manual advertising keyword suggestions, search results page toolbar, Amazon search bar, competitor analysis, new product/industry/competitor keyword mining, and tools like Seller Sprite. It aims to help sellers systematically improve their keyword strategies, thereby enhancing product ranking and sales, and achieving greater success on the Amazon platform. This comprehensive approach empowers sellers to optimize their listings and drive more organic traffic.

12/30/2025 Logistics Encyclopedia

Amazon Sellers Gain Edge with Cerebros Keyword Tool

This article introduces how to utilize Helium 10's Cerebro tool for reverse ASIN keyword research to precisely identify high-converting organic keywords for Amazon products. It details Cerebro's usage, keyword filtering techniques, and how to optimize product listings using Amazon's Choice badge information. By leveraging these strategies, sellers can improve organic rankings and boost sales. The focus is on finding relevant keywords with high search volume and low competition to enhance product visibility and drive targeted traffic to your Amazon listings.

12/30/2025 Logistics Encyclopedia

Chinas AI Tutors Baidu and Alibaba Bots Tested for Learning

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.

12/30/2025 Logistics Industry Insights

Amazon Japan Expands Crossborder Ecommerce Opportunities

This article provides an in-depth analysis of the market potential, consumer habits, and product selection strategies for Amazon Japan. It highlights that while the Japanese market offers opportunities, it also presents challenges such as language and cultural differences, and increasing competition. The article recommends that sellers conduct thorough market research, develop localized operational strategies, and carefully evaluate the market before entering, in order to achieve success on Amazon Japan. Careful planning is key to navigating this unique e-commerce landscape.

12/30/2025 Logistics Industry Insights

Parttime Mom Becomes Amazon Best Seller in 15 Days

This article tells the story of a part-time mom who turned a new product into an Amazon Best Seller in just 15 days. Through in-depth research on product selection strategies, advertising techniques, and operational experience, she successfully achieved a part-time income that surpassed her main job. The article summarizes her successful experience and provides highly practical operational guidance for entrepreneurs who want to make money on Amazon. It offers valuable insights into effective product launching and management.