
Combined with Google Shopping Graph, you can get product recommendations and specification comparisons through conversations
Google launched the Chinese version of Gemini shopping function in Taiwan, which uses AI and shopping map technology to help consumers describe their needs through conversations and quickly obtain product recommendations, price comparison tables and specification analysis, greatly simplifying the cross-platform search and decision-making process.
AI-generated summary
Google CEO Sundar Pichai once pointed out at the NRF conference that consumers have difficulty making decisions after discovering products, and AI agents can help solve this pain point.
Google has launched a new Chinese version of Gemini shopping function in Taiwan. Combined with the Google Shopping Map, you can get product carousel recommendations, cross-network price and specification comparison tables through daily conversations.
From searching for products, crawling to read reviews, to comparing prices and specifications on different e-commerce platforms, consumers often have to repeatedly switch between multiple web pages, spending a lot of time. In order to simplify the tedious shopping process, Google announced the launch of the Chinese version of Gemini shopping function in Taiwan. As long as the needs, budget and preferences are described in Chinese, AI can help recommend products, compare prices and specifications, making it easier for consumers to find products that meet their needs.
The most troublesome thing about online shopping may not be searching for products, but the delay in making a decision. Google CEO Sundar Pichai talked about the choice problems faced by consumers during the shopping process at the National Retail Federation (NRF) annual conference earlier this year. He pointed out that for many people, discovering products is the fun part of shopping, but the real difficulty is often making decisions. Therefore, it is expected that in the future, AI agents can assist consumers in completing the process from discovering products to actual purchases.
In the past, when consumers were shopping online, they often had to collect and organize product information on different platforms. Now, through Gemini, when users make requests, Gemini will automatically compile a reply with pictures and text, listing details such as price, reviews, inventory, and purchasing channels to help consumers make decisions quickly and with more confidence.
For example, if a renter wants to purchase a dehumidifier, he or she can directly enter "Suitable for Taipei suites, budget within 8,000 yuan, emphasis on energy saving and quietness", and ask Gemini to recommend 3 to 5 products, and compile a comparison table of specifications, prices and reviews. If you are planning to travel to Japan, you can also set a budget of 6,000 yuan, and ask AI to recommend 3 20-inch carry-on suitcases that are lightweight and easy to implement, and compare the size, weight and price.
In addition, when facing the need to exchange gifts at the end of the year, users can set a budget of 1,500 yuan and ask Gemini to recommend 5 gifts and purchase channels suitable for friends who like camping and hand-brewed coffee; if they want to choose sports shoes for indoor gyms, they can also ask the AI to recommend 3 to 5 products based on the budget of 2,000 yuan, as well as conditions such as grip, stability and support, and compare prices and reviews. As for consumers who want to improve the atmosphere of their homes or the quality of their daily wear, they can also set a budget of less than 5,000 yuan and ask Gemini to recommend 5 practical items and sort out the prices and purchase channels.
Google pointed out that after Gemini receives questions, it will directly generate a carousel card with product images and purchase links. It also provides a specification comparison table so that users can quickly understand the differences between different products and reduce the time of repeated searches between various shopping websites.
As for how AI can master huge amounts of product information? Google explained that this feature is combined with Google Shopping Graph technology. The database covers more than 50 billion product lists and updates up to 2 billion data every hour. It provides product prices, specifications and other related shopping information, allowing Gemini to provide a variety of product choices based on user needs.

As the technological competition between China and the United States intensifies, technology giants such as OpenAI have strengthened anti-espionage training. At the same time, the media revealed that Alice Huang was suspected of transporting Nvidia chips worth US$7.5 billion to China through her company network, triggering deep concerns about the safety and supply chain compliance of technology executives.

Researchers in China have developed a new optical fiber that replaces the traditional solid glass core with air, successfully reducing data transmission delays by approximately 30 percent over a distance of 1,000 kilometers.

The Chongqing Municipal State-owned Assets Supervision and Administration Commission released a list of artificial intelligence applications for municipal state-owned enterprises in 2026, including 52 scenario opportunities and 34 scenario capabilities. At the meeting, 15 technological innovation and artificial intelligence projects were signed, aiming to create a highland for artificial intelligence innovation and application through scenario-driven technological research.

Shanxi Province proposed the "15th Five-Year Plan" water conservancy digital transformation plan at a press conference. By building a digital twin water conservancy system and using "one network, one picture, and one platform" to realize intelligent water resource simulation, dispatch rehearsal and full life cycle management, it aims to improve the level of water control and revitalization.
Beijing October College of Literature held a seminar on "Literature and Art in the Dual-Based Era". Many experts discussed the impact of artificial intelligence on literary creation, artistic production, copyright ownership and human subjectivity, and examined the changes in literary evaluation standards in the AI era.

Kelsang Dolma, a researcher at the China Tibetology Research Center, pointed out that digital intelligence applications in Tibet have achieved full network coverage in administrative villages and have entered the stage of use and profit. Digital intelligence technology has achieved remarkable results in industrial upgrading, remote medical education and grassroots governance, helping farmers and herdsmen achieve professional identity transformation.