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EnglishOn November 5, DingTalk AI Tables announced that it has become the industry’s first intelligent table to support 10 million hot rows in a single table. The technology has already been deployed by several chain retail and e-commerce brands, including the “old-brand” restaurant De Xiang Yuan Roast Duck. Facing business data “peaks” like Double 11, brands no longer need to manually split tables—now all data can truly run on a single table!
Technical Breakthroughs and Architectural Upgrades
This major technical breakthrough comes just over 100 days after DingTalk officially launched AI Tables in July this year. Since the launch of DingTalk AI Tables, Alibaba Cloud’s ADB-PG database team has worked closely with DingTalk to develop a new integrated storage-and-computation architecture, designed to handle users’ explosive growth in computing demands. This architecture enables DingTalk AI Tables to deliver ultra-large-scale storage, AI-powered storage-and-computation integration, and powerful parallel computing capabilities in real-world scenarios involving massive data volumes, frequent changes, multi-table relationships, and real-time calculations. Compared with similar products, DingTalk AI Tables offer better cost performance and are more practical and reliable.
Double 11 Use Cases Accelerate Deployment
The real-world demand from e-commerce brands preparing for Double 11 has accelerated the adoption of DingTalk AI Tables capable of handling 10 million hot rows. This year’s Double 11 marks the first Double 11 where AI technologies have been fully implemented. According to Alibaba officials, Tmall is deploying AI technologies on a large scale this year to empower merchants, with AI tools being used at scale for the first time. Brands such as Semir, Intime Department Store, and the emerging fashion brand Almondrocks are already using DingTalk AI Tables to prepare for Double 11.
The Efficiency Revolution at De Xiang Yuan Roast Duck
In actual use at De Xiang Yuan Roast Duck, DingTalk AI Tables deliver far faster computation speeds than comparable data table products, maintaining sub-second performance even when handling massive amounts of data.
As a restaurant brand with 40 chain locations, De Xiang Yuan generates tens of thousands of new food sales records every day, with historical data already totaling millions of entries. The company needs to conduct in-depth analysis of each store’s food sales daily to understand customer preferences and identify issues with menu items. However, traditional table tools often lagged or froze during processing, and complex calculations frequently failed to complete. As a result, the company had to resort to manual table splitting—a cumbersome process that increased both statistical costs and the risk of errors.
Now, with DingTalk AI Tables, De Xiang Yuan has achieved unified management of all data with sub-second response times. For example, when aggregating multi-dimensional sales data across all stores by day, week, or month, the calculation time has been reduced from several minutes to just seconds, with data dashboards updated in real time. This improvement allows the company to gain precise control over food quality and store operations while enabling agile optimization.
With real-time food data and dynamic dashboards, headquarters can quickly identify which menu items are bestsellers or slow-moving across different stores. Based on this data, the company optimizes its menu structure and inventory strategies, reducing food waste. At the same time, any abnormal fluctuations in food sales can be detected promptly, allowing the company to trace the root cause of issues and make swift corrections, ensuring consistent food quality.
“It’s so fast and smooth! We no longer need to split tables manually!” said Yang Chen, the company’s digitalization manager. “DingTalk AI Tables have shifted our decision-making from ‘post-event analysis’ to ‘real-time prediction,’ reducing management costs while significantly improving store operational efficiency and customer satisfaction.”
Currently, applications for single tables supporting 10 million hot rows are open. Businesses that are interested or have relevant needs can click “Read More” for more information.
DomTech is DingTalk’s official designated service provider in Macau, specializing in providing DingTalk services to a wide range of customers. If you’d like to learn more about DingTalk platform applications, feel free to contact our online customer service, call +852 95970612, or email cs@dingtalk-macau.com. With an outstanding development and operations team and extensive market experience, we can provide you with professional DingTalk solutions and services!