DingTalk Launches New 'AI Tables' to Revolutionize Business Workflows}

On July 8, DingTalk announced the launch of its new AI Tables, designed as an entry point for new applications in the AI era. In DingTalk AI Tables, AI is a built-in capability, with each cell serving as an entry point for AI and a smart workflow. Enterprises and users can build their own business systems based on DingTalk AI Tables, process tasks in bulk, and enable data to flow and generate value.

Additionally, DingTalk AI Tables introduces the innovative "Tables as Documents" feature, integrating documents into data tables for the first time. Each row becomes an independent document, allowing users to input freely like writing a document, making information clear and expanding AI application scenarios.

DingTalk AI Tables: Building Intelligent Business Systems for Thousands of Industries with a Single Table

From typewriters to Office, from cloud documents to data tables, every upgrade of productivity tools brings new ways of working.

In the AI era, high-value business data is the core asset of enterprises. As the most familiar productivity tool, tables are naturally a database capable of efficiently handling, presenting, and processing massive information. The addition of AI breathes new life into these tables, enabling enterprises to build their own intelligent business systems with a single table.

Across various industries, DingTalk AI Tables has become an essential tool for many enterprises to implement AI applications:

1) E-commerce Operations: From 3 Days to 10 Minutes for Store Analysis

For e-commerce brands, cross-platform and multi-store review analysis is crucial. Previously, manual Excel summaries took three days. Now, with DingTalk AI Tables, RPA tools automatically fetch review data from platforms like Taobao, Tmall, Douyin, and Xiaohongshu daily, updating in real-time. AI templates analyze massive consumer reviews instantly, classifying positive, negative, and neutral feedback, completing what used to take 3 days in just 10 minutes. Moreover, data from 13 stores’ DSR (Seller Service Rating System) is managed in one table. The scores are automatically updated, and operators can view all store performances via visual dashboards. If a product’s negative reviews surge, immediate actions like warehouse quality checks or delisting are triggered to prevent issues.

2) Shentong Express: Managing 100,000+ Manual Repairs in One Table

Handling repair requests for nearly 10,000 employees was a challenge due to diverse issues and complex workflows. The old OA system only supported basic approvals, with manual information transfer and slow responses. DingTalk AI Tables now manage the entire process—submission, intelligent assignment, task push, and feedback—within a single table. After launch, repair response time dropped to 10 hours, with 74.6% of tickets resolved on the same day. Even cleaning staff now scan QR codes and report issues like "file cabinet lock failure" via the repair assistant, and tickets are generated automatically.

3) Chongqing Jiangbei International Airport: Precise Inventory Management of Millions of Supplies

The airport issues over a million items annually, such as gloves, masks, and bottled water. Previously, inventory was recorded manually, leading to delays and chaos. Now, an AI table acts as a "smart inventory manager," providing real-time stock levels, automatic updates, and intelligent predictions of shortages, proactively reminding for restocking, making management precise and efficient.

4) Semir Balabala: Doubling Sales During Major Promotions

During the annual 618 shopping festival, Balabala’s Tmall team faced challenges like changing plans and delayed information sharing. They adopted DingTalk AI Tables to coordinate channels like live streams, social groups, and affiliate partners within a single table. Clear task goals and timelines enable everyone to work efficiently, with real-time updates. Using AI dashboards, the team can analyze sales data quickly and identify slow-moving categories for adjustments, doubling the promotion’s effectiveness.

The New AI Table: The Business Database and Foundation of AI Applications in the Era

Traditional tables were limited in building collaborative business applications. The first-generation multi-dimensional tables with collaboration and real-time calculations embedded into workflows emerged, but now, enterprises need more—collaborative systems between humans and AI, and between AI and data. DingTalk AI Tables simplifies complex processes, breaks information silos, and enables AI to manage companies within a single table.

The "intelligent" features of DingTalk AI Tables include:

• Embedding over 80 field templates, completing 1,000 tasks in an hour: Users can extract, classify, understand, and match information, generating multimodal content like text, images, audio, and video. Once configured, AI automatically executes new data imports, handling massive e-commerce reviews, product research, and information collection flexibly and powerfully.
• Using AI for formulas and dashboards, enabling data analysis without skills: Users describe needs in natural language, and AI generates complex formulas and professional charts, transforming tables into "business data dashboards"—even Excel novices find it easy to use.
• Automating workflows with AI, working around the clock: Set trigger conditions and actions, and AI responds instantly to data changes, automating notifications, reminders, and other tasks, greatly improving process efficiency.

Every cell in DingTalk AI Tables is an AI entry point, capable of real-time data analysis, insight generation, and business process automation, turning a simple table into a smart enterprise system.

Introducing "Tables as Documents": Complete Homepages for Influencers and Products

Many enterprises generate unstructured data like images, videos, and documents outside of tables, making integration difficult. DingTalk’s new feature merges tables with documents, where each row is a standalone document allowing free text input, embedding media, and formatting—similar to editing a document. This greatly improves editing and viewing efficiency.

More importantly, the seamless fusion of structured and unstructured data transforms DingTalk AI Tables into a powerful business operation system, truly enabling "managing the company with a single table."

For example, a live e-commerce company can now manage influencers and inventory efficiently. Previously, influencer profiles were scattered across files; now, clicking a cell reveals a complete homepage with details and past data. Similarly, product inventory management now includes detailed pages with images, stock status, supplier info, and sales history, making data management simpler and more powerful.

AI Tables represent a new form of AI application, turning AI from a dialogue tool into an integrated business system that enhances communication, collaboration, and workflows, significantly boosting productivity.

Updating to the latest DingTalk version grants free access to basic AI Table features, allowing all enterprises to adopt AI-powered work methods at low cost. DingTalk is redefining human-AI collaboration with this innovative product.