Summary of Key Points
Xiaocaiyuan, a leading brand in the Chinese-style restaurant chain industry with 800 stores and the highest GMV in 2025, has not chosen to close stores and cut costs in the face of a contracting market and price wars. Instead, it has embraced digital transformation led by Gao Heng, the CIO of a major technology company. The company has implemented screens and a KDS (Kitchen Delivery System) to replace traditional, manual management methods with data-driven processes. It has introduced AI-powered sales forecasting tools and cooking robots to improve efficiency, and has also actively lowered prices, launched an 88VIP membership program (with 1.51 million paid members), and optimized its delivery strategy. Although its net profit decreased by 24.3% in the first half of 2026, revenue reached a record high of 2.903 billion yuan (a 7% increase), with key indicators such as table turnover rates and member repurchase rates improving. Xiaocaiyuan aims to become a benchmark in digital restaurant management within three years and transform Chinese cooking into a scalable, technology-driven business model.
Detailed Explanation
1. Digitalization is not about installing systems; it’s about making processes transparent
Xiaocaiyuan’s previous management was like a “black box”: the kitchen relied on printed orders to distribute dishes, making it impossible to track lost or delayed dishes, and stores only focused on monthly sales figures without real-time feedback. With Gao Heng’s intervention, each store was equipped with 13-16 screens, detailing job processes (e.g., what to do at the bar at 10:20, when to prepare ingredients, and when to thaw the stove). New employees can follow the screens without relying on the experience of senior staff. The most crucial innovation is the KDS system in the kitchen: once a customer places an order, it is immediately displayed on the screens at all stations. Every step of preparing and cooking the dish is recorded, including the time taken, the chef involved, and whether the dish is returned. The headquarters’ central screen updates data in real-time, allowing store managers to compare their store’s performance with that of benchmark and target stores. AI also detects issues automatically (e.g., if the ratio of Foshan Spring water to rice is incorrect or if fruits are not served). This shift from post-event analysis to real-time process monitoring enables immediate adjustments, such as fixing delays in serving the first dish or high return rates.
2. Profit decline is a deliberate strategy for long-term growth
The 24.3% drop in net profit in the first half of 2026 was not due to poor performance but rather due to three strategic moves by Wang Shugao:
- Price cuts to attract customers: Signature dishes like stinky mandarin fish and braised pork were discounted by 13%-25%, resulting in significant revenue losses.
- 88VIP membership program: Members pay 88 yuan per year and receive benefits such as a 68-yuan discount (covering two meals), half-price meals on weekdays, an annual 15% discount, and free rice and napkins, enhancing their sense of loyalty. By July, the program had 1.51 million members, with a repurchase rate over 65%, and each member contributed more than twice as much as regular customers.
- Delivery optimization: Initially, delivery was completely discontinued to focus on in-store sales, but data showed that it did not affect in-store performance. In July, delivery revenue increased by 22.5%, and the time taken to serve in-store meals only increased by 0.13 minutes. As a result, the average in-store order value dropped from 57.1 yuan to 50.5 yuan, but table turnover rates increased by 18.1%. Daily revenue increased by 2 million yuan, indicating that the “low-profit, high-frequency sales” strategy was effective.
3. AI is a tool to fill gaps, not a disruptor
Gao Heng has implemented various AI applications, but he is realistic: “AI improves efficiency, not revolutionizes processes.” Some examples of useful AI tools include:
- Sales forecasting: The system now calculates the required amount of ingredients for each dish based on past sales data, with an error rate of only 9% (aiming for 10%), reducing waste.
- Cooking robots: Used in 300 stores, these robots have replaced repetitive tasks, lowering labor costs without reducing employee earnings.
- Customer ordering: Customers can select the number of people and desired flavors, and the system recommends suitable dishes based on inventory and chef expertise, improving the ordering experience.
However, Gao Heng emphasizes that AI should not be forced into existing processes; instead, the processes must be adapted to fit the AI technology.
4. A latecomer’s advantage: no historical burdens, so we can take a shortcut
Xiaocaiyuan started digitalization later, which gives it an advantage:
- Modern technology: Its IT systems, which were outdated 10 years ago, are now replaced by the latest AI technologies, reducing the need for a large technical team (from over 30 to just 9 people).
- Data wealth: With 800 stores and 1.51 million members, the company generates massive amounts of data daily, which is used to train AI and improve forecasting and decision-making.
- Clear goals: The company plans to complete digitalization of its stores by 2026, its supply chain by 2027, and fully automate operations by 2028. Gao Heng believes that the scale of 800 stores will enable it to lead the way in AI-driven restaurant technology, transforming Xiaocaiyuan into a technology-driven business.
5. Balancing tradition and technology
Wang Shugao and Gao Heng have complementary perspectives: Wang emphasizes that AI cannot replace the dedication of chefs or the warmth of customer service, highlighting the essence of running a restaurant as buying fresh ingredients and preparing fresh food. Gao Heng aims to make Chinese cooking a scalable business model. This balance ensures that Xiaocaiyuan uses technology to improve efficiency without losing its unique charm. For example, the delivery strategy was initially discontinued for in-store experience but was later adjusted based on data, ensuring both quality and increased revenue. The membership program is more than just a numerical system; it represents customers’ trust, which needs to be cherished.
In conclusion
Xiaocaiyuan is doing something challenging but right: using digitalization and AI to overcome the difficulties in scaling Chinese-style cooking. Although it may sacrifice short-term profits, it has the potential to become the “McDonald’s” of the Chinese food industry, providing standardized and authentic meals to a wider audience.
(End of article)
(Note: All data comes from the original news report.)