E-commerce / RetailChina
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JOURNEY · DETAIL
Bianlifeng's Zhuang Chenchao: From Qunar to Algorithmic Convenience Stores, a Radical Experiment in Digital Unmanned Retail
Founded: Zhuang Chenchao · Bianlifeng Trading Co., Ltd.
JOURNEY
Key Fields
FIELD STAMPSIndustryE-commerce / Retail
RegionChina
ScaleMid-size
ChannelOther
Origin
In 2015, Zhuang Chenchao left Qunar after Ctrip's share-swap acquisition, with ample capital and a data-algorithm methodology in hand. He observed that China's convenience store industry relied heavily on store managers' personal experience, with almost no data support for product selection, ordering, or display, and shrinkage and inefficiency were treated as industry norms. He therefore founded Zebra Capital and treated Bianlifeng as an 'investment marathon' experiment, using long-term capital to bet that algorithms could remake the inefficient retail industry.
Milestones
2015
Fierce battle in online travel and forced exit Turning point
After years of cash-burning battles among Qunar, Ctrip, and eLong, Zhuang Chenchao built Qunar into a top-tier player in China's online travel market. In October 2015, Baidu swapped about 29.1% of Qunar shares for about 25% of Ctrip shares, and control of Qunar was merged into the Ctrip system; Zhuang Chenchao subsequently resigned as CEO. This forced exit instead gave him ample capital and the determination to start a second business, and it led him to target offline convenience stores, an industry highly dependent on human decision-making.
2016
Start PMF
Zhuang Chenchao founded Zebra Capital, registered Bianlifeng Trading Co., Ltd. in November 2016, and opened the first stores in Beijing's Zhongguancun in February 2017, while recruiting a large group of former Qunar product and technology staff. The first stores operated as directly owned and directly operated outlets, with shelves, product selection, and prices all determined by back-end data models. The early stores validated a minimal closed loop for algorithmic product selection and smart ordering, but the profit model was not yet proven.
2017
Trial and error with unmanned shelves Failure
The unmanned shelf trend cooled rapidly after exploding in 2017, and Bianlifeng's unmanned shelf project was not spared, ultimately ending in retrenchment. According to 36Kr, Zhuang Chenchao once aggressively recruited former Qunar staff to work on unmanned shelves, but shrinkage rates, replenishment costs, and the algorithm model's adaptability could not support commercialization, so Bianlifeng subsequently shifted all resources back to physical stores. This failure helped Bianlifeng establish a route of not pursuing asset-light models and focusing only on directly operated physical stores.
2018
Algorithmic expansion Growth
In 2018, media reported that Bianlifeng had opened nearly 100 stores; in 2019, Zhuang Chenchao publicly said humans were inefficient and that algorithms should be used to expand at scale, and Bianlifeng entered Beijing, Tianjin, Nanjing, Shanghai, and other cities. The system began taking full control of decisions such as ordering, scheduling, display, and promotions, and store managers became more like on-site executors. The radical sample of the algorithmic convenience store thus took shape.
2020
Peak and IPO rumors Turning point
In 2020 and 2021, Bianlifeng was reported to be preparing for a U.S. IPO, while media cited that its store count had exceeded 2000. On the other hand, industry doubts grew over Bianlifeng 'burning money for scale and using algorithms to plug losses'; in the same period, Bianlifeng was also named by regulators over food safety and other issues, and the IPO window did not open for a long time amid changes in the macro environment. This unfinished IPO became the turning point in Bianlifeng's slide from its peak.
2022
Concentrated store closures Failure
In 2022, Bianlifeng saw concentrated store closures in many parts of China, its store count fell sharply from its peak, and it directly exited some markets. Based on public reports and industry commentary, the root cause was that the algorithm model failed to deliver per-store profitability during expansion, and instead exposed cost fragility amid the combined pressures of inflation, the pandemic, and competition. Bianlifeng retreated from nationwide expansion to a survival mode focused on core cities, and the bubble of the algorithm narrative began to burst.
2024
System reflection Turning point
In June 2024, Tencent News published 'Bianlifeng Has No Utopia: Systems Change People, the Environment Changes Systems,' bringing Bianlifeng back into the public eye. The article pointed out that the system improved efficiency in the early stage, but when the environment changed abruptly, system rigidity instead dragged down store survival. In 2026, the focus of observing Bianlifeng is no longer how many stores it can open, but whether the remaining stores after retrenchment can prove that the per-store model of an algorithmic convenience store truly works.
Turning Points
- In 2015, Ctrip acquired Qunar through a share swap, and Zhuang Chenchao was forced out, but instead gained the capital and obsession for a second venture.
- After the unmanned shelf project failed in 2017, Bianlifeng shifted from an asset-light model to heavy assets, betting fully on directly operated physical stores.
- In 2019, Zhuang Chenchao publicly declared large-scale expansion using algorithms, and Bianlifeng became bound to an extreme faith in algorithms.
- In 2021, IPO rumors came to nothing, Bianlifeng's capital operation logic was interrupted, and its strategy shifted from offense to defense.
- In 2024, Tencent News published an in-depth article, and public opinion shifted from tech worship to systematic reflection on algorithmic convenience stores.
Failures & Pitfalls
- In 2017, the unmanned shelf boom burst, and after Bianlifeng burned through related investments, no replicable business model emerged.
- Algorithm-driven large-scale expansion did not deliver systematic per-store profitability, and losses at stores in many places ultimately led to concentrated closures in 2022.
- Rumors of a U.S. IPO did not materialize for years, and Bianlifeng's capital exit channel remained closed for a long time.
- After system rigidity replaced store manager flexibility, employee autonomy was compressed, and algorithms exposed their fragile side in the face of unexpected events.
关键成功要素
- Use algorithms to replace store manager decisions, systematically executing everything from product selection, ordering, and pricing to scheduling.
- Use front-loaded data models for site selection, deciding whether to open a store based on foot traffic calculations, reducing subjective decisions.
- Insist on direct ownership and direct operation, reject franchising, and avoid franchisees acting independently and disrupting algorithmic data.
- Adopt a marathon long-term capital model, with Zebra Capital making long-term heavy bets and not demanding short-term payback.
Lessons
- Offline convenience stores are an extremely non-standardized industry, and algorithmic certainty cannot beat the randomness of the real environment.
- Sacrificing per-store profitability for scale will ultimately be backlashed by scale, and Bianlifeng's wave of store closures is the best proof.
- Radical experiments driven by founder belief must be bounded by financial discipline, otherwise the system will be dragged down by system rigidity.
- Digitalization can rebuild the middle platform, but it is very difficult to rebuild a single-store model that can remain profitable in a neighborhood commercial area.
Core Data
- 开业年份：First stores opened in Beijing in 2017 (public-source basis)
- 2018年门店数：Nearly 100 stores (36Kr report) (public-source basis, independently unverified)
- 2021年门店数：About 2000 stores (cited by media in 2021) (public-source basis, independently unverified)
- 退出交易换股比例：In 2015, Baidu swapped about 29.1% of Qunar shares for about 25% of Ctrip shares (public-source basis, independently unverified)
- 深度报道年份：In 2024, Tencent News published the in-depth report 'Bianlifeng Has No Utopia' (media estimate, independently unverified)
Competitors / Peers
Bianlifeng's first benchmarks are the three major foreign convenience store brands: Lawson, 7-Eleven, and FamilyMart. They are also known for refined operations and fresh food supply chains, but rely more on human authorization and franchise systems; in the domestic camp, Meiyijia and Jianfu take the route of rapid expansion through franchising, completely different from Bianlifeng's differentiated route of direct ownership and direct operation. Bianlifeng tries to replace store manager thinking with algorithms, which happens to sit on the digital extension of 7-Eleven's decades of single-item management experience, and therefore makes it an extreme sample for observing whether convenience store digitalization in China is real or not.