中百罗森 300 家门店补货换新石器无人车 成本降 15%

Overall: Unmanned vehicles are reshaping how convenience stores are restocked in cities, and Zhongbai Lawson has spent over half a year validating the shift.

1. Since last November, Zhongbai Group has used Xinqishi unmanned vehicles to replenish 300 stores, covering a service radius of about 35 km. Delivery costs have dropped by more than 15%, overall efficiency is up about 20%, and the stores have received almost no logistics complaints.

2. The biggest benefit is punctuality. Vehicles stop on schedule every day, so store staff no longer have to restock shelves while serving customers. During holidays, snowstorms, flood control, and other special conditions, deliveries still run normally, ensuring supply for the morning peak and lunch period.

3. Adopting unmanned vehicles requires no additional store costs, and staff operations are simple: a grid worker unloads the goods and completes the process with one tap on a phone. For ordinary customers, this means steadier shelf replenishment, fewer temporary stockouts, and a more reliable experience of getting a meal done in five minutes.

Overall: By upgrading its logistics with unmanned vehicles, Zhongbai Lawson offers brands a fresh playbook on consumption trends, cost efficiency, and channel management in the convenience store format.

1. Consumption trend: Convenience stores are one of the few physical retail formats still growing against e-commerce livestream competition. Users want 24/7 access, nearby locations, and instant gratification from a five-minute meal, so brands should pay attention to how delivery punctuality shapes customer experience.

2. Cost and price competition: Unmanned vehicles cut delivery costs by more than 15% and improve efficiency by about 20%. That gives brands more room to compete on price. The rollout requires no extra store equipment, and frontline staff can adopt it easily.

3. Channel building: Zhongbai first piloted unmanned vehicles in its self-operated community supermarkets, then expanded to franchised stores, and only afterward brought them to convenience stores. This staged validation ensures each link in the channel is satisfied before scaling—a cautious approach worth emulating.

4. Product development and partnerships: Xinqishi's cold-chain unmanned vehicles already keep damage rates below 5%. Zhongbai Lawson plans to add overnight off-peak delivery and cold-chain temperature control. Brands should watch for opportunities to build standardized delivery templates with unmanned vehicle companies like Xinqishi.

Overall: Unmanned vehicle delivery is opening a new market for local on-demand logistics, and sellers can find opportunities across policy, demand, business models, and risk.

1. Growth market: Reports put the 2024 chain-store delivery services market at RMB 486.2 billion, with expectations to exceed RMB 620 billion by 2026. Rising logistics demand leaves room for sellers to build unmanned-vehicle-related services.

2. Changing demand: Convenience stores order small volumes per store, have dense store networks, and restock frequently, creating hard requirements for on-time delivery. Unmanned vehicles enable higher-frequency direct runs and strong repeat-trip capability, solving the labor fatigue and low efficiency of traditional trucks.

3. Opportunity signals: Xinqishi has launched nighttime delivery in Qingdao and Shenzhen and delivered cold-chain unmanned vehicles in batch to Shuanghui Logistics, with cold-chain damage rates below 5%. This shows the technology is moving into cold-chain and nighttime scenarios, and sellers can explore related partnerships.

4. A useful playbook: Zhongbai's collaboration with Xinqishi followed a staged path—self-operated pilots, then franchised expansion, then convenience-store rollout, advancing only after each stage satisfies stakeholders. This validate-then-scale approach is worth borrowing.

5. Risk note: Public information so far does not cover vehicle purchase costs or regulatory details. Sellers should assess local policies, road-use rights, and performance in specific weather conditions before following this trend.

Overall: The large-scale entry of unmanned vehicles into convenience-store logistics sends manufacturers a clear signal about production design requirements and digital upgrading.

1. Product demand: With 300 Zhongbai stores using unmanned vehicles for replenishment, the vehicles need strong repeat-trip capability to handle larger shipment volumes. Manufacturers designing unmanned vehicles, core components, and dispatch systems must meet the requirements of high-frequency, multi-outlet delivery.

2. Design demand: The cold-chain unmanned vehicles Xinqishi delivered to Shuanghui Logistics feature L4-level autonomous driving and a professional cold-chain temperature-control system, keeping damage rates below 5%. This confirms real procurement demand for refrigeration, insulation, and temperature-monitoring components.

3. Commercial opportunity: The chain-store delivery services market reached RMB 486.2 billion in 2024 and is still growing, so the market outlook for unmanned vehicles and supporting equipment is promising. Factories can plan capacity in advance.

4. Digital upgrade lesson: Zhongbai has made digitalization one of its three core future strategies, using intelligent scheduling instead of throwing more people and trucks at the problem. Factories should also advance digitalization and automation in production to stay compatible with efficient logistics.

Overall: The unmanned-vehicle delivery case gives service providers a clear reference for industry trends, technical solutions, and customer pain points.

1. Customer pain points: Convenience stores have small volumes per store, dense networks, and frequent replenishment. Traditional 4.2-meter trucks require a driver, unloaders, and an accompanying staffer; the more they run, the more exhausted they become and the lower the delivery quality. These pain points are exactly where unmanned-vehicle solutions enter.

2. Solution: With unmanned vehicles, only one grid worker is needed to unload at each store, and the process is completed via mobile phone. Higher-frequency direct runs improve punctuality, delivery costs fall by more than 15%, overall efficiency rises about 20%, and store complaints essentially disappear.

3. New technologies: L4-level autonomous driving and cold-chain temperature-control systems are already deployed in cold-chain unmanned vehicles, with damage rates below 5%. Nighttime delivery has started in Qingdao and Shenzhen, improving transit efficiency and urban distribution costs.

4. Industry trend: Market-size reports show chain-store delivery services reached RMB 486.2 billion in 2024 and are expected to exceed RMB 620 billion by 2026. Logistics is shifting from labor-intensive models to digital and intelligent upgrading, so service providers should adjust their product portfolios accordingly.

Overall: Unmanned-vehicle delivery offers platform operators useful lessons in operations management, partnership expansion, and risk control.

1. Operations management: Unmanned vehicles support higher-frequency direct delivery, and system-based dispatch replaces manual ride-along supervision. Stores incur no additional costs, and logistics services become more stable. Platforms can reduce dependence on drivers and lower complaint rates by adopting unmanned vehicles.

2. Platform approach: Zhongbai and Xinqishi started with self-operated community supermarkets, moved to franchised stores, and then expanded to Zhongbai Lawson convenience stores. The staged validation model reduces rollout risk and is a useful gradual-landing strategy for platform operators.

3. Merchant recruitment opportunities: Xinqishi has launched nighttime delivery in Qingdao and Shenzhen and delivered cold-chain unmanned vehicles to Shuanghui Logistics. The application scenarios are expanding from daytime ambient-temperature delivery to nighttime and cold-chain operations, which platforms can use to attract more brands.

4. Risk avoidance: Current applications are still mainly daytime ambient-temperature replenishment; nighttime off-peak delivery and cold-chain temperature control are still in planning. Platform operators should test thoroughly based on actual scenarios and pay attention to road-access rights and weather risks before introduction.

Overall: The Zhongbai Lawson unmanned-vehicle case provides empirical evidence of new dynamics in instant delivery and business-model transformation.

1. New industry dynamics: The chain-store delivery services market reached RMB 486.2 billion in 2024 and is expected to exceed RMB 620 billion by 2026. Logistics supply is shifting from labor- and vehicle-heavy models to digital and intelligent upgrades, with unmanned vehicles becoming a new growth point.

2. Business model: Xinqishi moved from piloting in community supermarkets to rollout across 300 stores, illustrating an AI-market logic where scaled demand first emerges in the market and suppliers then deliver at scale. This validate-demand-before-scaling model deserves study.

3. Emerging questions: Unmanned vehicles significantly improve delivery efficiency through repeat-trip capability, but how to maintain stability in special weather, nighttime, cold-chain, and other complex scenarios, and how to design policies for road-use rights and insurance, remain open questions.

4. Policy implications: As a supply-chain innovation demonstration enterprise and a national-level grain emergency support enterprise, Zhongbai's unmanned vehicles delivered normally during snowstorms and flood-control conditions, offering a reference case for emergency logistics and supply-chain resilience policy.