Crowdsourced Rider Aggregation Dispatch Pilot

📌 Background

In 2026, as local delivery unit prices declined and crowdsourced rider incomes became unstable, small and medium-sized merchants faced strong demand for low-cost instant delivery, creating an entry point for third-party aggregation dispatch. Public cases show that Zhonglian Jisong built its own digital capacity dispatch platform, serving over 400,000 merchants with an average daily delivery volume of approximately 2 million orders across more than 200 cities nationwide. In 2025, it achieved revenue of 3.2 billion yuan (based on corporate website data), validating the scalability of the aggregation model.

👤 Target Customers

Small and medium-sized catering merchants, local retail stores, convenience stores, and crowdsourced riders looking to accept orders from multiple platforms.

💰 Revenue Streams

1) Data aggregation service fees: Charging merchants 0.5-2 yuan per order for order aggregation data (merchant-reported, independent verification pending); 2) Rider membership: Charging riders membership fees or information matching fees; 3) Merchant SaaS subscription: Charging merchants for dispatch and order-taking SaaS subscriptions; 4) Crowdsourced capacity dispatch commissions and insurance revenue sharing: (Opportunity item; revenue volume for this channel is currently unavailable).

🧮 Cost Structure

Dispatch system development and maintenance costs, marketing expenses, customer service labor costs, rider-side subsidies, and reserves for order dispute compensation.

🛡️ Moat

Accumulation of local capacity pools and optimization of dispatch algorithms, creating a network effect—the more riders there are, the faster the order response, and the stronger the merchant stickiness.

🔑 Keys to Success

• Rapid accumulation of local capacity and merchant resources to form a density advantage
• Dispatch algorithms must strike a balance between response speed and rider income

⚠️ Risks

• Difficulty in scaling, prone to being replicated or swallowed by industry giants
• High difficulty in cold-starting both rider and merchant sides

🏢 Cases

• Zhonglian Jisong Network Technology Co., Ltd., which built its own digital capacity dispatch platform, serving over 1,000 chain brands and local merchants

📊 SWOT Analysis