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Digital and Intelligent Agricultural Production, Sales, and Agricultural Inputs Comprehensive Service SaaS

1) Agricultural input centralized procurement and e-commerce: The platform charges a commission proportional to the agri

MODEL

Key Fields

FIELD STAMPS

IndustryAgriculture / AgriTech

RegionChina

ScaleMid-size

ChannelHybrid

📌 Background

"2026 China Agricultural Product E-commerce Development Report" shows that in 2025, China's online retail sales of agricultural products reached 783.11 billion RMB, a year-on-year increase of 9.9% (according to the annual industry report). Dafengshou Agricultural Inputs Mall has been using e-commerce to reshape the distribution of agricultural inputs since 2014. According to its official website, it has served over 2.2 million farmers, covered more than 600 cities and counties, and listed over 10,000 agricultural input SKUs (according to the corporate official website, unverified independently). Production-sales matchmaking and agricultural input chains have thus transitioned from single-point services to full-link platforms.

👤 Target Customers

New agricultural business entities, agricultural input manufacturers, and fresh produce channel purchasers

💰 Revenue Streams

1) Agricultural input centralized procurement and e-commerce: The platform charges a commission proportional to the agricultural input transaction volume; 2) Smart planting SaaS: Charges planting entities an annual system subscription fee, with hardware integration priced separately; 3) Production-sales matchmaking: Charges a matchmaking service fee per transaction after a deal is closed between buyers and sellers; 4) Supply chain finance and agricultural insurance: Charges value-added service fees based on business scale, listed as an optional item with undisclosed revenue scale.

🧮 Cost Structure

R&D and operational costs for the full-link SaaS platform; Offline layout expenses for sunken origin service stations and agricultural technology teams; Supply chain warehousing management and fulfillment logistics costs.

🛡️ Moat

Data closed-loop barriers connecting the entire cycle from planting to sales; Offline agricultural technology service and delivery network sinking into villages and towns.

🔑 Keys to Success

Connecting planting-end data to production-sales matchmaking through a digital and intelligent closed loop
Sinking production-origin service network construction to strengthen offline reach and fulfillment
Superimposing supply chain finance and agricultural insurance services to enhance customer stickiness

⚠️ Risks

Long-cycle attribute of agriculture leads to delayed return on platform investment
Offline network expansion occupying a large amount of cash flow causing capital risks

🏢 Cases

Fengnong Holding Dafengshou
Zhinongshidai
Jiangsu Nonghua Smart Agriculture

📊 SWOT Analysis

Strengths

One-stop solution for farmers' closed-loop needs from production management and protection to agricultural product sales
Rich agricultural product matrix and supporting ecosystem plan

Weaknesses

Asset-heavy model expansion involving offline network deployment is relatively slow
Long agricultural input e-commerce and fresh produce production-sales chains with high management complexity

Opportunities

Accelerated land transfer drives a surge in farmers' demand for full-link trusteeship
Standardized development of agricultural product e-commerce promotes production-sales data interoperability

Threats

Competition from internet giants cross-border entering the smart agriculture ecosystem
Fine-grained encroachment by single-link SaaS vendors in vertical fields

Sources