Artificial intelligence is rapidly penetrating one of China’s oldest and most traditional sectors: agriculture. Yimutian Inc., a leading AI-driven agricultural digital service company listed on the Nasdaq (ticker: YMT), announced on Friday that its WolaiCai AI Agent has been fully deployed across all platforms, achieving massive scale and demonstrating clear commercial viability in the trillion-yuan agricultural product circulation market.
The WolaiCai system is currently consuming over 200 million tokens daily, a volume that underscores the intense computational demands of applying large language models to complex, real-world supply chains. More importantly, Yimutian reported that its agricultural AI-related products are now generating more than RMB 20,000 (approximately US$3,000) in daily revenue. While modest compared to the revenues of consumer tech giants, this figure represents a significant milestone in monetizing industry-specific AI agents in a sector that has historically been resistant to digital transformation.
From Manual Coordination to Intelligent Procurement
Yimutian is not alone in targeting China’s agricultural sector with AI. A growing number of Chinese agri-tech startups and established players are deploying large language models and computer vision systems across the agricultural value chain, from precision planting and pest detection to logistics optimization and price forecasting. However, Yimutian’s vertically integrated approach, combining AI-powered trading with on-farm precision management, gives it a distinctive competitive position. Rather than offering a single-point solution, the company is building a platform that spans the entire agricultural ecosystem, from the field to the trading floor, creating multiple touchpoints with farmers, wholesalers, and buyers that are difficult for a narrower competitor to replicate.
Yimutian, which began its agricultural AI initiatives in 2023, has integrated large language model technology across the entire value chain of production, distribution, and consumption. The WolaiCai AI Agent serves as the core implementation at the trading stage, operating in two distinct versions for buyers and sellers.
On the buyer side, the intelligent agent comprehensively collects procurement requirements, including product category, specifications, quantity, origin, packaging, and delivery destination. It then automatically matches supply sources, queries market prices, negotiates pricing, and facilitates deposit transactions to complete inventory locking, scheduling, and shipping arrangements. On the seller side, merchants input their product information and inventory status, and the AI agent manages product listings and matches procurement demands in real time.
According to Yimutian’s AI technology lead, the system has improved overall transaction efficiency by at least 50%. “Previously, agricultural product trading relied primarily on manual coordination, with inconsistent response times,” the lead stated. The shift to AI-mediated procurement is particularly significant in China’s agricultural sector, where supply chains are notoriously fragmented, with thousands of small producers, regional wholesalers, and local distributors operating with limited visibility into pricing and availability across the broader market.
AI-Driven Farms and Precision Agriculture
The company’s AI deployment extends beyond trading. At its AI-driven digital farms in Zhanjiang, Guangdong, the system analyzes big data, weather conditions, and soil moisture to enable precision management, resulting in a 20% increase in potato farm yields for the 2026 growing season. This combination of supply chain intelligence and on-farm precision management represents a vertically integrated approach to agricultural AI that goes well beyond the chatbot-style applications that have dominated early AI commercialization efforts.
Yimutian’s WolaiCai launch illustrates a broader trend in China’s AI industry: the migration of large language model technology from consumer-facing applications into specialized industrial verticals. As the cost of deploying AI agents continues to fall — driven in part by the efficiency breakthroughs pioneered by Chinese labs like DeepSeek, the economics of industry-specific AI are becoming increasingly attractive. Agricultural trading, with its high transaction volumes, complex logistics, and significant information asymmetries, is an ideal proving ground for this next generation of AI applications.
China’s agricultural product circulation market is enormous, with an estimated annual value in the trillions of yuan. The sector has historically been characterized by extreme fragmentation, with millions of small farmers, regional wholesalers, and local distributors operating with limited access to real-time pricing data or efficient matching mechanisms. AI agents like WolaiCai have the potential to dramatically reduce transaction costs and improve market efficiency across this vast ecosystem. If Yimutian can scale its platform to capture even a small fraction of the total market, the revenue opportunity is substantial. The company’s early traction, 200 million daily tokens and $3,000 in daily AI revenue within weeks of full deployment, suggests that the demand for intelligent agricultural trading tools is real and growing rapidly. WolaiCai’s success also demonstrates that the commercial viability of AI agents does not require a consumer internet audience of hundreds of millions; a focused, high-value industrial application with genuine efficiency gains can generate meaningful revenue at a far smaller scale, pointing the way toward a new generation of specialized AI businesses that may ultimately prove more durable than their consumer-facing counterparts.