Yimutian Launches Wolaicai Sales Assistant, China’s First AI Agent for Agricultural Product Trading

Key Takeaways

• Wolaicai AI agent launched for end‑to‑end agricultural trading.
• Pilot served ~100 customers daily, earning ~¥1,000 (~$140) each day.
• CFO expects AI suite to add over $10 million revenue this year.
• AI matching cuts China’s 20‑30% supply‑chain loss rate.
• Platform links online marketplace with offline service stations for fulfillment.

Pulse Analysis

China’s agricultural sector is undergoing a rapid digital overhaul, with AI emerging as a catalyst for efficiency gains. Yimutian, already a leader in farm‑to‑market platforms, is extending its technology stack from marketing and merchant acquisition tools to the core transaction layer. By embedding an AI agent directly into the buying and selling process, the company leverages real‑time data, historical pricing, and logistics analytics to reduce friction that has traditionally slowed commodity flows.

The Wolaicai Sales Assistant’s pilot demonstrated tangible traction: roughly 100 merchants engaged daily, producing about ¥1,000 (≈$140) in revenue each day. While modest in absolute terms, the pilot validates demand for automated sourcing, price discovery, and instant order execution. CFO Shijie Chen’s projection of more than $10 million incremental revenue underscores the scalability of AI‑driven services when paired with Yimutian’s extensive offline service‑station network. The platform’s ability to match buyers with regional producers—such as linking a Beijing watermelon buyer to farms in Yunnan or Shandong—illustrates how AI can compress multi‑layer intermediation that historically erodes up to 30% of product value.

If successful, Wolaicai could reshape China’s agricultural supply chain, setting a template for other emerging markets where fragmented distribution hampers productivity. Investors will watch Yimutian’s rollout closely, assessing whether AI can consistently deliver cost savings, higher margins, and stronger customer stickiness. The broader implication is a move toward data‑centric commodity markets, where transparency and speed become competitive differentiators, potentially prompting legacy traders to adopt similar technologies or risk obsolescence.