Yimutian Launches Wolaicai Sales Assistant for Agricultural Trading

Yimutian Inc. (NASDAQ: YMT) announced the official launch of the Wolaicai Sales Assistant on May 07, 2026. The company describes it as China's first AI-powered tool deeply embedded in agricultural product trading scenarios. This represents a shift from standalone AI tools into the core transaction layer of agricultural circulation.

The product completed a one-week small-traffic trial on the Yimutian App. During that period, approximately 100 agricultural business customers per day used the system. Users completed transaction-related workflows including sourcing products, discussing market conditions and placing orders. Internal preliminary data shows the product generated more than RMB1,000 in commercial revenue per day during the pilot.

Management expects AI initiatives to contribute over US$10 million in full-year revenue growth. That projection appears in the official press release distributed through GlobeNewswire. The figure represents a significant commitment to monetizing AI capabilities across the agricultural sector.

Independent coverage from StockTitan corroborates the revenue guidance and pilot metrics. The outlet notes the stock fell 6.04% following the announcement, suggesting market skepticism despite the operational claims.

Wolaicai Sales Assistant offers four core features. AI-powered matching recommends supply sources based on product category, specification, quantity and location. The system applies intelligent ranking using distance, price and fulfillment capability. AI quotation assistance leverages historical transaction data and real-time market information for pricing suggestions. AI procurement guidance integrates production-region distribution, seasonal patterns, quality standards and logistics considerations. AI-enabled transactions allow buyers to complete online deposit payments based on AI recommendations.

The physical experience matters here. A watermelon buyer in Beijing interacts through multiple rounds of dialogue. They communicate requirements regarding variety, specification, price, quality and location. The system analyzes major watermelon production areas currently in season across China, including Yunnan, Shandong, Hainan and Henan. The buyer then directly selects a trading counterparty based on the AI recommendation. This replaces the traditional process of multiple phone calls, messages and quotation requests.

That friction reduction is the real value proposition. Agricultural product circulation in China has long faced information asymmetry and inefficient coordination between production and sales. A single agricultural product often passes through multiple layers, including brokers, wholesalers and retail channels. Each layer increases costs and reduces efficiency. Industry estimates cited by the company show the circulation loss rate for agricultural products in China has remained at approximately 20% to 30% over an extended period.

Yimutian views this launch as another upgrade of its agricultural AI capabilities. The company previously launched products such as Jubaopen AI and Xiaotian, its agricultural AI conversation robot. Xiaotian is deployed in application scenarios such as Boluotong, Gaozhili and Mr. Lan. The new tool combines online AI-powered matching with offline Wolaicai service stations and fulfillment support from quality merchants across China.

Mr. Shijie Chen, Chief Financial Officer of Yimutian, commented on the launch. He stated that AI technology has been disruptive for both industries and enterprises. Based on Yimutian's experience in deploying agricultural AI technologies, agricultural users' acceptance of AI tools has far exceeded expectations. Drawing on prior experience with AI marketing products, the company believes the launch will drive efficiency improvements.

The market reaction tells a different story. StockTitan's analysis notes that an earlier AI-tagged announcement on April 07 saw a -2.76% move despite strong operational metrics. Today's AI trading assistant launch continues that strategy of embedding AI deeper into agriculture while the share price remains near 52-week lows. Investors may watch user growth, transaction throughput, and follow-on regulatory filings for signs of sustainable traction.

There are legitimate questions about scalability. The pilot duration was limited to one week, limiting longer-term performance visibility. Preliminary internal data was cited with no independent verification of revenue or adoption metrics. Unquantified market impact beyond the pilot means scalability and margin effects remain undisclosed. These are not minor concerns when projecting US$10 million in revenue growth.

The technology itself is straightforward. Large language models are rapidly penetrating various industries, including agriculture. The system processes buyer requirements and matches them against a platform database. It ranks results based on multiple factors. The output is a list of potential suppliers with pricing guidance. The buyer clicks, pays a deposit, and the order moves forward. Simple in theory, execution is where the rubber meets the road (and where most agricultural AI projects fail).

Yimutian's broader AI service ecosystem covers multiple agricultural scenarios. From Jubaopen AI for intelligent short-video marketing to AI-powered matching engines supporting merchant customer acquisition, the company is building infrastructure. Now Wolaicai Sales Assistant handles agricultural product circulation. The goal is systematic efficiency improvements across the full agricultural industry chain.

Full-process AI transaction services will not only improve the efficiency of agricultural product circulation. They will also create additional revenue growth opportunities for the company. That's the pitch. Whether the market buys it remains to be seen. The stock price movement suggests investors are waiting for proof of concept beyond a one-week trial.

China's agricultural sector faces real structural problems. Information asymmetry between producers and buyers is genuine. Multiple intermediaries do add cost. Reducing those layers through AI matching could theoretically improve margins. But theory doesn't always translate to practice, especially in a sector where relationships and trust matter as much as data.

The Wolaicai Sales Assistant represents a logical next step for Yimutian. The company has already invested in AI marketing and advisory tools. Moving into transaction execution is the natural progression. The question is whether users will actually pay for it at scale. RMB1,000 per day during a pilot is promising, but that's roughly US$140. Scaling to US$10 million annually requires significant adoption growth.

Whether users actually pay for it remains the real question. The technology works in a controlled trial. The market's reaction suggests skepticism about commercial viability. Time will tell if the AI can deliver on its promises beyond the pilot phase. For now, the numbers look good on paper. Execution will determine whether they hold up in the real world.

Artūras Malašauskas is an AI Systems Integrator with 20+ years of production-grade web engineering experience. He has designed, shipped, and scaled enterprise Python/PHP systems for logistics, SaaS, and public-sector clients. For the past year, he has focused exclusively on AI integrations: deploying open-source LLMs, building generative media pipelines (image, audio, video), and engineering multi-agent workflows for real production environments. His standard: reproducibility, security, cost-efficient inference—no vaporware. He documents and evaluates emerging AI tooling, separating verified capabilities from marketing noise. Technical editor at: muza-ai.eu, ai-verslas.lt, ai-naujinos.lt Connect on LinkedIn