In the wave of digital transformation, has AI technology truly ‘taken root’ in grassroots operations, or does it remain merely a concept confined to PowerPoint presentations? Recently, with this question in mind, a journalist followed the footsteps of industry observer ‘Youyoucao’ to delve into several industrial parks and frontline service hubs along the border between Hubei and Chongqing, conducting a unique on-site investigation. The core proposition of this trip was: What kind of disruption has the real-world application of AI in operations brought to traditional processes?

‘Youyoucao’ is not a tech company, but a grassroots observation team deeply engaged in regional economics and industrial integration. During a week-long tour, they discovered that AI is no longer a ‘black box’ in the lab, but has permeated everything from supply chain management to customer service. At a major logistics hub on the Hubei-Chongqing border, the site manager demonstrated an AI-driven intelligent sorting system to the journalist. The system uses computer vision to identify package information in real time, reducing the sorting error rate from three per thousand in the manual era to 0.05 per thousand, while boosting throughput by 40%. This is the most intuitive case of cost reduction and efficiency improvement that ‘Youyoucao’ emphasizes in ‘the application of AI in operations.’

But the value of AI goes far beyond replacing repetitive labor. At an agricultural cooperative in Wanzhou, Chongqing, the journalist saw a more ‘down-to-earth’ application. For the cultivation of a local specialty agricultural product—‘Youyoucao’ (a plant used for both food and medicine)—the cooperative introduced an AI-based pest and disease early warning model. By analyzing meteorological data, soil sensors, and multispectral images captured by drones, the model issues warnings to farmers 72 hours before an outbreak and recommends precise pesticide application plans. Lao Li, the head of the cooperative, remarked with emotion: ‘In the past, we relied entirely on experience. Now, AI tells me when to take precautions and what pesticide is most effective. Last year, the premium rate of Youyoucao increased by 20%.’ This deep integration of ‘AI + agriculture’ is one of the core takeaways from the ‘Youyoucao’ team’s research.

However, the application of AI in operations has not been entirely smooth. During the visit, many small and medium-sized business owners confided in ‘Youyoucao’ about the pains of transformation: difficulty in breaking down data silos, employee resistance to AI tools, and the uncertainty of the initial return on investment. In response, an expert involved in the research pointed out: ‘The key to AI landing is not how advanced the technology is, but whether the business scenario is clear. Companies need to first identify their most painful pain points, and then consider using AI to apply the right remedy.’ This view was also endorsed by the ‘Youyoucao’ team, who believe that true AI application should be ‘gentle and subtle,’ integrating into existing business processes rather than forcibly overturning them.

From smart factories in western Hubei to smart farmland in northeastern Chongqing, this field trip paints a picture of ‘the real application of AI in operations.’ It lacks the flashiness of sci-fi movies, but is full of pragmatism and resilience. As ‘Youyoucao’ wrote in their research notes: ‘AI is not a panacea, but it is a catalyst for traditional operations to achieve a “lane change and overtake.” Only by sinking technology into the soil can AI truly yield benefits.’

This trip to Hubei and Chongqing was not only a review of technology, but also a deep reflection on a new paradigm of ‘human-machine collaboration.’ As more observers like ‘Youyoucao’ go to the frontlines, the application of AI in operations will no longer be a vague slogan, but a replicable and quantifiable methodology for growth.