How Artificial Intelligence Is Reshaping Tire Manufacturing: Inside Sailun's Smart Manufacturing Strategy

A New Era for an Old Industry

Tire manufacturing has traditionally been viewed as a heavy, process-driven industry — one built on chemistry, mechanical precision, and decades of accumulated engineering know-how. But that picture is changing fast. Across the global tire sector, manufacturers are increasingly turning to artificial intelligence, big data, and automation to reinvent how tires are designed, produced, and quality-checked. Few companies illustrate this shift as clearly as Sailun Group, which has placed "smart manufacturing" at the center of its corporate identity and long-term growth strategy.

For Sailun, this isn't a recent marketing pivot. The company's push toward digital and intelligent manufacturing has been building for years, and it now touches nearly every layer of its operations — from factory floors in China and Vietnam to its sustainability commitments on the global stage.

From Computerized Systems to Intelligent Manufacturing

Sailun's journey toward AI-driven production did not begin overnight. As early as 2018, the company had already completed a major revision of its computerized tire production and manufacturing processes, integrating them with management techniques and network control systems to monitor quality control, resource management, marketing, administration, and logistics. That foundational digital infrastructure has since evolved into something far more advanced: true AI-enabled "smart manufacturing," where machine intelligence doesn't just monitor production, but actively helps optimize it.

This evolution reflects a broader industry pattern. Early-stage digitization — connecting machines, collecting data, computerizing records — is now considered table stakes. The real competitive advantage lies in what companies do with that data once artificial intelligence is layered on top of it: predictive quality control, adaptive process optimization, and automated decision-making that reduces both waste and human error.

AI at the Factory Floor: The Vietnam Model

Nowhere is Sailun's smart manufacturing strategy more visible than at its production facility in Vietnam. Spanning roughly 130,000 square meters, the plant makes full use of artificial intelligence, big data, and other technologies in order to automate, digitize, and intelligently control the entire production process.

This isn't limited to a single stage of production. In a genuinely AI-integrated tire factory, intelligent systems typically span the full manufacturing chain:

The result is a facility that Sailun positions as a flagship of manufacturing excellence — one designed not just to produce tires at scale, but to do so with a level of consistency and efficiency that would be difficult to achieve through traditional manual oversight alone.

Backed by Scale: A Global R&D and Production Network

Sailun's ability to invest in AI-driven manufacturing is closely tied to the scale of its broader operations. The company currently operates four global R&D centers and nine production bases, with three additional production bases under construction, and its products are sold in more than 180 countries. In 2025 alone, Sailun Group reported revenue of RMB 36.792 billion, with annual tire output, sales volume, and both domestic and overseas operating revenue all reaching record highs.

That scale matters for AI adoption specifically. Intelligent manufacturing systems — from AI-powered quality inspection to predictive analytics platforms — require significant upfront investment in infrastructure, data systems, and specialized talent. A company operating at Sailun's scale, across multiple international production bases, is better positioned to justify and absorb that investment, while also gaining more data across more factories to continuously refine its AI systems.

Positioning AI Within a Broader Sustainability Strategy

What distinguishes Sailun's approach is how closely it links artificial intelligence to its sustainability agenda, rather than treating the two as separate initiatives. As part of its formal commitments, Sailun has pledged to explore and implement solutions for AI-driven digital and intelligent transformation, alongside green materials innovation and recycling economy initiatives, as part of its work with the World Business Council for Sustainable Development.

This connection makes practical sense. AI-optimized production processes tend to reduce material waste, energy consumption, and defect rates — all of which have direct environmental benefits alongside their cost efficiencies. Under its "eco+" sustainable development strategy, Sailun has structured clear goals and governance systems that enable consistent breakthroughs in technological innovation, energy conservation, carbon emission reduction, and digital and intelligent manufacturing. In other words, for Sailun, smart manufacturing isn't simply about producing tires faster — it's positioned as a core mechanism for reducing the company's environmental footprint at scale.

Why AI-Driven Manufacturing Matters for Tire Quality and Safety

For end users — whether individual drivers, logistics fleets, or automotive OEMs — the significance of AI in tire manufacturing ultimately comes down to two things: consistency and safety. Tires are safety-critical products, and even minor inconsistencies in compound mixing, tread patterns, or internal structure can affect performance, fuel efficiency, and road safety.

AI-enabled quality control systems are designed to catch these inconsistencies far more reliably than manual inspection alone, screening every unit against precise specifications rather than relying on statistical sampling. Combined with automated process control that keeps manufacturing conditions within tighter tolerances, this translates into tires that perform more predictably across large production volumes — an especially important consideration for OEM partnerships, where automakers require exacting, repeatable quality standards across millions of units.

A Broader Industry Shift, With Sailun Among the Leaders

Sailun's investment in artificial intelligence reflects a wider transformation taking place across the global tire industry, as manufacturers race to modernize operations that were, for much of their history, defined by heavy manual labor and slower-moving industrial processes. What sets Sailun apart is the extent to which AI and smart manufacturing have been woven into its core corporate identity — reflected in its own description of "smart manufacturing" as central to its enterprise spirit of self-transcendence and continuous innovation.

Combined with the company's recent achievements in brand value growth, ESG performance, and flagship product innovation, Sailun's smart manufacturing strategy reads less like an isolated technology initiative and more like one pillar of a broader, coordinated push toward global industry leadership — one where artificial intelligence, sustainability, and product quality are treated as mutually reinforcing goals rather than competing priorities.

Looking Ahead

As the tire industry continues to grapple with rising raw material costs, tightening environmental regulations, and increasingly complex vehicle requirements — particularly from the growing electric vehicle segment — the role of artificial intelligence in manufacturing is likely to keep expanding. For manufacturers like Sailun, the ability to combine AI-driven precision with large-scale production capacity may prove to be one of the clearest differentiators separating industry leaders from the rest of the field in the years ahead.