Nowadays, the tire industry is becoming more and more involved, and major brands are vying to seize the market. However, most companies are facing the same problem: product research and development only rely on laboratory data, and they have no idea of the actual wear and tear of tires under real road conditions.
Feedback from end customers is mixed and scattered. Fleets complain about fast wear and easy damage, but manufacturers cannot find the specific problem. They can neither optimize products nor provide precise after-sales service, and have been stuck in a development bottleneck for a long time.
Traditional manual statistics of wear data are extremely inefficient. Not only does it consume a lot of labor costs, but the collected data also contains huge errors. It cannot distinguish wear differences caused by vehicle load, driving road conditions, and operating environment, resulting in stagnant product upgrades and constant after-sales disputes.
The FW40 AI tire pattern detector completely opens up the complete link from market use to product optimization for tire companies.
Industry staff go out for on-site inspections, holding lightweight FW40 testers, to quickly complete various types of commercial tire inspections and accurately collect all-round data such as tire tread depth, tire pressure values, local wear and tear, etc. All measured information is synchronized and summarized to the cloud platform in real time.
Relying on powerful AI intelligent analysis capabilities, the system automatically integrates massive measured data to accurately screen out core issues such as tire wear-prone locations, rubber material shortcomings, and pattern design defects.
Tire manufacturers rely on real market data to accurately adjust rubber formulas, optimize tread pattern structures, and specifically improve tire wear resistance and overall quality.
Not only that, companies can also rely on a complete data system to customize exclusive tire maintenance programs for cooperative fleets and terminal merchants, effectively reducing tire failure problems, significantly reducing after-sales pressure, and steadily improving brand reputation and market recognition.
Whether it is a large leading tire brand or a small and medium-sized tire manufacturing company, it can be easily adapted to the situation.
According to the enterprise’s research needs, market layout, and product categories, a one-stop customized intelligent data collection and analysis solution can be implemented to meet the development needs of the enterprise.
Industrial development can only last long if it fits the market. Abandoning the traditional and old R&D model, using smart devices to master real usage data, and accurately completing product iterations and upgrades is the core way for tire companies to stabilize the market and continue to make profits.
Enterprises should actively embrace new technologies and use tools like the FW40 AI tire tread detector to deeply understand market demand and continuously optimize products to adapt to fierce market competition.
Only in this way can we stand out in the tire industry and achieve sustainable development.
At the same time, with the continuous advancement of technology, we have reason to believe that the tire industry will usher in more innovations and breakthroughs in the future, providing consumers with better products and services.
