Around six years ago, JK Tyre joined hands with Pune-based Treel Mobility, which has now been acquired by the tyre company. Today JK Tyre is the only tyre company in India that indigenously manufacturers Tyre Pressure Monitoring Systems (TPMS) based on sensor technology. TREEL provides live data on the most important variables: tyre temperature, tyre pressure, tyre positions, locations, distance travelled and expected tyre life through our algorithm thus capture almost full health of the tyres. We provide our TMAS software for tyre management.

JK Tyre offers sensor technologies for both OE and aftermarket.

“The sensors can alert if the air pressure increases and drops by more than one psi. Our sensors are a multi-utility product and come with around five years of life,” Misra said, adding that the company’s sensor technologies are getting good response from the market.

JK Tyre’s manufacturing operations comprise of 12 state-of-the-art manufacturing facilities. The company has nine modern plants in India (three plants in Mysuru, three plants in Haridwar and one plant each in Banmore (M.P.), Kankroli (Rajasthan) and Chennai and three plants in Mexico – an aggregate production capacity of around 32 million tyres per annum.

The company is engaged in the manufacture and marketing of automotive tyres, tubes and flaps. JK Tyre’s products comprise Truck/Bus Radial & Bias, Passenger car radials, 2/3-wheeler tyres, LCV & SCV Bias & Radial, off-highway tyres (OTR and Farm), as well as speciality tyres for military/ defence, industrial and farm applications besides racing tyres.

Data generated through the sensors is not only helping JK Tyre to develop better products but provides an efficient and cost-effective service to its customers, especially in Truck Radial tyre space. “Service efficiency is what makes the difference to a customer. It is very important factor,” explained Misra.

JK Tyre is also in “Mobility Solutions”, where the company takes complete control of the tyre management and sells tyres by kilometres to the customers.

“Having such solutions availed, fleet owners do not have to worry about the most capital intensive part tyres. They do not have to buy tyres. We provide the right quality of tyres as per their requirements and then we make sure that tyres are optimally used and well maintained. To ensure performance and better life of tyres, we need lots of information and timely data collection which is not humanly possible. But now we can have all the data since tyres are fitted with sensors,” said Misra.

Misra claims that JK Tyres is the first company in India to provide such kind of services to the fleet companies.

“JK Tyre will continuously keep looking into the enhancement of sensor technologies in future,” he said.

With the help of JK Tyre’s service management and support around 3% fuel can be saved with the better pressure, alignment and maintenance of the tyres, whereas the tyre life is improved anywhere between 5% to 10%. “We have also seen big improvement in the downtime of the vehicles as well,” added Misra. The company extended this solution across more than 800 fleet owners. JK Tyre today has over 50 state-of-the-art Truck Wheels centres across the country which provides services enabled by high-quality machinery including computerised wheel alignment, wheel balancing, automated tyre changing, tyre rotation, nitrogen for tyre inflation, all under one roof to provide a 360-degree solution and excellent experience to the customer.

For EV mobility, the company is getting aggressive. JK Tyre has done benchmarking in the markets where the EV is largely being used. “We have tested and kept the tyres ready for EV cars. We have developed special tyres and have also done benchmarking with tyres which are being used by cars like Tesla / Kona,” said Misra. We intend offering special tyres for EV application backed with sensor technology.

The Bureau of Energy Efficiency (BEE), Bureau of Indian Standards (BIS) and Ministry of Road Transport and Highways (MoRTH) is planning to introduce star rating, like electric appliances, for tyres based on their rolling resistance, wet grip and rolling noise. In Europe also, the labelling is provided on tyres for rolling resistance, braking on wet surfaces and external noise.

However, India did not have facilities to test wet grip in India till recent times. For the export purpose, the Indian tyre companies used to get their tyres tested for wet grip from outside India.

“In India, the star ratings have been principally agreed and accepted. The levels from 1 to 5 for RR and wet grip have also been finalised for all type of tyres. The star rating will come soon in India,” said Misra. However, the data for wet grip & rolling noise is yet to be generated to confirm the specs so far considered.

Initially, the star rating will be voluntarily for the first two years and then it will become mandatory. “It will be interesting to see how star rating will influence customers’ buying behaviour,” he added.

The company is also establishing its wet grip testing capability. JK Tyre has become the first tyre company in India to buy a traction trailer to test wet grip. The traction trailer has been installed at NATRiP, Indore. International Centre for Automotive Technology and Automotive Research Association of India are in also in the process of certifying complete infrastructure for testing for Indian Tyre Industry for all category of tyres under review.

“Based on the readiness at ICAT and later at ARAI, the tyre industry will generate data on wet grip,” and approach certification body to align the specifications.

The company is currently using the traction trailer for its own purpose and will explore possibilities to provide wet grip testing service to other players in the Indian market.

For the commercial tyre business, the company’s recent breakthrough is Fuel Saver Technology, which saves up to 8% to 10% fuel. The company introduced its fuel-saving technology for its TBR tyres and now it will be brought for tubeless tyres which has also been extended to Tubeless Truck Tyres. The company has also successfully launched a radial mining tyre in the country.

As for as the passenger vehicle tyres, JK Tyre will launch an ultra-high-performance tyre, being developed in Europe. “We have tested our ultra-high-performance tyre up to 300 km/h on one of the best tracks available in Germany by test experts against best in class- tyres. We also picked up an Indian brand which declared their tyre as UHP tyre. Our tyre is far superior in terms of overall- handling, performance, control, wet grip and noise. We will launch this product soon,” said Misra.

In the auto industry, traditional rivals are coming together to meet future demand and tackle various challenges. For instance, BMW and Daimler have come together for autonomous cars. According to reports, the agreement to develop automated driving technology will focus on assisted driving systems, automated driving on highways, and automated parking. However, regarding this Misra does not see possibility of such collaborations on new technology sharing or development in the Indian tyre industry.

“Being a member of various committees in the industry, we had jointly mooted an idea of having a common research and development centre with the support of the Government of India where we have every possible capability for technology development. Even if we get into that, it will not be technology sharing but yes a great platform can get created for Technology development.

For JK Tyre, fuel economy, longevity and safety is paramount for its products. “Safety is expected to be inbuilt, though customers awareness needs to be enhanced. Now fuel efficiency and rolling resistance are gaining traction, particularly from OE perspective. For the aftermarket, longevity continues to be the top priority,” said Misra.

JK Tyre is also building capabilities in various fronts. JK Tyre’s new Research and Development (R&D) facility - Raghupati Singhania Centre of Excellence (RPSCOE) at Mysore has capabilities for all aspects right from testing the raw rubber sourced to creating simulations and predictive techniques for future offerings. Along with the installation of the traction trailer, the company was the first to have the Semi-Anechoic Chamber that uses specialised software for noise, vibration and harshness and data analysis. The company also has a centre of excellence at IIT Madras which is a joint venture between the company and IIT Madras. “We have developed many predictive technologies and other solution at the Centre. The virtual proving ground has been setup where you can establish the actual performance for the tyres on a vehicle without having actual tyres or vehicle. This is a very advanced concept. We are developing lot of techniques to master and get the full benefit in this virtual proving ground. Various data for the vehicles and a tyre is fed into the software and you can put data of any test track and drive the car with different speeds. You can feel the real performance. With this virtual proving ground capacity, we can generate data for tyres and determine what kind of tyres are best suited for a particular car.”

The company also uses a steering robot to collect data to have accurate and objective information.

For two-wheeler tyres, JK Tyre is focusing on tubeless tyres. The company plans to expand its two-wheeler tyre production from the current capacity of 650000 tyres per month. “We are in the process of expanding the range for high-end bikes. We are also planning to penetrate deeper into the OE space,” said Misra. The company is already OE supplier of two-wheeler tyres for Hero and Bajaj.

The biggest challenge for a technical person in the tyre industry is to anticipate the customer requirement stated as well as unstated and develop the right tyre. “The main challenge is to keep improving the performance and keep the cost low,” added Misra.

The Indian customer is very aware and knowledgeable hence continuous upgradation of technology and products is the key to success.

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Artificial intelligence (AI) is beginning to reshape fleet management beyond conventional telematics that merely track vehicles. In India’s fragmented trucking ecosystem, where cost pressures, ageing fleets and operational inefficiencies remain persistent challenges, AI-led platforms are attempting to shift the industry from reactive monitoring to predictive decision-making. Mumbai-based Taabi Mobility Limited is among the companies advancing this shift, using large-scale data analytics to link driver behaviour, vehicle performance and operating conditions, offering fleets actionable insights aimed at reducing costs, improving safety and optimising asset utilisation.

Generally, most fleet management platforms track location, speed and unauthorised stops, making them mainly descriptive and not prescriptive. Mumbai-based Taabi Mobility Limited is changing the narrative leveraging the computing and predictive power of artificial intelligence (AI).

“Our AI solution adds value by correlating thousands of variables like driver behaviour, road conditions, load, ambient temperature, tyre age etc. and continuously learning in real time. It predicts outcomes. Moreover, traditional reports are static, while AI gets more accurate over time, adapting to different routes. Threshold alerts are not just fixed values. AI detects unusual rates of change and alerts proactively,” explained Chief Executive Officer Pali Tripathi.

Alluding to whether the AI platform only analyses data or also guides operators in real time, she explained that alerts differ by user. “Drivers get in-cabin voice alerts about tyre pressure, fatigue, collision risk etc. Fleet operators receive aggregated, actionable insights across many trucks via a live dashboard with critical exceptions highlighted,” Tripathi said.

She added that the effectiveness of AI relies on high-quality data. The control tower suggests actions like contact drivers, schedule maintenance or recommend coaching but does not fully automate vehicle control. Alert volume is configurable to prevent human fatigue.

She noted that the company’s solution also provides specific corrective actions. “A truck from Delhi to Jaipur showing left-tyre vibration and slow pressure drop triggers an alert for the driver to stop at the next halt. Fleet managers are also notified. The system identifies the issue, potential cause and suggested solution, not just the symptom,” explained Tripathi.

Tripathi contended that the fleet management sector in India is seeing multi-modal transport hubs, digitisation, improved road and waterway connectivity and better warehousing and last-mile efficiency. However, the industry is still not fully organised like in developed countries.

Taabi, she explained, is an operations intelligence platform designed to reduce total operational costs per truck by predicting issues rather than relying on fixed schedules. The system monitors vehicle behaviour, load, road conditions and tyre pressure to flag problems early.

“While fleets focus on fuel cost, tyre health directly impacts safety and performance. Fleet interest in tyre solutions is usually part of a holistic cost-reduction strategy rather than a standalone concern. A 10 percent improvement in tyre life can save crores of rupees for large fleets, making investments in platforms like Taabi worthwhile,” said Tripathi.

Companies in last-mile logistics and cement or steel transporters actively track these metrics through Taabi’s solution.

When asked about collaboration with tyre manufacturers and vehicle OEMs for data sharing, Tripathi indicated that such partnerships are still evolving and not yet fully formalised. She noted that major commercial vehicle OEMs along with tyre manufacturers already collect operational data independently for research and product development.

However, the company’s platform currently prioritises a customer-first approach, focusing on empowering fleet operators with actionable insights. Instead of directly supplying data to OEMs, the system enables fleets to use operational intelligence to hold manufacturers accountable for vehicle performance.

FROM GROUND UP

The company currently serves around 1,300 fleet operators across India. Growth is measured in assets deployed rather than just customers, as a single vehicle may use multiple solutions such as OBD devices, video telematics and fuel monitoring systems. Average deployments are about 272 assets per fleet with ranges from 50 to 4,000 assets.

The company has recorded 130–132 percent year-on-year growth, largely driven by expanding deployments within existing customers.

Nonetheless, Tripathi explained that the primary hurdle for the company was building trust in a completely new category of product. “Since fleets had operated for decades without such technology, convincing operators that the platform could deliver measurable value was difficult. We therefore positioned AI not as a replacement for human judgment but as a tool that enhances decision-making, highlighting hidden operational costs such as tyre wear, vehicle inefficiencies and the financial impact of driver behaviour,” she averred.

Another major challenge was the data ‘chicken-and-egg’ problem. AI systems require large datasets to function accurately, but fleet operators were hesitant to adopt the platform without proof of performance.

Although the company had access to global data, it began collecting India-specific road, load and operational data three to four years before launch to train its models. Early adopters and pilot customers were told transparently that the system would improve as more local data was gathered.

A further complexity involved customising the user interface and experience for different sectors. Construction fleets, buses, trucking companies and enterprise operators such as ambulance services all required different dashboards and operational insights. As a result, persona-based interface design became an important part of product development. When discussing adoption among smaller fleet operators, Tripathi noted that fleets with 5–20 trucks typically adopt the solution through larger enterprises or ecosystem partners.

To improve accessibility, the company offers subscription-based pricing similar to mobile phone plans, avoiding large upfront costs. The base plan provides simple alerts and WhatsApp-style notifications. More advanced features are included in Gold and Platinum plans, which deliver deeper analytics and operational insights.

IMPLEMENTATION

Addressing the challenge of deploying AI-based fleet monitoring on older commercial vehicles, Tripathi noted that a large share of India’s truck and bus fleet is 10–20 years old, meaning many vehicles lack factory-fitted OBD or tyre pressure monitoring systems (TPMS).

“To overcome this, we use a matchbox-sized device that plugs into aftermarket OBD ports typically available on trucks manufactured after 2000. The device captures key operational data such as engine performance, speed, RPM, load conditions and fuel consumption,” she noted.

For older vehicles without such capabilities, additional hardware such as fuel tank sensors are installed to track consumption and detect issues like fuel theft or reverse draining. The system can also monitor gensets and auxiliary equipment, while video telematics can be added when required.

Tripathi explained that this approach can actually make the platform particularly valuable for older fleets, enabling both small and large operators to access AI-driven monitoring and predictive maintenance.

The platform also supports intelligent cameras inside the cabin and facing the road, enhancing driver behaviour monitoring and safety analytics. For tyre monitoring, fleets can use external TPMS units, although these are relatively expensive. As a cost-effective alternative, the system derives proxy performance indicators from OBD data and telematics to estimate tyre health and vehicle performance.

“In minimal deployment scenarios, even a driver’s smartphone can provide basic telematics functions such as GPS tracking, route adherence, geo-fencing and idle detection, enabling gradual adoption of digital fleet management tools,” noted Tripathi.

The platform follows strict data security and privacy standards. All operational data is end-to-end encrypted using AES-256 and stored on cloud infrastructure within India through Microsoft Azure. Fleet data remains private to each operator, meaning one fleet cannot access another’s information.

Internally, only aggregated data is used for model training without exposing raw fleet-level details. Any external data sharing is tightly controlled and compliant with India’s Digital Personal Data Protection framework.

MARKET DEMAND

The company views the retrofit segment as the largest opportunity in India, as most commercial vehicles are older and new truck sales represent only a small share of the total fleet. Its strategy is to democratise access to fleet intelligence by enabling AI-driven monitoring on existing vehicles rather than waiting for fleet modernisation.

“We also see growing relevance in commercial EV fleets, particularly in last-mile delivery networks. Our platform acts as an intelligence layer for mixed fleets transitioning from diesel to electric vehicles, helping operators evaluate return on investment, identify suitable routes for EV deployment and manage operational economics. Vehicle-agnostic solutions such as video telematics can be deployed across cars, vans and EV delivery vehicles,” Tripathi contended.

Rather than relying solely on hardware innovation in tyres or vehicles, the company focuses on AI-driven insights derived from sensor data. “Continuous monitoring allows our system to predict performance issues and recommend interventions. The platform functions as an operational intelligence layer, offering voice-based guidance for drivers, cost-optimisation insights for fleet owners and operational support for fleet managers,” averred Tripathi.

Devices installed in vehicles perform round-the-clock monitoring of engine, fuel, tyre and other operational parameters, delivering predictive alerts and actionable insights. By simplifying complex data into clear recommendations, the AI platform aims to improve fleet efficiency, reduce costs and enable smarter operational decisions.

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Michelin North America, Inc. has TreadVision by Michelin Retread Technologies at the Technology & Maintenance Council (TMC) Annual Meeting. This new approach transforms the retreading process by integrating artificial intelligence (AI), robotics and advanced data analytics to boost both the quality and uniformity of retreaded tyres, ultimately enhancing fleet operational efficiency.

A central component of this system is TreadEye. This advanced technology precisely evaluates tread depth by collecting 1,200 measurement points per tyre. It delivers accurate data on tread wear and casing condition, enabling fleets to determine optimal removal points, safeguard casing integrity and minimise unnecessary vehicle downtime.

The TreadVision process further incorporates proprietary automated inspections. These systems utilise AI and predictive modelling to detect subtle imperfections and anomalies that might otherwise be missed. The application of Vision AI to automatically interpret Casing Integrity Analysis results, specifically shearography, introduces a heightened level of objective, real-time quality control. This ensures that only casings meeting strict standards proceed through the retreading line.

In addition to inspection, the technology suite automates the physical handling and flow of tyres, which streamlines plant operations and can accelerate turnaround times. By automatically managing build specifications, TreadVision standardises production parameters, reducing variability and ensuring a more consistent final product.

These advancements in quality assurance and the reduction of human error are designed to produce more reliable retreads, directly supporting fleet uptime. The system is further enhanced by integration with Michelin’s Fleet Business Insights platform, which transforms operational data into actionable intelligence. Fleets gain clearer visibility into performance trends, asset tracking and cost control, optimising tyre management from first use through multiple retread lifecycles.

Janet Foster-Whitley, Senior Director, Enterprise Dealer & North America Retreading, said, “Michelin has a long history of innovation in the mobility space. With TreadVision, we’re driving the industry forward once again. Retreading plays a vital role in helping fleets extend asset life and control operating costs, and we’re evolving the process to deliver greater consistency, improved quality and faster turnaround times.”  

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MICHELIN Connected Fleet, the data-focused fleet management arm of Michelin, has introduced Smart Predictive Tire, a new monitoring solution specifically engineered for the trailers of Class 7 and 8 fleets. This technology is designed to shift trailer tyre management from a reactive to a proactive model by delivering real-time data on pressure and temperature, alongside predictive maintenance alerts. The goal is to empower fleet operators to address tyre health issues before they escalate, thereby minimising unplanned downtime, controlling costs and extending tyre life while enhancing overall vehicle safety.

At the heart of this innovation is Michelin’s proprietary Smart Leak algorithm, which is capable of identifying subtle, early indicators of tyre degradation. By flagging these warning signs promptly, fleet managers can intervene early, avoiding more severe and costly problems. The solution not only helps in preventing roadside emergencies but also supports broader operational efficiency. Maintaining correct tyre pressure through this system can lead to a reduction in fuel consumption and slower tyre wear, contributing to a more sustainable and economical fleet operation.

The effectiveness of Smart Predictive Tire has been evaluated through international pilot programmes in Europe, where participating fleets experienced notable improvements. Data from these trials showed a significant drop (up to 80 percent) in tyre-related roadside events, an increase in the usable lifespan of tyres (up to 9 percent) in cases where chronic under-inflation was previously an issue and measurable fuel savings (up to 4 percent) when optimal tyre pressures were consistently maintained. While these outcomes are promising, Michelin notes that individual results will depend on various factors unique to each fleet, including its size, operational routes and maintenance routines.

Integrated into the company’s Trailer Premium offer, the Smart Predictive Tire solution provides flexible deployment to meet diverse fleet needs, marking a step forward in connected vehicle technology.

Damon Newquist, Vice President – Sales, MICHELIN Connected Fleet, said, “Emergency roadside service continues to be a major pain point for fleets of all sizes, especially with trailers. When there is a tyre-related event, the root cause is overwhelmingly attributed to improper inflation. Michelin’s proprietary Smart Predictive Tire solution uniquely empowers fleet operators with the tools and alerts to address these issues before they become critical. These tools are designed to help extend tyre life, reduce costs and help keep drivers off the side of the road.”

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Triangle Tyre Co., Ltd. has been recognised as an ‘Excellence Level’ facility in the 2026 Shandong Smart Factory Cultivation Library, an accolade announced by the Shandong Provincial Department of Industry and Information Technology. This acknowledgment highlights the company’s significant progress and systematic achievements in intelligent manufacturing.

This provincial initiative is a key strategy to promote new industrialisation and merge the digital economy with the real sector. Enterprises were evaluated and ranked into three tiers – Pioneer, Excellence and Advanced – based on their comprehensive capabilities in digital design, smart production, lean management and sustainable operations. Over 30 businesses from the tyre sector and its related industries, including manufacturing, steel cord, rubber additives and machinery, were selected. Among these, 1 achieved the Pioneer level, 15 attained Excellence and 15 reached the Advanced level.

For years, Triangle Tyre has steadfastly advanced its intelligent manufacturing strategy, focusing on complete process digitalisation and smart system integration. Looking forward, the company remains committed to principles of innovation and green development. It plans to further integrate digital technologies with manufacturing processes, aiming to establish a modern production base that is not only smarter and more efficient but also safer and more environmentally sustainable.

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