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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As India’s industrial sector accelerates its shift towards cleaner energy, tyre manufacturers are emerging as a critical test case for integrating renewable power into continuous, high-load operations. In this conversation, Kuldeep Jain, Founder and Managing Director of CleanMax, outlines how demand from companies such as CEAT and Michelin is reshaping renewable procurement – from conventional solar contracts to hybrid, round-the-clock solutions – while positioning clean energy as both an operational necessity and a strategic lever for decarbonisation.

Industrial decarbonisation in India is entering a more operational phase, where renewable electricity is no longer a peripheral lever but an embedded component of manufacturing strategy. For CleanMax, this shift is most visible in energy-intensive sectors such as tyre manufacturing, where continuous processes, global supply-chain pressures and ESG commitments are converging to reshape how power is procured and consumed.

Kuldeep Jain, Founder and Managing Director of CleanMax, describes a market moving beyond cost arbitrage towards structural integration of clean energy. Demand from tyre manufacturers – long characterised by high, stable electricity loads – is now influencing both project design and procurement models, pushing developers towards hybrid and round-the-clock renewable solutions. 

Energy-intensive industries are increasingly prioritising renewable electricity to manage power costs and reduce operational emissions. Manufacturing sectors with continuous loads are particularly suited to long-term renewable procurement models such as group captive and open-access PPAs, which provide cost stability while supporting decarbonisation goals,” Jain says.

That demand is already translating into project pipelines. CleanMax’s collaboration with CEAT involves developing 59 MW of hybrid wind-solar capacity to supply renewable power to its Halol and Kanchipuram plants. Similarly, its engagement with Michelin includes an open-access solar power purchase agreement supporting operations at the company’s Chennai facility.

“These projects illustrate how large industrial consumers are integrating renewables into their long-term energy strategy. For instance, globally, the International Energy Agency has already noted that industrial electrification and renewable procurement will drive the next phase of the energy transition. Tyres are firmly in that wave,” Jain notes.

FROM INTERMITTENT SUPPLY TO ENGINEERED RELIABILITY

Tyre manufacturing presents a distinctive challenge for renewable integration. Plants operate continuous processes – mixing, curing and vulcanisation – that require stable baseload electricity and thermal energy. Traditional solar PPAs, while cost-effective, are inherently intermittent, limiting their suitability for such operations.

The industry is therefore evolving towards hybrid models that combine multiple renewable sources. “Hybrid projects are gaining traction because they smooth generation across the day, improving plant load factors,” Jain says. According to the International Renewable Energy Agency, such hybrid systems are among the fastest-scaling formats for industrial decarbonisation.

“As a result, the industry is moving beyond single-source solar PPAs towards wind-solar hybrid projects and open-access group captive models that provide higher plant load factors and more balanced generation profiles across the day. Wind-solar hybrid is increasingly seen as the most practical and efficient pathway to scale renewable penetration in continuous manufacturing environments,” Jain explains.

This shift reflects a broader reframing of renewables – not as intermittent substitutes for fossil fuel power but as engineered systems tailored to industrial demand curves. The emphasis is on aligning generation profiles with consumption patterns, rather than expecting operations to adapt to variable supply.

SECTOR-SPECIFIC DECARBONISATION PATHWAYS

Not all heavy industries decarbonise along the same trajectory. Jain draws a clear distinction between tyre manufacturing and sectors such as cement or steel, where process emissions form a significant share of the carbon footprint.

“If you step back, industries don’t decarbonise in the same way because they don’t consume energy in the same way. A tyre plant is largely powered by electricity. So if you clean up the electricity, you’ve already addressed a meaningful part of its emissions,” he says.

However, the challenge lies in reliability. “These are continuous operations. They don’t switch off when the sun sets or the wind drops. That’s why hybrid becomes important, as a way of shaping energy to demand,” Jain adds.

“In case of cement or steel, a significant portion of emissions comes from how the product itself is made. So the shift we’re seeing is subtle but important. It’s about redesigning the energy profile itself so that clean energy isn’t intermittent in theory but dependable in practice,” he continues.

The implication is that electrification-driven sectors such as tyre manufacturing can achieve faster decarbonisation gains through renewable procurement, provided supply reliability is addressed through hybridisation and system design.

ESG, PRODUCT STRATEGY AND COMPETITIVE POSITIONING

Renewable energy is also assuming a more strategic role within tyre companies’ ESG frameworks. What began as a cost-management exercise is increasingly tied to product innovation, sustainability reporting and global competitiveness.

“The conversation around renewable energy in the tyre industry has clearly evolved beyond cost optimisation. Many manufacturers are increasingly integrating renewable power into their broader ESG strategies and supply-chain decarbonisation commitments, particularly as global automotive OEMs push for lower-carbon sourcing across the value chain,” Jain says.

This transition is evident at the product level. CEAT’s launch of its SecuraDrive CIRCL tyre – produced with up to 90 percent sustainable materials – signals how manufacturers are aligning product design with sustainability objectives.

“Renewable electricity procurement helps reduce Scope 2 emissions and supports the development of lower-carbon products, which is becoming an important factor in both sustainability reporting and global competitiveness. As a result, renewable energy is now seen not only as a cost-management tool but also as a strategic lever for product decarbonisation and ESG positioning,” Jain explains.

TECHNOLOGY MIX AND OPERATIONAL ALIGNMENT

From a systems perspective, no single technology provides a complete solution. CleanMax advocates a portfolio approach that combines generation assets with digital tools and flexible contracting structures.

“A portfolio approach works best. For manufacturing operations with steady electricity demand, hybrid renewable systems combining solar and wind have proven effective, as the complementary generation profiles improve overall availability and plant load factors,” Jain says.

Digital energy management platforms play a supporting role by optimising dispatch and aligning supply with consumption patterns. Flexible procurement structures, including open-access and group captive models, further enhance adaptability across sites and regulatory regimes.

“In practice, hybrid setups combining solar and wind have proven effective because they smooth generation across the day and improve overall availability. That’s what makes renewable power usable at scale,” Jain adds.

The CEAT and Michelin projects exemplify this approach, integrating multiple procurement pathways – onsite solar, offsite generation and open-access PPAs – to increase renewable penetration without compromising operational stability.

POLICY VARIABILITY AND MULTI-LOCATION STRATEGIES

India’s regulatory landscape remains heterogeneous, with state-level policies shaping the feasibility and economics of renewable procurement. For tyre manufacturers operating across multiple locations, this creates both complexity and opportunity.

“Overall, the ecosystem is steadily evolving to support higher renewable penetration practically. Open-access mechanisms are becoming more aligned with industrial needs. Renewable procurement is naturally becoming more location-specific,” Jain says.

Different state frameworks enable companies to tailor their energy mix – combining onsite solar with offsite wind or solar depending on regional resource availability and regulatory incentives.

“In practice, this leads to more balanced and resilient energy portfolios. This is also where developers with experience across markets can add value by structuring solutions that are aligned to each site’s load profile, regulatory context and long-term cost objectives, rather than taking a one-size-fits-all approach,” Jain explains.

GLOBAL SUPPLY CHAINS AND RISING EXPECTATIONS

Pressure from global automotive OEMs is accelerating the adoption of renewable energy in India’s tyre sector. As manufacturers integrate more deeply into international supply chains, emissions performance is becoming a criterion for sourcing decisions.

“As tyre manufacturers become more integrated with global OEM supply chains, expectations around emissions are becoming more defined. Renewable electricity is one of the more immediate ways to address this, especially for Scope 2 emissions,” Jain says.

“What we’re seeing is more about alignment – companies are adapting their energy mix to stay relevant in global markets, where sustainability is increasingly part of how sourcing decisions are made,” Jain says.

This dynamic is likely to intensify as OEMs tighten decarbonisation targets and extend accountability across their value chains, reinforcing the role of renewable energy in industrial competitiveness.

THE NEXT FRONTIER: TRACEABILITY AND CARBON MARKETS

As companies move towards net-zero targets, the focus is broadening beyond direct emissions to include value-chain impacts and verification mechanisms.

“Instruments such as renewable energy certificates and carbon markets help companies transparently account for the renewable electricity they procure. At the same time, there is growing focus on Scope 3 reporting as manufacturers work to address emissions across their broader value chains and align with global supply-chain decarbonisation expectations,” Jain says.

Traceability – ensuring that renewable energy claims are verifiable and auditable – is expected to become increasingly important, particularly for export-oriented manufacturers facing stringent disclosure requirements.

A DECADE OUTLOOK: ACHIEVABLE, BUT CONDITIONAL

Looking ahead, Jain is cautiously optimistic about the pace of renewable adoption in India’s tyre manufacturing sector. The fundamentals – declining costs, expanding capacity and supportive policy evolution – are largely in place.

“Over the next decade, higher renewable penetration in tyre manufacturing is well within reach, especially as clean power availability continues to expand. For electricity-led operations, increasing the share of renewable energy is already a practical pathway, not a distant target,” he says.

However, execution will hinge on system-level factors. “What will make the difference is how reliably this power can be integrated at scale – through consistent open-access frameworks, stronger grid alignment, and wider use of hybrid solutions that better match continuous industrial demand,” Jain says.

The trajectory is clear: renewable energy in tyre manufacturing is transitioning from opportunistic adoption to structural integration. For developers such as CleanMax, the challenge – and opportunity – lies in engineering solutions that convert intermittent resources into dependable industrial infrastructure.

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Wallace Instruments, a globally recognised leader in rubber testing equipment, has expanded its United Kingdom-manufactured specimen preparation lineup with the launch of the WAS3 Pneumatic Cutting Press. The new device joins the company’s range of rubber testing equipment.

Unlike manual cutting methods, pneumatic systems apply consistent force on every cycle, eliminating operator fatigue and variability. Poorly prepared specimens with uneven edges or internal stress can compromise test accuracy, while the pneumatic approach also reduces repetitive physical strain, supporting technician wellbeing during long production runs.

The WAS3 prioritises safe single-operator use through a two-button activation system requiring both buttons to be pressed within half a second, preventing any hand contact with the cutting area. Additional three-sided protective guards further enhance operational safety.

Delivering 15 kN of cutting force, the press easily cuts through 10-mm thick, 95 Shore A rubber sheet using five bar of filtered air pressure. It works with existing Wallace cutting dies, so laboratories can integrate the unit without replacing current tooling, and its compact footprint suits both lab and production environments.

Chris Norval, Managing Director, Wallace Instruments, said, "Specimen preparation is the foundation of accurate rubber testing. With the WAS3, we focused on practical safety, dependable cutting performance and drop-in compatibility. Labs get a compact pneumatic press that fits the air lines already in place, uses their current Wallace dies and delivers consistent results for every operator – because when specimen quality is controlled, you can have confidence in the results that follow."

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DUNLOP (company name: Sumitomo Rubber Industries, Ltd.) has teamed up with Fujitsu Limited to create an artificial intelligence (AI) surrogate model that predicts tyre performance rapidly and with high precision. The breakthrough was validated in a proof of concept tied to DUNLOP’s digital transformation strategy. When applied to tyre deformation upon road contact, the technology slashed analysis time by 90 percent, from 45 minutes to just 5 minutes while processing nearly 600,000 mesh elements.

Based on these results, both firms will build a design support tool, aiming for deployment at DUNLOP by April 2027. The system runs on FUJITSU MONAKA, a next-generation energy efficient Arm-based CPU.

Tyre design typically relies on finite element method (FEM) analysis, where finer mesh grids boost accuracy but increase calculation time and costs. To tackle this, the partners developed an AI surrogate model that solves FEM equations using past data. The model, based on the Graph Neural Network algorithm, predicted contact shape with 87.7 percent accuracy, enabling faster decisions and lower costs.

Select findings will be shared at the 31st Computational Engineering Conference starting 3 June 2026. By December 2026, both companies will test the model on a FUJITSU MONAKA prototype to refine speed and power use.

Under its long-term strategy R.I.S.E. 2035, DUNLOP seeks to provide new experiential value from rubber. Through this co creation, the tyre maker will enhance its analytical technologies and strengthen innovation. Fujitsu will promote this approach across large scale FEM analysis in automotive and other manufacturing sectors, contributing to carbon neutrality via an AI platform combining FUJITSU MONAKA and GNN.

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Starrett-Bytewise has appointed GL Inspect GmbH as its new European sales representative. The German firm, led by Christian Lantzsch and based in Hargesheim, will oversee regional operations. The partnership aims to provide local expertise for demanding measurement challenges across tyre plants, steel mills and extrusion lines.

Lantzsch and the GL Inspect team bring a sophisticated understanding of non-contact metrology. Their technical background aligns with the diverse industrial sectors served by Starrett-Bytewise, ensuring that European customers receive support tailored to specific materials and production environments. The collaboration strengthens local technical knowledge and on-site application assistance.

Under this agreement, European customers gain direct access to local consultations and expanded on-site evaluations led by Lantzsch’s team. Laser measurement solutions can be better integrated into individual production lines. The partnership also streamlines communication and support, building on existing European infrastructure to enable seamless transitions to automated in-line inspection.

The appointment represents a significant investment in European infrastructure. Having GL Inspect on the ground shortens the distance between Starrett-Bytewise’s U.S. engineering team and local factory floors. Faster application assessments, more frequent site visits and industry-specific language support are key outcomes of the new arrangement.

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