.png){kind=logo}
Technology is redefining fleet management, shifting the industry from manual, reactive practices to intelligent, data-driven operations. As fleets face growing demands for safety, efficiency, and sustainability, artificial intelligence and real-time analytics are becoming central to how mobility assets are monitored, maintained, and optimized.
In a recent episode of the Analytics Insight podcast, host Priya Dialani spoke with Pali Tripathi, CEO of Taabi Mobility, about this transformation in the mobility ecosystem. With data and AI increasingly shaping fleet decisions, the conversation explored how predictive intelligence is replacing traditional maintenance models and enabling safer, more reliable journeys. Priya highlighted that fleet management is no longer just about tracking vehicles, but about building trust, reducing risk, and creating a more sustainable future for mobility.
Pali explained that Taabi Mobility was built with the idea of creating trust on the road. Inspired by the Japanese word “Tabi,” meaning journey, the company focuses on making every journey safer and more predictable.
Taabi Mobility works as an AI-led asset intelligence platform that supports trucks, buses, construction equipment, and power assets.
By using OBD-based data, predictive maintenance, and real-time analytics, the platform helps fleet operators reduce downtime, control costs, and improve daily operations.
The podcast also explored Pali’s professional journey across manufacturing, consulting, and strategy roles. These experiences shaped a problem-solving approach that combines technology, people, and processes.
The discussion highlighted the importance of keeping multiple stakeholders in focus, including drivers, maintenance teams, fleet owners, and business leaders. This broad view has helped Taabi Mobility design solutions that solve real-world challenges at scale.
A key theme of the conversation was the shift from reactive maintenance to predictive maintenance.
Pali Tripathi explained that unexpected breakdowns often lead to higher costs, delays, and safety risks. Predictive maintenance changes this by helping fleets understand what may fail and when.
This allows planned repairs, better asset use, and smoother operations, while also reducing fuel waste and emissions.
The podcast concluded with a discussion on sustainability in India’s mobility sector. Predictive maintenance and OBD-based intelligence were highlighted as practical ways to lower emissions, extend asset life, and reduce logistics costs.
The conversation emphasized that data-driven fleet intelligence is becoming a strong foundation for cleaner, safer, and more efficient mobility in the years ahead.
