Tata Motors Leverages AI to Build Vehicles, Improve Quality and Analyse Customer Demand

Tata Motors Passenger Vehicles (TMPV) has identified artificial intelligence (AI) as a key component of its growth strategy, deploying the technology across product development, manufacturing, quality control, after-sales service and workforce management.  

According to the company's FY26 annual report, AI is playing an increasing role in supporting connected vehicles, software-defined vehicle development, and operational efficiency. 

Tata Motors Expands AI Deployment Across Operations 

In its FY26 annual report, Tata Motors said it is building capabilities in software-defined vehicles, connected technologies, advanced electronics and a digitally enabled value chain to improve product competitiveness and customer experience. 

The company has deployed an in-house network of AI agents that analysed more than 1.6 billion customer data points across social media platforms, videos, and online conversations during the year. The system is used to track customer sentiment, identify emerging trends, benchmark competitors, and support product planning and business decisions. 

Managing Director and Chief Executive Officer Shailesh Chandra said AI deployment expanded significantly during FY26. He stated that the company deepened the use of artificial intelligence across operations to improve product quality, manufacturing efficiency, and workforce safety. 

Focus on Software-Defined Vehicles 

Tata Motors is accelerating the development of software-defined vehicles (SDVs), which are expected to support its next generation of passenger vehicles. 

The company said its upcoming t.idal software architecture will serve as the digital backbone for future products, enabling connected features and over-the-air software updates. 

NVIDIA Partnership Supports AI Development 

Through its collaboration with NVIDIA, Tata Motors is developing advanced driver-assistance systems, AI-powered vehicle features and connected technologies. 

The partnership also extends to manufacturing and engineering operations. Tata Motors and Jaguar Land Rover are using NVIDIA's Omniverse platform to create digital twins of manufacturing facilities and simulate vehicle development processes. 

According to the annual report, engineers can now conduct approximately 1,500 aerodynamic simulations per day compared with around 50 earlier, helping accelerate product development timelines. 

AI Adoption in Manufacturing and Customer Service 

The company has deployed AI-powered vision systems, condition-based monitoring tools, and digital quality-control platforms to identify defects at earlier stages and improve production consistency. 

AI is also being integrated into customer-facing operations, including spare-parts forecasting, service advisory functions, damage assessment and dealer-service quality monitoring. 

According to the company, these initiatives are aimed at improving vehicle uptime, reducing repair waiting times, and enhancing customer satisfaction. 

Read More: Tata Motors Passenger Vehicles' JLR Targets Double-Digit Revenue Growth with New Electric Models 

Tata Motors' R&D Spending in FY26 

Tata Motors spent ₹2,836 crore on research and development during FY26. The company said software-defined vehicles, advanced electronics, artificial intelligence and next-generation mobility technologies remain among its key focus areas. 

Tata Motors Share Price Performance 

Tata Motors Passenger Vehicles share price was trading at ₹363.20, up 1.03%, as of 2:23 PM on June 22, 2026. The stock opened at ₹362.00 and touched an intraday high of ₹370.50 during the session.  

The company's market capitalisation stood at ₹1,33,755.07 crore. 

Over the past 1 month, Tata Motors Passenger Vehicles share price was largely flat with a return of -0.04%, compared with a 1.70% gain in the Nifty 50 index.  

Conclusion 

Tata Motors continued to expand the use of artificial intelligence across multiple business functions during FY26. The company is using AI in product development, manufacturing, customer service, safety, and workforce management while increasing its focus on software-defined vehicles and connected mobility technologies. 

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