Key Quantitative Figures
- Estimated annual incremental revenue potential: Approximately ₹80 crore
- One-time tooling revenue: Approximately ₹30 crore
- Total contract value: ₹110 crore (combined annual and tooling revenue)
- Number of components: Four critical components for hatchback applications
Parties Involved
- Supplier: Autoline Industries Limited (BSE: 532797 | NSE: AUTOIND)
- Customer: Tata Motors Passenger Vehicles Limited
Manufacturing Capabilities Highlighted
The disclosure emphasizes Autoline's advanced manufacturing capabilities that supported the award:
- Industry 4.0 integration with connected systems, real-time production monitoring, and data analytics
- Advanced automation and robotic manufacturing for enhanced quality and productivity
- Integrated engineering and tooling capabilities supporting product development
- Scalable manufacturing infrastructure for higher customer volumes
- Energy efficiency and responsible manufacturing practices
Management Commentary
Mr. Shivaji Akhade, Managing Director of Autoline Industries Limited, stated:
- The award reflects strength of Autoline's engineering and manufacturing capabilities
- Demonstrates continued confidence from Tata Motors Passenger Vehicles Limited
- Focus remains on disciplined execution across quality, cost, delivery, and capacity readiness
- Strengthens relationship with Tata Motors and supports sustainable growth strategy
- Commitment to creating long-term value for customers, shareholders, employees, and stakeholders
Company Background
Autoline Industries Limited, established in 1996, is a Pune-based auto components manufacturer supplying sheet metal components, assemblies, and sub-assemblies to OEMs. The company supplies over 3000 products for passenger cars and commercial vehicles across more than 9 manufacturing facilities with in-house design and engineering services.
Forward-Looking Statements
The document includes safe harbor language noting that statements about future status, events, or circumstances are forward-looking statements based on estimates subject to numerous risks and uncertainties, and actual results may differ materially from those anticipated.