42 Integrated Annual Report 2025-26 AI in Manufacturing MATRIX, our Manufacturing AI framework, represents Mahindra's structured approach to embedding intelligence across the factory floor. Spanning five dimensions — agility, quality, uptime, energy and connectivity — MATRIX deploys AI not as a standalone tool but as an integrated capability woven into how our plants operate, decide and improve. From dynamic production planning and weld integrity monitoring to predictive maintenance and energy optimisation, each pillar addresses a specific lever of manufacturing performance. Together, they form a cohesive system that continuously learns and adapts, raising the bar for what our facilities can deliver. Some key digital initiatives include: • Smart Sequencing Digital Twin enabled real-time progress visibility, rescheduling, and faster production planning. • IT/OT Network Separation enhanced shop-floor security, asset visibility, and risk management. • Logistics and Warehouse Simulations improved congestion analysis, resource optimisation and capacity planning decisions. Highlights • Overall auto production surpassed 1.1 million units (including Mahindra Last Mile Mobility and Truck & Bus). • ESG: ▪ 56% reduction in carbon emissions achieved per vehicle over 5 years, supported by increasing renewable energy share to Auto sector operations. ▪ Resource efficiency improved with 36% reduction in freshwater consumption per vehicles and 12% reduction in waste generation, over last 5 years. Milestones CHAKAN PLANT Produced a record-high 4.6 lakh vehicles in FY26, growing 18% over FY25 NASHIK PLANT Delivered its highest-ever production with 3.2 lakh vehicles, growth of 19% over FY25 IGATPURI PLANT Set its all-time high production with the roll-out of 5.1 lakh engines in FY26 Farm Sector Backed by decades of market leadership, Mahindra is committed to transforming farmers’ lives globally by democratising technology. Our farm manufacturing continues to power the business and drive operational excellence, strengthening the foundation of our leadership in the sector. Key Initiatives Digital interventions across Farm manufacturing are focused on delivering two core outcomes — superior quality and enhanced throughput. • Inspection with Vision AI: Automated inspection of critical assembly processes through machine learning. • Deskilling with machine-driven processes: Machine-guided processes reduce manual intervention for critical assembly operations, with complete traceability at each node. • Automated subassembly sequencing: Integrating shop floor lines and functions through scheduling tools to eliminate redundancies.
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