As sustainability shifts from a peripheral agenda to a core operational mandate, supply chains are emerging as the real battleground for impact. In this conversation, Avinash Gupta, Global SCM Head, Solar Industries India Ltd., unpacks how governance, data transparency, and ecosystem collaboration are redefining decision-making across multi-tier supply networks—turning sustainability from a reporting exercise into a measurable, value-driven strategy.
Sustainability is increasingly becoming a system-wide priority rather than an individual initiative. How is this shift reshaping decision-making, governance, and accountability across the automotive value chain?
The shift of sustainability from an individual initiative to a system-wide priority is fundamentally transforming the automotive industry's governance, accountability, and operational logic. This evolution is driven by a clear realization: Scope 3 emissions—those occurring across the indirect value chain—represent the majority of an organization’s carbon footprint, often exceeding 90%. This is forcing organizations to move beyond internal optimization toward ecosystem-wide alignment.
Sustainability is now being embedded into the core of daily business operations through centralized management structures and board-level oversight. For instance, Mercedes-Benz Group has institutionalized this through its Group Sustainability Committee (GSC), which manages sustainability priorities across departments and regions in line with board-approved targets. This reflects a broader shift where sustainability is governed with the same rigor as financial and operational performance.
At the same time, accountability is becoming more structured and performance-linked. Executive remuneration is increasingly tied to sustainability outcomes such as carbon reduction and transformation milestones, ensuring that leadership ownership moves beyond intent to measurable delivery. Regulatory frameworks, including the EU’s Corporate Sustainability Due Diligence Directive (CSDDD), are further accelerating this shift by extending accountability across the entire value chain and introducing legal and compliance implications for inaction.
Decision-making itself is becoming more data-driven and multidimensional. Tools such as Double Materiality Assessments (DMA) are enabling organizations to evaluate not only their environmental and social impact but also how these factors translate into financial risk and long-term value creation. This is fundamentally changing how trade-offs are assessed—bringing sustainability into the same decision framework as cost, risk, and growth.
From an India perspective, the direction is aligned but the execution is more framework-led and adaptive. Governance is increasingly anchored in board-level structures such as Safety, Health and Sustainability (SHS) committees, which oversee ESG performance and implementation. Organizations are also deploying structured internal frameworks like the TATVA circular economy model—with defined metrics to track resource efficiency—and DEI-focused lighthouse approaches to embed inclusion alongside environmental priorities.
Scope 3 emissions remain the most complex challenge. What practical steps are needed to drive accountability and measurable progress across multi-tier supply chains, especially including Tier 2 and Tier 3 partners?
Driving measurable progress across Tier 2 and Tier 3 partners requires a decisive shift from estimated industry averages to primary, supplier-level data. Without this transition, accountability tends to remain indicative rather than actionable, limiting the ability to drive meaningful change across the value chain.
A critical lever in this process is the formalization of expectations through contractual mechanisms. OEMs are increasingly deploying “Ambition Letters” and Responsible Sourcing Standards that require Tier 1 suppliers to cascade sustainability requirements to their upstream partners. This creates a structured pathway for extending accountability beyond immediate supplier relationships into deeper tiers of the supply chain.
At the same time, technology—particularly artificial intelligence—is strengthening the integrity and scalability of this approach. AI-driven systems are being used to automate the scraping of public datasets and validate supplier-reported emissions against industry benchmarks, enabling the identification of inconsistencies and improving data reliability. Complementing this, federated learning models allow multiple suppliers to contribute emissions data into shared analytical frameworks without exposing sensitive information—balancing transparency with data sovereignty while enhancing collective accuracy.
Scope 3 emissions, particularly those arising from purchased goods and the use of sold products, continue to represent the largest share of the carbon footprint. Addressing this effectively requires embedding sustainability across the entire supplier lifecycle, rather than treating it as a downstream compliance exercise.
Structured Sustainable Supply Chain Frameworks are enabling this integration by incorporating sustainability considerations at every stage—from supplier onboarding to ongoing performance management. Supplier Codes of Conduct (SCoC), covering environmental, labor, and human rights standards, are now embedded as mandatory components of procurement processes, setting clear expectations from the outset.
This is reinforced through rigorous assessment mechanisms. Suppliers are evaluated through annual ESG Assessment Questionnaires (SAQs) and periodic site audits that include dedicated sustainability pillars, allowing organizations to identify risks, benchmark performance, and drive continuous improvement across tiers.
Equally important is the role of collaborative platforms in translating intent into action. Forums such as Aikyam (Unity) facilitate dialogue, knowledge sharing, and the development of “lighthouse” projects focused on renewable energy adoption and waste reduction. These platforms play a critical role in bringing Tier 2 and Tier 3 suppliers into the sustainability journey, not just as participants, but as active contributors to system-wide progress.
How is sustainability influencing supply chain decisions—from sourcing and supplier selection to localization and network design?
Sustainability is now a mandatory criterion in procurement and awarding processes, shaping decisions across sourcing, supplier selection, and network design rather than being treated as an overlay. In sourcing, there is a clear shift toward CO?-reduced production materials such as green steel, recycled aluminum, and bio-based composites. For instance, BMW has incorporated natural fibers like hemp and flax to reduce vehicle weight and improve lifecycle sustainability. This reflects a broader move where material choices are increasingly evaluated not just on performance and cost, but on embedded carbon and lifecycle impact.
Localization and network design are being reconfigured through a decarbonization lens. There is a growing emphasis on closed-loop systems and localized supply chains to reduce transport-related Scope 3 emissions while also strengthening resilience. Internal carbon pricing is emerging as an important decision tool, with leading organizations assigning a cost to carbon to evaluate trade-offs between emissions and financial considerations during strategic planning and product development.
Sustainability is also becoming central to supplier selection and governance. New suppliers are scrutinized through enhanced Manufacturing Site Audits that include dedicated sustainability pillars, ensuring ESG performance is assessed alongside traditional parameters. Environmental Procurement Policies further institutionalize this by aligning purchasing practices with broader sustainability commitments and minimizing potential risks.
From an India perspective, localization is gaining added momentum—not only as a resilience strategy but as a sustainability imperative. In the EV ecosystem, there is a strong push toward achieving 75–80% localization at the Tier 1 level, enabling both reduced logistics emissions and stronger domestic value chains. Network design is evolving in parallel, with strategic innovation hubs—such as the Open Innovation Hub in Bangalore—positioned closer to engineering teams and startup ecosystems to enable co-creation and faster deployment of sustainable solutions.
What role do digital technologies and data transparency play in enabling traceability, real-time decision-making, and effective sustainability management?
Digital technologies are emerging as the backbone of effective sustainability management, enabling traceability and real-time decision-making by creating reliable ‘Single Sources of Truth’ for emissions and resource data across the value chain. One of the most significant developments in this space is the emergence of Digital Battery Passports, which enable structured collection and sharing of data related to raw material origins, sustainability performance, and battery health. This level of transparency is critical in supporting circular business models, including second-life applications and end-of-life recycling.
At a broader ecosystem level, standardized data exchange platforms such as Catena-X are enabling secure and sovereign data sharing across value chain participants. These platforms allow organizations to move beyond averaged estimates toward product-specific carbon footprints based on primary data, significantly improving accuracy and comparability.
Artificial intelligence is adding a predictive dimension to sustainability management. AI-driven models are being used to forecast future emissions based on business growth trajectories and planned decarbonization initiatives, allowing organizations to proactively adjust strategies rather than respond retrospectively.
Digital tools are also the primary enablers of real-time operational management. Traceability systems such as the International Dismantling Information System (IDIS) provide dismantlers with detailed information on material composition, particularly for non-metallic parts, supporting more efficient recycling and end-of-life circularity. At the shop-floor level, Industry 4.0 technologies and IoT are being used to digitally track energy consumption in real time and monitor operational safety through AI-enabled systems. This ensures not only improved efficiency but also greater transparency in operational performance.
Connected vehicle platforms further extend this capability into the use phase. Solutions such as Fleet Edge leverage real-time diagnostics and telematics to enhance vehicle uptime and optimize fuel efficiency through data-driven insights. Beyond operations, AI is also being applied to infrastructure planning. Geo-spatial analytics models are being used to optimize the deployment of EV fast-charging networks based on traffic density and usage patterns, ensuring that infrastructure investments are both efficient and aligned with actual demand. Together, these digital capabilities are enabling a shift from static reporting to dynamic, data-driven sustainability management—where decisions are informed by real-time insights and lifecycle visibility.
Collaboration is critical in a fragmented ecosystem. What models or approaches are most effective in aligning OEMs, suppliers, logistics partners, and smaller stakeholders toward common sustainability goals?
In a fragmented ecosystem, the most effective approaches are those that move beyond bilateral, transactional relationships toward structured, multi-stakeholder collaboration. Sustainability challenges—particularly those linked to lifecycle emissions and circularity—cannot be addressed in isolation, making alignment across the value chain essential.
At a global level, multi-stakeholder initiatives are emerging as powerful models for collective action. Platforms such as the Circular Cars Initiative bring together over 40 companies, research institutes, and NGOs to maximize resource value and minimize lifecycle emissions. Similarly, the Global Battery Alliance has demonstrated how coordinated efforts across the value chain can enable innovations such as battery passports, creating shared standards for transparency and traceability.
Complementing these are supplier-focused support programs that help extend sustainability beyond Tier 1. Initiatives like Schneider Electric’s Catalyze program leverage digital and AI-enabled platforms to provide smaller suppliers with access to renewable energy solutions and financial insights—ensuring that ecosystem participation is both inclusive and scalable.
From an India perspective, collaboration models are evolving toward partner-led ecosystems anchored in shared vision and execution. Programs such as Project Aalingana (Embrace) align multiple group companies toward common goals around Net Zero, circularity, and biodiversity, creating a unified direction across diverse business units. Similarly, Tata UniEVerse represents a synchronized effort to build a holistic e-mobility ecosystem by integrating OEMs, charging infrastructure providers, and financing partners—demonstrating how collaboration can extend beyond manufacturing into enabling infrastructure.
Circularity-focused models are also gaining traction. The Re.Wi.Re (Recycle with Respect) framework uses franchise-based partnerships to scale vehicle scrappage and recycling capacity, making end-of-life management more distributed and accessible. In parallel, open innovation is becoming a key enabler of ecosystem alignment. Partnerships with technology players and startups—such as ev.energy and Freight Tiger—are accelerating the development of software-defined vehicles and grid-responsive charging solutions, bringing agility and innovation into traditionally linear value chains.
These approaches highlight that alignment is most effective when anchored in shared standards, enabled by common platforms, and supported by mechanisms that ensure participation across all tiers of the ecosystem.
Looking ahead, what will define leadership in a sustainable automotive ecosystem over the next 5–10 years, particularly in markets like India where ambition and execution often diverge?
Leadership in a sustainable automotive ecosystem will increasingly be defined by the ability to move beyond incremental improvements toward higher levels of circularity—particularly Level 3 to Level 5—where vehicles deliver maximum mobility per unit of resource consumed and emissions generated. This represents a shift from linear production models to systems that are regenerative by design.
A critical differentiator will be the speed of decarbonization. The ability to rapidly bring economical Battery Electric Vehicles (BEVs) to market will determine competitive positioning, especially as new and agile players continue to reshape the industry landscape. At the same time, leadership will be anchored in lifecycle ownership. Organizations will move from traditional product-centric models toward mobility-as-a-service (MaaS), taking responsibility for the entire vehicle lifecycle—from design and usage to end-of-life recovery and reuse.
In markets like India, the defining challenge will be the ability to bridge ambition and execution. While high-level commitments are increasingly common, leadership will depend on translating these into tangible outcomes across supply chains, manufacturing operations, and supporting infrastructure. For instance, companies like Mercedes-Benz Group have already initiated sustainability dialogues in India, but the real test lies in scaling these into measurable actions.
This will also require clear and credible pathways to Net Zero. Leading organizations will align with science-based targets, with ambitions such as achieving Net Zero emissions by 2040 for passenger vehicles and 2045 for commercial vehicles. Beyond carbon, leadership will expand into resource and ecological dimensions. This includes achieving RE100 (100% renewable electricity), Water Neutrality, and Zero Waste to Landfill by 2030, as well as advancing biodiversity stewardship through frameworks like Science-Based Targets for Nature (SBTN), which aim to deliver a net positive impact on ecosystems.
Finally, leadership will also be defined by inclusive and equitable growth. Integrating vulnerable and marginalized communities—including persons with disabilities (PWDs) and underserved groups—into the workforce and supply chain as active “partners of purpose” will become an essential component of a truly sustainable ecosystem.
Can you share a specific sustainability initiative or case study where your organization (or ecosystem partners) delivered measurable environmental and business impact? What were the key enablers, challenges, and lessons learned?
A large automotive Tier 1 supplier’s sustainability journey was shaped by structural constraints typical of the sector. Scope 3 emissions dominated the footprint, with purchased steel alone accounting for 57%, while total emissions increased from 238K to 281K tCO?e as business growth outpaced efficiency gains. In addition, hard-to-abate processes such as forging—requiring ~1,200°C heat—remained difficult to decarbonize, with technologies like green hydrogen and green steel not yet commercially viable at scale.
In response, the company focused on building visibility and control where possible. A critical inflection point was achieving 100% visibility across Scope 1, 2, and 3 emissions, revealing that 67% of its footprint originated in the supply chain. This shift from estimation to measurement, aligned with the GHG Protocol, enabled targeted and data-driven interventions.
Strong governance and structured execution underpinned the transformation. A board-level ESG committee ensured accountability, while science-based targets aligned to a 1.5°C pathway created internal momentum. The adoption of ISO 50001 brought discipline to energy management, and initiatives across energy efficiency, solar, and waste heat recovery delivered a reduction of ~65,500 tCO?e.
This translated into both environmental and business impact. The company improved its CDP Climate Rating from ‘F’ (Failure) to ‘B’ (Management level), while its S&P Global ESG score increased from 18 to 46 and EcoVadis score from 37 to 52. A ?90 crore decarbonization investment portfolio delivered ?33 crore in annual savings, with an average payback period of 2.7 years. Proactive carbon management also enabled the retention of key contracts with global OEMs such as BMW and Mercedes-Benz Group, while mitigating exposure to regulations like the EU’s Carbon Border Adjustment Mechanism (CBAM), which impacts 30% of its export-linked revenue.
The journey reinforced a few critical lessons. Credibility starts with transparent measurement, even when it highlights challenges such as rising absolute emissions. It also showed that organizations should not wait for perfect data or fully mature technologies—early commitment drives momentum. Most importantly, a credible decarbonization strategy follows a clear hierarchy: Avoid (redesign), Reduce (efficiency), Replace (renewables and green materials), and Offset only as a last resort for the final residual emissions. Increasingly, carbon performance is not just a compliance metric—it is a qualification criterion for competing and winning in global supply chains.
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