Digital transformation is fundamentally a business initiative, not a technology initiative

Saurav Kumar, Managing Director, Protiviti.

The automotive industry is undergoing simultaneous shifts toward electrification, software-defined vehicles, sustainability and supply chain localisation. What do you see as the most critical transformation challenges that automotive OEMs and component manufacturers in India must address over the next five years?

The Indian automotive sector is navigating the most significant transformation in its history. While electrification receives considerable attention, the larger challenge is managing multiple disruptions simultaneously—technology transition, supply chain realignment, evolving customer expectations and increasing regulatory scrutiny.

Passenger EV penetration in India has increased from ~2.5% in 2024 to ~4.4% in 2025 and is expected to exceed 7% by FY28, requiring major investments in batteries, electronics and charging ecosystems. Hence, Indian OEMs and suppliers must build new capabilities in batteries, electronics, embedded software and cybersecurity while continuing to improve cost competitiveness. At the same time, increasing geopolitical uncertainty and regulatory requirements are forcing companies to rethink traditional sourcing and manufacturing models.

The biggest challenge will be balancing innovation with profitability. The organisations that succeed will be those that treat transformation as an enterprise-wide operating model change encompassing technology, talent, governance and supply chain resilience—not merely a product transition.

Automotive value chains are becoming increasingly complex and interconnected. How can companies strengthen governance frameworks and improve risk visibility across suppliers, manufacturing operations, logistics partners and dealer networks to build greater resilience?

Automotive value chains have become significantly more interconnected, making traditional governance models increasingly inadequate. Leading organisations are investing in integrated digital platforms that provide end-to-end visibility across suppliers, manufacturing operations, logistics networks and dealer ecosystems. This enables leadership teams to identify disruptions, quality issues and supply risks before they impact customers.

Equally important is the adoption of risk-based supplier management. Rather than relying on periodic assessments, companies are increasingly using real-time indicators covering supplier performance, financial health, compliance and geopolitical exposure.

The focus is shifting from reactive risk management to predictive resilience, where organisations can anticipate disruptions and respond before they escalate into operational challenges.

Many automotive companies have invested heavily in ERP and digital transformation initiatives. From your experience, what distinguishes organisations that successfully derive business value from these investments from those that struggle to realise expected returns?

The most successful organisations understand that digital transformation is fundamentally a business initiative, not a technology initiative.

Three factors consistently separate leaders from laggards. First, they begin with clearly defined business outcomes such as inventory optimisation, working capital improvement or productivity gains. Second, they simplify and standardise processes before automating them. Third, they establish strong data governance and accountability across the organisation.

Many companies focus on implementation milestones, whereas successful organisations focus on business outcomes. The real value of ERP and digital investments is realised when they improve decision-making, operational performance and financial results—not when systems simply go live.

Our experience shows that organisations generating the highest returns typically focus less on technology implementation milestones and more on measurable business outcomes such as cycle-time reduction, inventory turns improvement, forecast accuracy enhancement and operating margin expansion.

Real-time operational data is often cited as a competitive advantage. How are leading automotive companies leveraging data analytics, AI and digital dashboards to improve decision-making, operational efficiency and profitability across their businesses?

Leading automotive organisations are moving beyond descriptive reporting toward predictive and prescriptive analytics.

At the manufacturing level, AI-driven analytics are being used for predictive maintenance, quality prediction, energy optimisation and production scheduling. These applications help reduce unplanned downtime, improve asset utilisation and enhance throughput.

Within supply chains, advanced analytics support demand sensing, inventory optimisation and supplier risk monitoring. Companies are increasingly leveraging machine learning models to improve forecast accuracy and reduce working capital requirements.

Commercially, integrated dashboards provide real-time visibility into dealer performance, customer demand patterns, warranty trends and after-sales profitability. This enables leadership teams to identify opportunities and risks much earlier than traditional reporting mechanisms.

Some of the recent use cases that we have observed include:

• Predictive maintenance reducing unplanned downtime by 20-40%.
• AI-enabled quality analytics reducing defects and warranty costs.
• Real-time production dashboards enhancing throughput and asset utilisation.

The greatest value comes when operational, financial and customer data are integrated. Organisations that achieve this integration are able to make faster decisions, allocate resources more effectively and improve overall profitability while maintaining operational agility.

Managing extensive vendor ecosystems remains a significant challenge for both OEMs and Tier-1 suppliers. What best practices have you observed in creating stronger supplier collaboration while maintaining quality, compliance and cost competitiveness?

India exported over 5.3 million vehicles in FY25, making supplier reliability and quality increasingly important for global competitiveness. The most effective supplier relationships have evolved from transactional procurement models to collaborative ecosystem partnerships.

Leading organisations focus on supplier segmentation, collaborative planning, shared performance scorecards and digital collaboration platforms that improve transparency across the supply chain. They also invest in supplier capability development programmes to strengthen quality, delivery and innovation performance.

At the same time, strong governance remains critical. High-performing companies combine collaboration with rigorous monitoring of quality, compliance and operational risks. The objective is to create a supply network that is not only cost-efficient but also resilient, compliant and capable of supporting future growth.

Dealer and after-sales networks continue to be a key differentiator in customer experience and brand loyalty. How are automotive companies reimagining dealer operations, service models and customer engagement strategies in response to changing consumer expectations and digital channels?

Customer expectations today are increasingly influenced by digital-first experiences across industries. Automotive companies are responding by redesigning both dealer engagement and after-sales service models.

Leading OEMs are adopting omnichannel approaches that integrate digital research, online transactions, physical dealership interactions and post-sale service experiences into a seamless customer journey.

The role of dealerships is evolving as well. Rather than serving purely as sales outlets, dealers are becoming experience centres focused on customer relationship management and long-term ownership engagement. As vehicles become increasingly connected, customer experience will be a key differentiator alongside product quality and pricing.
Data is also playing a more strategic role. By combining vehicle usage patterns, service history and customer interactions, companies can personalise engagement and proactively address customer needs. In after-sales operations, predictive service reminders, connected vehicle diagnostics, mobile servicing and AI-enabled customer support are becoming increasingly common. These capabilities improve convenience while enhancing customer retention.

Having worked closely with automotive organisations across manufacturing, distribution and retail operations, what are the most common operational blind spots that hinder growth, and how can leadership teams address them proactively?

Several recurring blind spots emerge across automotive organisations regardless of size or market segment.

The first is limited end-to-end visibility across the value chain. Many companies optimise individual functions while losing sight of overall enterprise performance.

The second is data fragmentation and inconsistent reporting. Leadership decisions are often delayed because multiple versions of operational performance exist across different systems.

The third is underestimation of supplier and dealer risks. Governance frameworks frequently focus on internal operations while overlooking ecosystem vulnerabilities.

The fourth is insufficient linkage between operational metrics and financial outcomes. Organisations may track hundreds of KPIs without understanding which metrics truly drive profitability and shareholder value.

The most effective leadership teams address these challenges through integrated performance management, robust data governance and risk-based monitoring frameworks that provide enterprise-wide visibility.

In an environment marked by rapid technological change and evolving market dynamics, how can automotive companies better align operational performance metrics, risk management practices and strategic business objectives to achieve sustainable growth?

Sustainable growth requires organisations to move beyond isolated KPI management and establish a connected performance framework.

Leading companies are increasingly adopting a strategy-to-execution approach where operational metrics, risk indicators and strategic objectives are directly linked. This ensures that daily operational decisions contribute meaningfully to long-term business outcomes.

For example, production efficiency metrics should be connected to profitability objectives, supplier performance indicators should be linked to resilience goals and sustainability measures should align with ESG commitments and regulatory expectations.

The most mature organisations are implementing integrated executive dashboards that combine operational, financial, customer and risk perspectives. This enables leadership teams to evaluate trade-offs more effectively and make balanced decisions.

Ultimately, sustainable growth is achieved when organisations build the capability to anticipate change, respond rapidly and continuously align execution with strategy. In an industry undergoing unprecedented transformation, agility, visibility and disciplined governance will become the defining characteristics of future market leaders.