Skip to main content

      Autonomous, intelligence-driven manufacturing and supply chain operations

      KPMG in India as a strategic transformation partner capable of guiding industrial enterprises from operational visibility to autonomous, intelligence-driven manufacturing and supply chain operations.

      In an era where industrial organisations are under increasing pressure to improve profitability, resilience, sustainability, and customer responsiveness, the transition from traditional operations to intelligent operations has become a strategic imperative. Our practice works with clients across Metals and Mining, Oil & Gas, Bulk Chemicals, Renewables, Power & Utilities, Pharma, Automotive OEMs and Auto Components, and Electronics Manufacturing to architect and deliver this transformation at scale.


      How can KPMG in India help?

      Our service approach spans three integrated levers of value creation for our clients. 

      Business transformation layer


      At the business transformation level, we help organisations redefine how value is created and sustained exploiting the emerging Industry4.0 toolkit. 

      Executive teams to identify opportunities

      We work alongside executive teams to identify opportunities for cost reduction, operational excellence, asset productivity improvement, working capital reduction, and enhanced customer satisfaction. Through rigourous business case development and transformation roadmaps, we ensure that operational technology investments remain tightly aligned with measurable business outcomes. The focus extends beyond efficiency improvements to building adaptive enterprises capable of responding rapidly to market dynamics and evolving customer expectations

      Design and implement advanced solutions

      As KPMG in India, we support our clients to help design and implement advanced solutions that enable organisations to move beyond descriptive monitoring towards predictive and autonomous decision-making hence terming it the next generation operational intelligence and solutions. Leveraging Advanced Analytics, Artificial Intelligence, Machine Learning, Digital Twins, and real-time Operational Intelligence digital platforms, we create digital systems that continuously learn from operational data and provide actionable insights. Our expertise encompasses predictive process streamlining, energy optimisation, production planning enhancement, supply chain intelligence, and real-time decision support built upon robust and modern IT-OT architectures

      Modern manufacturing AI-based architectures

      With KPMG in India’s Modern Manufacturing AI-based architectures, we help organisations establish future-ready digital foundations built around a Unified Namespace (UNS) approach that provides a single source of contextualised operational truth across the enterprise. This is complemented by the implementation of industrial knowledge graphs, enabling relationships between assets, processes, products, events, and business entities with a Semantic context, Ontology and Inference   to be explicitly modelled and continuously enriched. We advise clients on emerging interoperability standards such as Model Context Protocols (MCP) to facilitate secure and governed interactions between AI systems, operational technologies, and enterprise applications, all smoothly

      Next-generation operational intelligence AI based platforms solutions

      A defining feature of next-generation operational intelligence AI based platforms solutions is the emergence of context-aware Agentic AI systems. Unlike traditional dashboards that merely report what has happened, we as KPMG in India now deploy Industry 4.0 solutions in the Agentic sense i.e. our clients may through such agents continuously interpret operational context, analyse emerging patterns, and orchestrates intelligent workflows across the enterprise. Such modern solutions and systems can proactively identify deviations, recommend interventions, trigger maintenance work orders, escalate exceptions to relevant stakeholders, and support operators with role-specific operational guidance. The result is a shift from reactive management to autonomous, continuously improving operations

      Predictive Intelligence for asset reliability and maintenance excellence

      Our solution also emphasise Predictive Intelligence for asset reliability and maintenance excellence. By combining sensor data, historical maintenance records, process conditions, and machine learning techniques, all enabled through a modern interoperable architecture, organisations can anticipate equipment failures before they occur. This significantly reduces unplanned downtime, optimises spare parts inventories, improves asset utilisation, and enhances workforce productivity. The transition from preventive to predictive maintenance directly contributes to increased operational resilience and reduced total cost of ownership

      AI-driven anomaly detection frameworks

      In parallel, we deploy AI-driven anomaly detection frameworks powered by soft sensors and advanced modelling techniques. These capabilities enable early detection of abnormal equipment behaviour, process instability, and emerging quality deviations that may otherwise remain invisible within traditional control systems. By inferring critical variables that cannot be directly measured, soft sensors provide real-time insights into machine health and product quality, enabling faster corrective actions and improved process consistency

      Executive teams to identify opportunities

      We work alongside executive teams to identify opportunities for cost reduction, operational excellence, asset productivity improvement, working capital reduction, and enhanced customer satisfaction. Through rigourous business case development and transformation roadmaps, we ensure that operational technology investments remain tightly aligned with measurable business outcomes. The focus extends beyond efficiency improvements to building adaptive enterprises capable of responding rapidly to market dynamics and evolving customer expectations

      Design and implement advanced solutions

      As KPMG in India, we support our clients to help design and implement advanced solutions that enable organisations to move beyond descriptive monitoring towards predictive and autonomous decision-making hence terming it the next generation operational intelligence and solutions. Leveraging Advanced Analytics, Artificial Intelligence, Machine Learning, Digital Twins, and real-time Operational Intelligence digital platforms, we create digital systems that continuously learn from operational data and provide actionable insights. Our expertise encompasses predictive process streamlining, energy optimisation, production planning enhancement, supply chain intelligence, and real-time decision support built upon robust and modern IT-OT architectures

      Modern manufacturing AI-based architectures

      With KPMG in India’s Modern Manufacturing AI-based architectures, we help organisations establish future-ready digital foundations built around a Unified Namespace (UNS) approach that provides a single source of contextualised operational truth across the enterprise. This is complemented by the implementation of industrial knowledge graphs, enabling relationships between assets, processes, products, events, and business entities with a Semantic context, Ontology and Inference   to be explicitly modelled and continuously enriched. We advise clients on emerging interoperability standards such as Model Context Protocols (MCP) to facilitate secure and governed interactions between AI systems, operational technologies, and enterprise applications, all smoothly

      Next-generation operational intelligence AI based platforms solutions

      A defining feature of next-generation operational intelligence AI based platforms solutions is the emergence of context-aware Agentic AI systems. Unlike traditional dashboards that merely report what has happened, we as KPMG in India now deploy Industry 4.0 solutions in the Agentic sense i.e. our clients may through such agents continuously interpret operational context, analyse emerging patterns, and orchestrates intelligent workflows across the enterprise. Such modern solutions and systems can proactively identify deviations, recommend interventions, trigger maintenance work orders, escalate exceptions to relevant stakeholders, and support operators with role-specific operational guidance. The result is a shift from reactive management to autonomous, continuously improving operations

      Predictive Intelligence for asset reliability and maintenance excellence

      Our solution also emphasise Predictive Intelligence for asset reliability and maintenance excellence. By combining sensor data, historical maintenance records, process conditions, and machine learning techniques, all enabled through a modern interoperable architecture, organisations can anticipate equipment failures before they occur. This significantly reduces unplanned downtime, optimises spare parts inventories, improves asset utilisation, and enhances workforce productivity. The transition from preventive to predictive maintenance directly contributes to increased operational resilience and reduced total cost of ownership

      AI-driven anomaly detection frameworks

      In parallel, we deploy AI-driven anomaly detection frameworks powered by soft sensors and advanced modelling techniques. These capabilities enable early detection of abnormal equipment behaviour, process instability, and emerging quality deviations that may otherwise remain invisible within traditional control systems. By inferring critical variables that cannot be directly measured, soft sensors provide real-time insights into machine health and product quality, enabling faster corrective actions and improved process consistency


      Foundational transformation layer

      At the foundational transformation layer, we recognise that sustainable value creation requires much more than technology deployment. We assist clients in developing organisational capabilities through targeted upskilling initiatives, operating model redesign, governance frameworks, and change management programs required for undertaking such transformative journeys. We further support horizontal integration across enterprise functions and vertical integration from the shop floor to executive decision-making systems, helping to ensure that transformation efforts are scalable and enduring through IT and modern manufacturing AI architectures.


      Highest level of maturity layer

      At the highest level of maturity, we support linking of architectural components as advised above to converge and enable the effective deployment of Large Language Models (LLMs) within industrial environments. Through Graph-based Retrieval Augmented Generation (Graph RAG), multi-hop reasoning capabilities, and explainable AI frameworks, organisations may empower employees to interact with complex factory operational knowledge using natural language. Engineers, operators, and business leaders can ask sophisticated questions spanning multiple systems and receive transparent, evidence-based recommendations supported by underlying operational context. This democratisation of intelligence transforms data into organisational knowledge and knowledge into decisive action. We at KPMG in India, are at the fore front of accomplishing such transformations for our clients.





      As Industry 4.0 evolves towards Industry 5.0, the competitive advantage might increasingly belong to organisations that successfully integrate human expertise, intelligent automation, Modern tech architectures and trusted AI into a cohesive operational ecosystem. Our role is to guide clients through this journey-designing strategies, architectures, and capabilities that not only deliver immediate business impact but also establish the foundations for sustained digital leadership in the industrial economy

      Our offerings

      Industry 4.0

      Strategy and road map development with a business case to support the change

      Customer delight

      Using Industry4.0 toolkit

      • CX focused solutions using
      • Personalisation of services
      • OTIF reach, depth and penetration of sale

      Cost management/productivity

      Using Industry4.0 toolkit including AI and ML 

      • Reducing bad costs and enhancing good cost
      • Waste reduction and specific energy reduction
      • Quantum kick in OEE of plant/machine, People productivity, OTIF, Yield, Inventory optimisation

      Reference Architecture design and road map for adoption

      • Communication/Integration: Seamless Data flows across IT and OT
      •  Interoperability, Modularity, M2M connectivity of data flows
      • Cloud migration and unified data construct across multisite

      IT OT integration implementation

      Advanced Process Control solutions

      Digital CoE design, implementation of the same, change management

      Cross industry platforms design and deployment for energy management, operations and maintenance, predictive operative dashboards

      All forms of Soft sensorisation for anomaly detection and quality management

      Industry-specific MES design and implementation with our partner eco system


      Success stories and experiences of our valued clients

      You can transform renewable operations with AI

      You can transform turbine design with AI

      You can optimise power scheduling with AI

      You can improve plant performance with AI

      You can enhance renewables energy generation with AI

      Turning automation into sustained business value in metals and mining

      Increasing performance with digital capabilities in metals and mining

      India insights

      Our insights is your gateway to thought leadership and in-depth reports. Explore our curated collection of valuable content, where we delve into complex business challenges, share industry trends, and provide actionable insights.

      Something went wrong

      Oops!! Something went wrong, please try again

      Key Contacts

      Saurabh Bhatnagar

      Partner, Industrial Automation, Intelligence and Digitalisation

      KPMG in India

      Amit Bhargava

      National Leader, Metals and Mining

      KPMG in India

      Sandeep Chittora
      Sandeep Chittora

      Associate Partner, Industrial Automation, Intelligence and Digitalisation

      KPMG in India

      Connect with us

      Contact our specialists for more information

      connect with us