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Capital Goods: Driving Sustainable Performance
The Capital Goods sector operates in an environment marked by increasing competitive pressure.
KEPLER helps manufacturers sustainably improve their competitiveness, operational performance, and transformation capabilities.
KEPLER helps manufacturers sustainably improve their competitiveness, operational performance, and transformation capabilities.
Turning your challenges into measurable results
- Competitive pressures are reducing margins while increasing expectations regarding price competitiveness.
- In low-to-medium volume environments, traditional cost reduction levers quickly reach their limits.
- Legacy products become too expensive to manufacture compared with evolving market expectations.
- Trade-offs between technical performance, cost, quality, and industrialization become increasingly complex.
- Companies must simultaneously rethink customer needs, product design, and industrial models to preserve competitiveness.
- Targeted assessment: analysis of total product costs, technical specifications, customer requirements, design choices, and industrialization constraints.
- Prioritized strategy: definition of a techno-economic optimization roadmap balancing product performance, cost competitiveness, quality, and industrial feasibility.
- Operational deployment: facilitation of design-to-cost and design-to-value workshops, customer need challenge, specification simplification, component rationalization, and optimization of technical choices.
- Technology & AI: cost analysis tools, technical scenario simulations, supplier benchmarking, and decision support for design/cost/performance trade-offs.
- People & Change: alignment of R&D, procurement, industrialization, quality, and operations teams around new techno-economic priorities.
- Measured results: product cost reduction, improved price competitiveness, secured industrialization, and maintained technical performance.
When techno-economic optimization becomes the only answer to pricing pressure
- Production acceleration places significant pressure on industrial capacities and operational organizations.
- Suppliers, often small or medium-sized, become more vulnerable to workload fluctuations and responsiveness requirements.
- Risks of shortages, delays, quality issues, and operational misalignment increase under pressure.
- Internal production capacities struggle to absorb demand fluctuations.
- Manufacturers must simultaneously increase productivity, secure supply, and strengthen supply chain resilience.
- Targeted assessment: analysis of industrial capacities, flows, operational constraints, supplier risks, and supply chain vulnerabilities.
- Prioritized strategy: definition of a ramp-up plan integrating supplier security, supply chain robustness, industrial flexibility, and operational productivity.
- Operational deployment: optimization of flows and capacities, critical supplier risk mitigation, planning improvement, bottleneck reduction, and shopfloor performance management.
- Technology & AI: advanced planning tools, load/capacity simulations, supply chain risk anticipation, and real-time operational monitoring.
- People & Change: support for industrial, supply chain, and supplier teams in adapting operating models and operational routines.
- Measured results: increased productivity, improved service levels, secured supply, and reduced operational risks.
When production ramp-up puts industrial performance and the supply chain under pressure
- Customers increasingly expect comprehensive solutions combining equipment, maintenance, availability, and spare parts management throughout the asset lifecycle.
- Traditional business models focused solely on equipment sales are reaching their limits.
- Spare parts, after-sales service, and maintenance management are becoming major differentiation and profitability drivers.
- Manufacturers struggle to manage lifecycle costs and the performance of installed equipment.
- The shift toward service-based models requires new organizations, skills, and management tools.
- Targeted assessment: analysis of revenue models, lifecycle costs, after-sales activities, maintenance, spare parts operations, and customer expectations.
- Prioritized strategy: definition of a service strategy integrating equipment, maintenance, service contracts, availability, and long-term economic performance.
- Operational deployment: structuring service and maintenance activities, optimizing spare parts inventories, improving after-sales processes, and implementing service profitability management models.
- Technology & AI: predictive maintenance solutions, installed base monitoring, field data analytics, and intervention optimization.
- People & Change: support for sales, after-sales, maintenance, and operations teams in transitioning toward service-based models.
- Measured results: improved service profitability, increased customer satisfaction, secured recurring revenues, and stronger differentiation.
When manufacturers must transition from a product offering to a profitable service model
- Legacy technologies are becoming more mature and provide fewer competitive advantages.
- Companies must identify and industrialize disruptive alternatives while controlling industrial risks.
- Trade-offs between innovation, cost, industrialization, and profitability are becoming critical.
- Eco-design must now be integrated from the earliest stages of product development.
- Targeted assessment: analysis of product portfolios, existing technologies, industrial constraints, and innovation and eco-design opportunities.
- Prioritized strategy: definition of an innovation roadmap combining market differentiation, environmental performance, industrial feasibility, and profitability.
- Operational deployment: facilitation of innovation and eco-design initiatives, identification of technological alternatives, portfolio rationalization, and industrialization support.
- Technology & AI: technology scouting, environmental impact simulation, innovation scenario analysis, and technical decision support.
- People & Change: support for R&D, industrialization, procurement, and marketing teams in adopting sustainable innovation practices.
- Measured results: accelerated innovation, improved product differentiation, reduced environmental impact, and secured industrialization.
When innovation and eco-design must become differentiation drivers
- Manufacturers are multiplying AI experiments without always succeeding in scaling them industrially.
- AI applications often remain limited to pilots or isolated successes.
- Data—the foundation of AI—remains fragmented, limited, and poorly structured.
- AI-related costs (deployment, maintenance, infrastructure, consumption) are difficult to anticipate and control.
- Companies must now systematically focus on value creation and operational ROI.
- Targeted assessment: analysis of existing AI use cases, available data quality, business processes, and value creation opportunities.
- Prioritized strategy: definition of an ROI-driven AI roadmap, prioritizing use cases based on operational impact, feasibility, and deployment speed.
- Operational deployment: progressive AI integration into business processes, targeted automation of low-value-added tasks, and industrialization of the most successful use cases.
- Technology & AI: AI agents, automated analytics, data structuring, decision support, and infrastructure cost management.
- People & Change: support for teams in adopting AI use cases and developing data and digital capabilities.
- Measured results: productivity gains, faster decision-making, improved operational performance, and controlled AI-related costs.
When AI struggles to generate measurable ROI in operations
- Regulatory and environmental requirements are driving profound transformations across industrial value chains.
- Upstream Scope 3 emissions are particularly complex to manage due to diverse technology streams, multiple suppliers, and geographically fragmented supply chains.
- Companies often have limited influence over suppliers, particularly in low-to-medium volume markets.
- Trade-offs between competitiveness, decarbonization, and supply chain resilience are becoming increasingly difficult.
- Manufacturers must integrate sustainability directly into product, procurement, and operational decisions.
- Targeted assessment: Scope 3 emissions mapping, supplier network analysis, identification of key decarbonization levers, and risk areas.
- Prioritized strategy: definition of an ESG and decarbonization roadmap aligned with industrial, economic, and regulatory constraints.
- Operational deployment: supplier engagement, integration of ESG criteria into procurement and industrial decisions, flow optimization, and environmental impact reduction.
- Technology & AI: carbon monitoring tools, ESG data consolidation, impact simulations, and decarbonization trajectory management.
- People & Change: support for procurement, supply chain, operations, and supplier teams in embedding ESG considerations.
- Measured results: emissions reduction, improved Scope 3 visibility, secured supplier networks, and strengthened sustainable performance.
when CSR challenges, particularly scope 3 emissions, make industrial models more complex
Contact our Capital Goods experts
Contact our Capital Goods experts