Industrial Costing to better control your costs and performance
Accurate industrial costing improves production decision-making by providing reliable data. It also supports production cost management and enables better resource allocation. This accuracy strengthens project security, reduces financial and operational risks and ensures effective budget control.
Our convictions
A solid foundation for business strategy
Industrial costing provides the basis for strategic decision-making. It guides investment, production and pricing choices. By offering a clear view of costs, it enables leaders to plan effectively, anticipate risks and secure long-term results.
Greater precision for stronger competitiveness
Reliable industrial cost data helps companies anticipate emerging competitive challenges. It enables them to understand and act on costs, offer attractive sales prices while protecting margins, and support the development of new products and services.
A common framework for industrial leadership teams
The management data required to calculate industrial costs provides a common foundation for production, planning, procurement, and finance teams. Ensuring the accuracy of standards forms the backbone of manufacturing, creating a cross-functional framework shared by a wide range of contributors.
Enhanced performance control
Accurately calculating production costs helps identify sources of waste and opportunities for optimisation. By monitoring variances between forecast and actual costs, manufacturers can better control performance, improve processes, and protect the profitability of their operations.
A contribution to environmental sustainability
Accurate cost assessment now also incorporates energy expenditure allocated to products, as well as the valuation of manufacturing by-products.
By factoring in these environmental impacts, industrial sites gain a new perspective that can reveal opportunities to optimise processes, reduce their environmental footprint, and maintain economic performance.
Our solutions
and expertise
Direct cost management
Modelling the costs of raw materials, labour and specific consumption linked to each product or service.
Rigorous direct cost management also makes it possible to anticipate cost prices according to market fluctuations, thereby ensuring sustainable competitiveness while protecting margins.
Indirect cost modelling and allocation
- Pragmatic and transparent modelling of indirect costs through on-site Activity-Based Costing analyses.
- Allocation of overheads to products, providing detailed cost visibility and supporting optimal resource allocation in an increasingly competitive environment.
Harmonisation of standards and master data
Aligning financial and operational reference data ensures consistency in production cost calculations and day-to-day management decisions.
Integrating these data sets enables a shared view of performance, smoother collaboration between functions, and better-informed decision-making, thereby improving the reliability and relevance of economic analysis.
Digitisation of costing processes
Integrating product valuation into digital solutions strengthens cost management capabilities and creates productivity gains across finance and management functions.
New technologies enable near-real-time monitoring, scenario simulation, and rapid adaptation to market fluctuations, supporting proactive margin and risk management.
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Partner
Mathieu Naudin is a Managing Director at Citwell, a consulting firm specialising in supply chain and operational performance. After ten years in the aerospace industry, he moved into consulting 20 years ago.
An expert in operational performance and cost management, he works on industrial design, performance management processes, management control, and interim management. His goal is to deliver practical solutions with a tangible impact on financial performance.
Among our references
Industrie du luxe
Cost price redesign and governance
Industrie du luxe
Industrial Cost Redesign
River transport logistics study

Cost price analysis and turnaround through margin analysis