Turning your challenges into measurables results

  • Scope 3 represents the majority of emissions while covering an extremely broad perimeter: suppliers (tier 1, tier 2, etc.), customers, multiple value chains and technologies, as well as increasingly complex regulations.
  • The large number of stakeholders makes global governance difficult and limits the ability to effectively engage the ecosystem.
  • Trade-offs between cost, quality, lead time and carbon impact are becoming increasingly difficult to manage.
  • Companies lack visibility across their extended value chain and struggle to prioritize high-impact actions.
  • Poor data reliability slows decision-making and weakens decarbonization trajectories.
  • Targeted assessment: mapping of Scope 3 emissions, analysis of value chain complexity and identification of the main environmental impact drivers.
  • Prioritized strategy: definition of a decarbonization roadmap aligned with operational, financial and regulatory priorities.
  • Operational deployment: implementation of supplier engagement plans, emissions reduction initiatives and governance models across the value chain.
  • Technology & AI: carbon data consolidation, emissions modeling and real-time monitoring tools.
  • People & Change: mobilization of procurement, supply chain and operational teams around decarbonization objectives.
  • Measured results: improved visibility on Scope 3 emissions, accelerated decision-making and stronger decarbonization performance.

When Scope 3 becomes impossile to manage effectively

  • Optimizing costs, service levels and lead times while reducing carbon emissions creates strong tensions across operations.
  • Traditional supply chain models were not designed to integrate circularity and reverse flows.
  • Trade-offs between economic performance and sustainability remain difficult to quantify.
  • Historical logistics networks are no longer adapted to decarbonization and resilience challenges.
  • Lack of visibility across flows limits the ability to effectively steer overall performance.
  • Targeted assessment: analysis of physical and financial flows, identification of inefficiencies (excess inventory, unnecessary transportation, waste) and decarbonization levers.
  • Prioritized strategy: definition of a supply chain master plan integrating both economic and environmental performance, including logistics network redesign.
  • Operational deployment: implementation of circular loops (reuse, recycling, refurbishment), deployment of reverse logistics and optimization of multi-cycle inventory management.
  • Technology & AI: logistics flow simulation, network optimization and real-time performance monitoring.
  • People & Change: support for supply chain teams and adaptation of operational processes.
  • Measured results: reduction of logistics costs by 5 to 20%, reduction of transport emissions by 10 to 30% and service level improvement of 5 to 15 points.

When sustainable supply chains seem incompatible with operational performance

  • Integrating eco-design into product development can increase complexity and impact costs and lead times.
  • Trade-offs between product performance, cost and environmental impact slow down decision-making.
  • Companies struggle to turn sustainability initiatives into a true competitive differentiation lever.
  • Scaling eco-designed products remains difficult at industrial level.
  • Lack of alignment between R&D, marketing and operations limits value creation.
  • Targeted assessment: analysis of the product portfolio and identification of products with high environmental and economic impact.
  • Prioritized strategy: integration of eco-design into the innovation pipeline with a clear ROI and market differentiation logic.
  • Operational deployment: implementation of design-to-cost and design-to-carbon approaches, optimization of materials and packaging, industrialization of sustainable innovations.
  • Technology & AI: simulation of product environmental impacts and optimization of technical choices.
  • People & Change: training of R&D, marketing and production teams.
  • Measured results: reduction of product costs by 5 to 15%, reduction of carbon footprint by 10 to 30%, and improvement of competitive positioning and product attractiveness.

When eco-design weakens product attractiveness

  • ESG data is fragmented, heterogeneous and often of poor quality.
  • Data is spread across multiple systems (ERP, business tools, Excel files) without global structuring.
  • Data may be incomplete, inaccessible or difficult to exploit.
  • Poor data reliability limits reporting credibility and decision-making efficiency.
  • Teams spend more time collecting data than steering performance.
  • Targeted assessment: audit of information systems and analysis of ESG data quality and availability.
  • Prioritized strategy: definition of an ESG data architecture aligned with business priorities and structuring of performance indicators.
  • Operational deployment: implementation of ESG dashboards, reporting automation and integration of indicators into decision-making processes.
  • Technology & AI: predictive modeling of emissions and costs, scenario simulation and real-time steering tools.
  • People & Change: training teams on data tools and ESG analysis.
  • Measured results: reduction of reporting production time by 30 to 50%, improved data reliability and faster, more effective decision-making.

When ESG data fails to enable reliable decison-making

When complexity increases, the right expertise makes the difference

Anticipating the future of sustainable transformation

Contact our Sustainable Transformation experts

Contact our Sustainable Transformation experts