Siemens launches AI Lifecycle Assessment in Teamcenter to accelerate sustainable product design
Siemens adds AI LCA to Teamcenter with Makersite, giving real-time impact data in the digital twin. Teams balance cost, compliance, and footprint from concept to EOL.
Siemens brings AI-driven Lifecycle Assessment into Teamcenter for sustainable product design
Siemens has added AI-powered Sustainability Lifecycle Assessment to Teamcenter, developed with Makersite and delivered within the Siemens Xcelerator portfolio. The capability brings full LCA into the digital twin, giving product teams real-time environmental data from concept through end of life. The goal is simple: make better material, process, and supplier decisions without slowing delivery or inflating cost.
"Driving the development of products with sustainability at the core while maintaining speed, cost efficiency and regulatory compliance requires radically expanded lifecycle intelligence," said Frances Evans, senior vice president, Lifecycle Collaboration Software, Siemens Digital Industries Software. With predictive LCA and integrated industrial data, teams can evaluate cost, compliance, risk, and environmental impact early and often.
What's new
- Full-scale, ISO-compliant LCA inside Teamcenter, from cradle to end of life
- Predictive analysis using digital twin data and AI from the Makersite partnership
- Direct integration with mechanical, electronic, and simulation tools
- BOM-level multi-criteria analysis: cost, performance, and environmental impacts in one view
- Visibility into Scope 2 and Scope 3 emissions tied to energy use and supply chains
Why this matters for product development
- Fewer late-stage changes: spot high-impact materials and processes during concept and design.
- Faster compliance: produce ISO-aligned LCA outputs and trace Scope 2/3 assumptions.
- Better trade-offs: compare cost vs. footprint vs. risk at the BOM line level.
- Shared context: sustainability, engineering, and sourcing work from the same data backbone.
"By integrating with Siemens' Teamcenter, we deliver precise, detailed insights on cost, compliance, risk, and environmental performance-right within an engineer's everyday tools," said Neil D'Souza, CEO and Founder, Makersite.
How it fits your workflow
- Concept: estimate product-level footprint and hot spots from early BOMs; explore alternative materials.
- Design: run what-if simulations in mechanical/electronic/simulation tools; compare variants.
- Sourcing: assess supplier risk, compliance coverage, and transport impacts before PO.
- Validation: generate ISO-compliant LCA reports for gate reviews and audits.
- Change management: quantify impact deltas each time the BOM or process shifts.
Use cases you can run on day one
- Swap a resin or alloy and compare footprint, cost, and availability at equal performance.
- Evaluate recycled content strategies; model modularity for easier repair and reuse.
- Optimize packaging for lower emissions and logistics costs.
- Assess energy source changes (e.g., grid mix vs. renewable supply) for Scope 2 reductions.
Compliance and reporting
The solution supports ISO-aligned LCAs and increases visibility into indirect emissions. For reference:
Embedding compliance early reduces rework and helps teams meet rising regulatory expectations while protecting margins.
Data you'll need for accurate results
- Structured BOMs with materials, weights, and process steps
- Energy use and process assumptions for manufacturing and testing
- Supplier-specific data where available; industry averages as a fallback
- Transport modes, distances, and packaging details
- End-of-life pathways: recycle, refurbish, landfill, or incineration
Key metrics to watch
- kg CO2e per unit and per functional unit
- Material and manufacturing cost per unit
- Supplier and compliance risk scores
- % recycled or bio-based content; % recyclable at end of life
- Time-to-approval for compliance documentation
Getting started in Teamcenter
- Enable Sustainability Lifecycle Assessment in your environment and connect Makersite.
- Map your BOM attributes to LCA datasets; set goal and scope for priority products.
- Create scenario templates (baseline vs. low-carbon materials vs. supply alternatives).
- Publish dashboards to engineering and sourcing; embed gates for LCA checks in workflows.
- Close the loop: feed supplier-specific data as it arrives to refine models.
Risks and guardrails
- Data quality: document assumptions; prefer supplier data over generic averages.
- Change churn: control scenario sprawl with standard templates and approvals.
- Supplier engagement: request emission factors and recycled content as part of RFQ.
Bottom line for product teams
Siemens is putting LCA where product decisions are made-in the PLM, tied to the digital twin. If you build with cost, compliance, and sustainability targets in the same view, you reduce surprises and ship products that meet market and regulatory expectations with less friction.
If your team is upskilling on practical AI for product work, explore role-based options here: AI courses by job.
