PCFs on autopilot
Automate supplier data collection, scale product carbon footprints across your portfolio, and get decision-grade results based on your data—not proxies.
The problem with PCFs today
Product carbon footprints can unlock better decisions across sourcing, design, and customer communication. But today, PCF's are either scaled based on inaccurate spend based data, or are manually built by hand.
Costs scale linearly
PCFs often become bespoke projects—costing significant consultant time per SKU. For large portfolios, the programme stalls because every product behaves like a new project.
Manual data collection
Supplier follow-ups, BOM exports, and process data gathering are still email-driven and spreadsheet-based. The cycle repeats every time materials, sites, or suppliers change.
Not reusable across teams
Results end up in PDFs and one-off spreadsheets. Sales cannot answer customer requests reliably, procurement cannot compare suppliers, and engineering cannot use the numbers for design decisions.
Quality versus Scale
Teams still choose between high-quality, defensible modelling—or fast, proxy-based numbers that cannot be reused confidently across the business.
Estimate savings
Estimate time savings vs building PCFs manually in traditional tools. Savings compound as your product data, supplier inputs, and modelling rules get reused.
2,790
hours saved
0250500
Total PCFs per year
Why the curve accelerates
The first PCFs require alignment on scope, boundaries, and missing supplier inputs. Once that foundation exists, each additional footprint benefits from reusable datasets, templates, and automated data flows—so the marginal time saved increases with scale.
Reuse BOM and material libraries across product families
Automate supplier follow-ups and audit trail logging
Keep models aligned as products and suppliers change
Reuse modelling rules across customer requests and internal reporting
Dawn vs traditional LCA software
Side-by-side comparison of what matters for scaling PCFs on live product data.
Dawn
SimaPro
Sphera
OneClickLCA
PCF-ready outputsCustomer requests at scale
Data accuracyGranularity and modelling control
ScalabilityPortfolio-wide PCFs on live data
Shared workspaceCross-functional collaboration
Multi-workspace setupClean data per company, accessible cross-group
IntegrationsERP, PIM, PLM, and supplier systems
PCFs, EPDs, DPPs, PEFsCompliance-ready outputs
API integrationsProgrammatic access and data flows
AI automationAgents and automated execution
Automatic data collectionSupplier follow-ups and audit trail capture
Managed or self-managed
Choose the setup that matches your internal capability and how quickly you want to go live with PCFs.
Managed
We help you structure data, align modelling choices, and stand up a repeatable PCF workflow. You deliver the inputs; we ensure the system is ready to scale.
Scope and modelling alignment for repeatable footprints
Supplier data collection workflows with audit trail
A finished PCF workflow you can run repeatedly
Self-managed
You have internal specialists and want a modern workflow to scale PCFs. We onboard your team and provide the structure so you can run the programme independently.
Onboarding to PCF workflows and templates
Best-practice structure for repeatable, defensible modelling
A scalable flow for internal specialists and stakeholders
~80%
Less time per PCF
From manual, SKU-by-SKU work to a repeatable, guided workflow.
1×
Setup – Unlimited PCFs.
Align the methodology once. Scale across your portfolio without linear overhead.
3+
Teams that benefit
Sales, procurement, sustainability, and engineering all share the same product truth.
Dawn makes PCFs a by-product of your existing data
You already have most of the inputs. Dawn connects product data, supplier follow-ups, and modelling rules in one place—so PCFs become repeatable outputs from the same product truth your team maintains, with full audit trail.
Built on your product truth
Dawn connects directly to BOMs, material libraries, and supplier records. Your PCF model starts where your product data already lives—no manual exports and no disconnected files.
Methodology you can defend
PCFs follow established standards (e.g. ISO 14040/44 and ISO 14067). You align scope, boundaries, and modelling rules once—then every calculation stays consistent and audit-ready.
Value that compounds
When sustainability data lives inside product records, it becomes operational: procurement can optimise sourcing, sales can respond to customer requests, and teams can measure improvements over time.
Onboarding
Verified in 3 months
A clear onboarding timeline to connect data, structure the model, and go live with repeatable, customer-ready product carbon footprints.
Who contributes
Dawn
Agent manager
Dawn is your single point of contact. She orchestrates the PCF workflow by routing requests, tracking progress, and keeping data collection, modelling, and outputs moving in sync.
John
Data management
John maintains the product truth your PCFs depend on: BOMs, materials, components, and revisions. When the product changes, the model stays aligned.
Lily
Supply Chain
Lily collects primary data from suppliers, automatically follows up when needed, and logs everything with an audit trail—so footprints reflect what you actually buy.
Lisa
Sustainability
Lisa runs ISO-aligned LCA calculations using Ecoinvent and EF datasets, scales studies consistently across the portfolio, and ensures PCF outputs are comparable over time.
Michelle
Compliance
Michelle turns study outputs into customer-ready disclosures, keeps them current across revisions, and handles incoming sustainability requests and documentation needs.
