Carbon Footprint Inventory. Deep dive
Methodology, accuracy, and auditability.
How calculations work under the hood, and how you and your auditors can inspect them.
This is a simplified overview of our methodology. For a detailed walkthrough of factor selection, uncertainty handling, and audit trails, book a session with one of our quality assurance specialists.
How it works
How do we ensure calculation quality?
Bardo uses a product- or service-level approach and does not rely on spend-based estimates. Each line item is interpreted against available evidence, matched to relevant factor sources where possible, and reviewed when confidence is low.
How do we grade emission factors?
Not all emission factors are equal. We classify each one on a five-level scale by how specific the source is, so you can see the quality mix in your inventory at a glance.
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Supplier or product specific (verified or primary)
Typical source: Supplier LCAs, verified product disclosures, or CDP/PEF data.
Reflects what your company actually buys and from whom. These factors provide the strongest link between procurement and emissions, but only when the supplier data meets verification and transparency thresholds. Bardo evaluates every supplier LCA for methodological rigor, boundary coverage, and documentation quality. Verified or well-documented supplier LCAs form the gold standard; unverified or incomplete ones are downgraded.
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Constructed or generated LCA (evidence-based)
Typical source: Built by Bardo from public bills of materials, academic LCAs, or comparable process datasets.
When supplier data is missing or unreliable, Bardo constructs an evidence-based LCA from verifiable sources. Each step, boundary, and assumption is documented and reviewed, providing transparency that often surpasses unverified supplier LCAs. Generated LCAs are ranked dynamically and upgraded when supplier data improves, ensuring completeness without compromising accuracy.
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Product or process level
Public LCAs, Environmental Product Declarations (EPDs), process LCIs.
Representative for similar products or services and useful when specific supplier or product data is unavailable. These sources give reasonable accuracy but miss technology and energy mix variations between suppliers. Bardo tracks their representativeness and prioritises upgrades when more specific data emerges.
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Regional or sector average
Databases such as Ecoinvent.
Ensures coverage when higher-quality data isn't available. These averages smooth over critical differences in technology, region, and supply chain, leading to inflated or misleading results. Bardo uses them only temporarily and marks them for replacement, maintaining completeness while signalling improvement opportunities.
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Placeholder (temporary)
Spend-based or global estimate, such as DEFRA or EXIOBASE
Used strictly to avoid data gaps. These placeholders maintain structural integrity in reporting but carry low confidence and are clearly labelled as temporary. Each placeholder is tracked through the system, ensuring it's replaced once better evidence becomes available.
Can the results be audited and explained?
Yes. Results are traceable from source data to final output, so teams and auditors can inspect assumptions, challenge specific steps, and improve weak areas over time.
How does human review work?
Automation handles the volume. Specialists handle the edge cases. Confidence thresholds push items into role-specific queues. Specialists annotate, approve, or reject. Every action writes to an immutable audit log with user and timestamp.
- Capture exceptions. Unreadable documents, missing fields, supplier resolution issues.
- Mapping uncertainty. Ambiguous categories, unit conversion doubts, route detection.
- Factor selection. Multiple candidates with similar fit, scope boundary checks.
- Generated LCAs. New or niche products requiring documented assumptions.
What you see: coverage and reconciliation metrics, factor quality and specificity reporting, uncertainty trends by category and supplier
SLA: queue response within one business day. Critical exceptions resolved within five business days.
How does the system improve over time?
Each review stores the inputs, the human-chosen outcome, and notes. Labeled examples flow into a training pipeline for the reasoning models. New models run in shadow mode before promotion, with version notes documenting any behavior changes. Confidence floors prevent low-quality changes; rollbacks are available across the ledger.
What's covered by the subscription?
The principle is simple: everything that keeps the platform current is included. That means methodology updates, emission factor database refreshes, and adaptations to regulatory changes (CSRD, ESRS, GHG Protocol revisions). You don't pay extra to stay compliant.
It also includes the analysis layer: we highlight where your emission hot spots are and where targeted efforts would have the biggest impact. You get the inventory, and you get to know what to do with it.
What can be a separate engagement: bespoke integrations into a specific ERP setup, or new functionality you specifically request beyond what's on the roadmap. Where possible, we build platform-wide based on what we see customers needing, so requests often land in the core product anyway.