The science behind
every repair decision.

The figure comes from applying the complete Eco Repair Score methodology over a reference set of 5,000 real motor claims. These claims were randomly selected for their representativeness. For every claim we combine two calculation engines: 1) the live myERS calculator, which scores every repair line already in scope (labour and shop energy, paint, and catalogued parts), computed per vehicle from its identification number; and 2) the Eco Repair Score out-of-scope engine, which applies the same Life Cycle Assessment methodology and framework (the standardised approach for quantifying environmental impact across a product's life cycle) to the parts the calculator does not yet model and cover. Coverage is then simply the in-scope carbon divided by the total. Carbon is expressed in CO₂e (carbon dioxide equivalent, a single unit combining all greenhouse gases).

Across the 5,000 claims:

Every value is a measured output, nothing is imputed. Of the 5,000 claims, 4,305 (86%) are scored by the current calculator; 695 contain only out-of-scope parts and carry the shop-energy floor of 19.2 kg CO₂e. Because a few claims are out-of-scope-only, the out-of-scope share across the whole set is slightly above the 14.05% average uplift measured on claims that already have in-scope parts.

Each claim is an itemised repair estimate, built from individual line items, one per part or operation. Across the 5,000 claims there are 27,281 out-of-scope line items: repair lines for a part the current calculator does not yet score. This is where the framework was extended.

The same consistent framework used for in-scope operations is applied to these parts. Rather than a spend-based or industry-average proxy, we search for physical, activity-level data for each part, its weight, material composition and country of origin, and correlate that data with emission factors. An emission factor is the impact per unit of activity (for example, kilograms of CO₂e per kilogram of a given material), drawn from the ecoinvent 3.9 Life Cycle Assessment database. These factors cover the full set of flows in the framework, not only part production but also packaging, transport to the workshop, and end-of-life treatment.

Where a manufacturer weight is published, we record it against a named source and flag it Verified. Where no published weight exists, we derive a calibrated estimate from the part's class and comparable parts. Each data point therefore carries a Data Quality Indicator: Verified, Estimated, or Placeholder (a residual default).

Representative verified parts, showing the physical attributes we capture and the catalogue source each is traced to:

A representative spread of claim types from the 5,000-claim set (anonymised, no vehicle identification number). Click any row to open the full per-claim calculation, the same detail held for every one of the 5,000 claims.

In-scope kg = footprint scored by the current myERS calculator (kilograms of CO₂e). Out-of-scope kg = footprint added by the Eco Repair Score engine. Uplift = out-of-scope divided by in-scope. Data quality: V = Verified, E = Estimated, P = Placeholder. Type: LCV = Light Commercial Vehicle (vans and similar).
Repair pattern combines the damaged zone (front, rear, side, or multiple) with a severity level set by the number of in-scope parts replaced: minor = 0 to 1 part replaced, moderate = 2 to 3, severe = 4 or more. * Out-of-scope-only claims carry only the 19.2 kg shop-energy floor in-scope, so no uplift ratio is shown.

This is what the Q4 2026 release turns into product. The out-of-scope contribution is not random: it tracks the repair pattern, the damaged zone combined with a severity level (see the legend under the worked examples). For each pattern we measured an average uplift factor across the 5,000 claims. From Q4 2026, the calculator will recover the missing carbon on a closed claim by multiplying its in-scope result by (1 + uplift) for the matching pattern, each factor published in the Application Programming Interface (API) response and labelled with its data quality.

The table shows how the 5,000 claims distribute across patterns. A sample of the resulting uplift factors is shown; the remainder are part of the model and shown blurred.

At the end of July 2026, the calculator's scope has widened: a new mechanical and interior parts library and additional exterior parts extends scoring to part classes that were previously out of scope (v3.0.4). As these higher-impact classes are mapped into scope, their carbon moves out of the uplift and into the directly-scored result, so the out-of-scope contribution shrinks accordingly.

The detailed analysis shows how effective this is. Mapping just three additional part types, reinforcement beams, body panels and grilles, captures 34% of the out-of-scope carbon across the reference set and reduces the out-of-scope contribution significantly: