Tonnage by material, household split
Tonnage is derived from your product and placement data — reproducible per material and market — with the household / non-household split that the obligation turns on.
UK packaging EPR (pEPR)
Terrametri takes your product and placement data through producer obligation, tonnage by material and modulated fees to a Defra RPD export — with duplicate placements caught before they count, and a file that flags what it cannot resolve rather than inventing it.
What it does
Tonnage is derived from your product and placement data — reproducible per material and market — with the household / non-household split that the obligation turns on.
Fees come from the loaded rate table and are RAM-modulated where the data year governs it — not a hand-keyed estimate.
Duplicate placements are caught before they count, and the export flags a field it cannot resolve rather than filling it in. It reconciles to the kilogram or writes no file.
One platform
EPR runs on the same engine and the same operational data as your carbon accounting and ESRS E1 disclosure — one set of records, a second regulated output. Packaging EPR is priced separately because its value is reducing a modulated fee you already pay.
Questions
Producer obligation and tonnage by material (with the household split), modulated fees from the loaded rate table, and a Defra RPD submission file produced from your product and placement data.
Tonnage is derived from product and placement data rather than stored as a loose number, and duplicate placements are caught before they count toward the bill. The RPD export flags a field it cannot resolve rather than inventing a value, and it ties to the kilogram or writes no file.
The same platform and the same operational data produce both — EPR is the natural expansion path for a producer already reporting carbon with Terrametri. Packaging EPR is priced separately because its value is reducing a modulated fee a producer already pays.
We’ll run producer obligation, tonnage and the Defra RPD export end to end on data that looks like yours.