Carbon
Footprint
Pawston Cat Foods Ltd
Your full greenhouse gas inventory broken down by category, scope, and time period. Charts update as new records are processed.
| Category | Scope | Spend | tCO₂e | % of Total | GSD |
|---|---|---|---|---|---|
| Cat 1 Purchased goods & services — dairy | Scope 3 | £5,200,000 | 2.2k | 17.0% | 1.43 |
| Cat 1 Purchased goods & services — meat & poultry | Scope 3 | £4,800,000 | 2.0k | 15.7% | 1.45 |
| Purchased grid electricity | Scope 2 | £540,000 | 1.8k | 14.3% | 1.12 |
| Cat 1 Purchased goods & services — fruit & vegetables | Scope 3 | £3,100,000 | 1.7k | 12.8% | 1.39 |
| Cat 4 Upstream transport & distribution | Scope 3 | £1,350,000 | 1.4k | 11.1% | 1.49 |
| Cat 1 Purchased goods & services — packaging | Scope 3 | £1,900,000 | 1.2k | 9.2% | 1.51 |
| Natural gas stationary combustion | Scope 1 | £165,000 | 760.0 | 5.9% | 1.15 |
| Cat 1 Purchased goods & services — specialty pet nutrition | Scope 3 | £1,050,000 | 600.0 | 4.7% | 1.55 |
| Company-vehicle fleet mobile combustion | Scope 1 | £140,000 | 450.0 | 3.5% | 1.18 |
| Cat 6 Business travel (rail) | Scope 3 | £95,000 | 310.0 | 2.4% | 1.33 |
| Cat 5 Waste generated in operations | Scope 3 | £180,000 | 240.0 | 1.9% | 1.58 |
| Cat 7 Employee commuting | Scope 3 | £0 | 197.0 | 1.5% | 1.67 |
How your emissions flow from boundary to scope to category to source.
Emissions attributed to your sites this period. Intensity uses each site's recorded headcount.
| Site | tCO₂e | % of site-attributed | tCO₂e per employee |
|---|---|---|---|
| Wolverhampton production | 10.0k | 82.1% | 48 |
| Porto distribution | 1.4k | 11.7% | 31 |
| London head office | 540.0 | 4.4% | 14 |
| Cambridge R&D lab | 210.0 | 1.7% | 8.8 |
Not attributed to a site: 697.0 tCO₂e of 12.8k tCO₂e recorded this period.
Trends, anomalies, and year-on-year movement in your inventory, with narrative insights written by your Hemera analyst.
Your emissions plotted against a 1.5°C-aligned pathway (4.2% annual reduction). The gap between the line and the path is the reduction still to find. Business-as-usualshows where you'd land taking no further action.
Reduction commitments locked against the FY2024-25 baseline. Progress tracks each new inventory against the science-based pathway.
Net change: -8.3% (-1,164 tCO₂e)
Where each emission source sits on a map of size (how big it is) versus uncertainty (how confident we are). Top-right needs work first.
The same sources, ranked. Switch the threshold to see which sources stay in scope under stricter materiality rules.
- 01Purchased goods — dairy & meatScope 332.7%32.7%1.43Fine for now
- 02Purchased goods — fruit & vegetablesScope 312.8%45.5%1.39Fine for now
- 03Upstream transport & distributionScope 311.1%56.6%1.49Fine for now
- 04Purchased goods — packagingScope 39.2%65.8%1.51Replace with meter or fuel readings
- 05Business travel & employee commutingScope 33.9%69.7%1.55Fine for now
Written by your Hemera analyst.
Your value chain accounts for 76.2% of total emissions. Purchased goods (dairy & meat) and upstream transport are the two largest categories.
Switching the delivery fleet to EVs could cut Scope 1 by ~70% (≈ 843 tCO₂e). Payback period estimated at 30 months given current diesel costs.
Total emissions fell 8.3% vs FY2023-24 baseline, driven by the Reading green tariff switch and route consolidation.
Commuting estimates use DEFRA averages — a staff travel survey would improve accuracy and may lower the figure by 15–20%.
Pedigree scoring across your inventory: geographic distance, temporal correlation, and data representativeness.
How many raw transactions were admitted into the published inventory, and why the rest were excluded.
Your Hemera analyst attaches supporting documents, invoices, utility bills and certificates, to individual activity records as they prepare your inventory. Evidence ships with your audit pack, so a reviewer can trace any figure back to its source document.
The highest-impact things you can do to tighten your footprint, ranked by how much uncertainty each one removes. Payoffs are estimated from the variance-contribution analysis of your own data — not the full Monte-Carlo confidence interval.
Action 1: Replace the meat and poultry spend estimate with supplier data
Medium effortTamarside Meats is your second-largest source and is still priced from DEFRA sector averages. A product-level footprint from Tamarside would swap the spend estimate for measured data.
Could cut your total uncertainty by ~15.8%£4,800,000 affectedAction 2: Run an employee commuting survey
Low effortCommuting is modelled from DEFRA national averages. A staff travel survey replaces the estimate with measured mode and distance, and usually lowers the figure too.
Could cut your total uncertainty by ~7.4%Action 3: Load packaging weights from Greenridge
Low effortPackaging is priced from invoice value, not material weight. Greenridge supplied a weight log that would move this line onto activity data.
Could cut your total uncertainty by ~6.1%£1,900,000 affectedAction 4: Refine logistics factors with Frostline route data
Medium effortUpstream transport uses an Exiobase sector factor. Frostline's route and fuel export would move it onto distance-based activity data.
This area drives ~6.2% of your total uncertainty£1,350,000 affectedNo projected data point for this action — showing the share of total uncertainty this area currently drives.
UK-headquartered cat-food brand consolidating four legal entities under an operational-control boundary. Children roll up deterministically from their underlying records; each retains its own audit trail and methodology pin.
| Entity | Scope 1 | Scope 2 | Scope 3 | Total | Records |
|---|---|---|---|---|---|
| Pawston Cat Foods Ltd | 40 | 180 | 360 | 580 | 28 |
| Pawston Cat Foods Manufacturing Ltd | 1,080 | 1,420 | 7,900 | 10,400 | 150 |
| Pawston Iberia Lda | 75 | 200 | 1,480 | 1,755 | 44 |
| Pawston Pet Innovations Ltd | 15 | 40 | 57 | 112 | 12 |
Footprint ledger
Every change to your inventory, logged with a cryptographic hash of the previous event and exportable for audit.