Insights
Narrative insights generated from your inventory data — trend detection, anomaly flags, and year-on-year comparisons.
What pushed emissions up, what pushed them down, and the net change between the two reporting years.
Your actual emissions plotted against business-as-usual and a 1.5°C-aligned pathway. The gap is the reduction still to find.
As suppliers share measured data, the confidence interval on your footprint tightens. This chart shows that link in motion.
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 ingredients — dairy & meatScope 332.9%32.9%1.38Review · within tolerance
- 02Outbound logistics (3PL)Scope 316.8%49.7%1.51Upgrade pedigree · target tier 2
- 03Business travel & employee commutingScope 312.7%62.4%1.67Upgrade pedigree · target tier 2
- 04Fleet diesel — delivery vansScope 19.4%71.8%1.18Maintain · already verified
- 05Purchased ingredients — produceScope 38.5%80.3%1.29Maintain · already verified
Your value chain accounts for 59.9% of total emissions. Purchased goods (dairy & meat) and outbound logistics 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 FY2024 baseline, driven by the Slough 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%.