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The carbon is in the goods on the shelf

Thousands of SKUs, thousands of suppliers, and the footprint is in all of them. Turning that ledger into a number you can defend is data work at scale, before any report gets written. The analyst does that work and shows the factor behind every line.

You stay the reviewer

A spend ledger in, a defensible Scope 3 out

On day one the only complete data most retailers have is a giant purchase ledger, thousands of SKUs and suppliers. Mapping every line to the right factor by hand is slow and hard to defend. The analyst does the mapping, shows the factor and reasoning per line, and hands you a footprint you can review and stand behind under AASB S2.

Emissions line

Purchased goods, packaged snacks category, FY spend

Result

1,240 t CO₂e

How the analyst got there

Source

Purchase ledger, $1.86M category spend

Emission factor

EEIO, food manufacturing: 0.67 kg CO₂e/$ (spend-based)

Reasoning

Goods for resale → Scope 3, Cat 1. Spend-based until supplier data arrives.

Bringing experience with SME to Enterprise

2nd Life
EFTPOS
Carla Zampatti
The Dinner Ladies
Zolo
Kernest
BPAY
2nd Life
EFTPOS
Carla Zampatti
The Dinner Ladies
Zolo
Kernest
BPAY

99.95%

Calculation accuracy

SKU-level

Spend mapping

30 min

Average processing time

The emissions ledger: each figure shown with its vendor, source document, emissions factor, and data-quality scoreA finished Horizon Food Group emissions inventory, every scope and subcategory totalledA bar chart of the top emitting vendors, split by scopeEvery number traced to source

See a finished inventory, every number traced to its source

A completed, ASRS-ready example. Every figure linked back to its source document, emissions factor, and reasoning.

Ask for a walkthrough

Tell us about your team and we'll walk you through this example.

How it works

Drop in purchase and supplier-spend data, store energy bills and refrigerant logs, the analyst calculates each scope with matched factors, and you report per category, per store or consolidated across the business.

See the full process →

Scope 3 · Category 1

Purchased goods for resale

Goods for resale are the bulk of a retail footprint. CO2 Lab starts spend-based for full coverage using EEIO factors, then upgrades line by line to supplier-specific data as it arrives, so the number gets more precise without the model breaking or the audit trail resetting.

Spend-based coverage from your purchase ledger

Upgrade to supplier-specific data line by line

Primary and secondary data clearly labelled

Category, brand and supplier breakdowns

Electricity per store and distribution centre

Fugitive F-gas from refrigeration

Location- and market-based Scope 2

Inbound freight and distribution

Scope 1, 2 & 3 · Operations

Stores & refrigeration

Store energy is your Scope 2, and for grocery, refrigerant leakage is a real Scope 1 source that audits often flag. CO2 Lab extracts consumption from utility bills per site, captures fugitive F-gas, and follows inbound freight through to the store.

Supplier data

From spend to primary data

The majors are already pushing this: Coles has committed to have 75% of its suppliers by spend set science-based targets by 2027, and Woolworths was the first Australian retailer with SBTi-endorsed targets. As your suppliers return primary data, CO2 Lab swaps it in per line and keeps the provenance intact.

Track each line as primary or secondary data

Swap spend-based to activity-based as data arrives

Provenance kept on every upgrade

Report progress on data quality over time

Frequently asked questions

Every SKU, every scope, one footprint

A free 30-minute chat, no obligation, on where you stand ahead of your first ASRS report.

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