CASE STUDY PRESENTATION

Aarhus Cuts Food Procurement CO2 by 12%

Aarhus uses AI carbon accounting and internal climate fees to steer municipal food purchasing toward lower-emission choices.

Case Study
MitigationBehavior and capacityEconomic instrumentsPhysical/technical solutionsResource efficiency

Make CO2 visible at checkout: AI maps invoices, and internal fees nudge buyers toward lower-carbon foods without cutting budgets.

The big idea
  • 12% food-purchase CO2 cut
  • 275 tons CO2 saved annually
  • Replicable in 200-400 hours
So what?
1

The Challenge

Aarhus Municipality has a 2030 target to become CO2-neutral, while its annual procurement budget is about DKK 7 billion and total purchasing emissions are estimated at 330,000 tons CO2. Food procurement was selected as an early focus because the municipality decided to cut the CO2 footprint of purchased food by 25% by 2025. Similar requirements are expected to follow for broader consumption-based municipal purchasing.

2

The Plan

Aarhus chose a whole-system procurement approach rather than a single data exercise. AI creates the emissions overview, while internal carbon fees create a real-time incentive in the buying situation. The municipality plans to expand the model to additional high-emission product groups and use CO2 shadow prices in tenders.

  1. Step 1

    Use AI to collect and classify invoices across the municipality into 1,500 purchasing categories.

  2. Step 2

    Attach emissions factors to categories and calculate the total CO2 burden from procurement.

  3. Step 3

    Select food procurement because it offers high reduction potential and practical lower-carbon alternatives.

  4. Step 4

    Show internal climate fees in the purchasing system and have suppliers collect and return the fees to the municipality.

  5. Step 5

    Return fee revenue to buying units and expand the model gradually to more product groups and future tenders.

3

The Results

12%

Reduction in CO2 from food procurement.

275 tons CO2

Estimated annual food procurement CO2 cut.

40%

Reduction in beef consumption.

1,500

Purchase categories classified by AI.

The food procurement model has produced a 12% reduction in CO2 emissions, equivalent to about 275 tons CO2 annually. Beef consumption is reported to have fallen by 40%. The article notes that the comparison is based on Q4 2021 versus Q4 2022, and the effect cannot necessarily be attributed to the climate fee alone.

4

Key Lessons

Key lesson: carbon data becomes actionable when it is visible inside everyday purchasing systems. Aarhus combined AI-based invoice analysis, internal climate fees and budget recycling so buyers could change behavior without losing purchasing power.

  • Hidden procurement emissions
  • No price signal at checkout
  • Food buying high in CO2
Before
  • AI invoice carbon overview
  • Internal fees guide choices
  • Budgets returned to units
After

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