Food Industry
Food Industry
Precision in PCF & Scope 3 including FLAG
Precision in PCF & Scope 3 including FLAG
Up to 90% of emissions in the food industry occur along raw materials and supply chains – outside of your direct control, but crucial for your footprint. With Global Changer, you can calculate Scope 3 including FLAG in detail and respond quickly to Product Carbon Footprint inquiries from the retail sector.
Up to 90% of emissions in the food industry occur along raw materials and supply chains – outside of your direct control, but crucial for your footprint. With Global Changer, you can calculate Scope 3 including FLAG in detail and respond quickly to Product Carbon Footprint inquiries from the retail sector.
Eva Unterhofer
Sustainability Manager, Darbo
"Quality is at the center of our actions, and everything begins with sourcing the best fruits. That’s why sustainability is so important to us, and we are very pleased about the partnership with Global Changer to optimize and enhance our sustainability efforts."
Eva Unterhofer
Sustainability Manager, Darbo
"Quality is at the center of our actions, and everything begins with sourcing the best fruits. That’s why sustainability is so important to us, and we are very pleased about the partnership with Global Changer to optimize and enhance our sustainability efforts."
Challenges
When emissions data decide on revenues
The retail sector today demands reliable product data, but complex supply chains, incomplete supplier data, and specific FLAG emissions hinder any climate balance. And because the creation is usually manual and time-consuming, there is little room for what really matters: reduction and effective measures in the product portfolio.
Complex supply chains, incomplete data
Scope 3 determines the majority of your footprint. Therefore, the greatest lever lies outside of your own organization – and often outside of your own data set.
Calculate FLAG precisely instead of generally
Agricultural products have specific requirements that shape the balance. General emission factors are not sufficient here.
No PCF? No placement on the shelf.
Many SKUs – no scalable PCF calculation. At the same time, the retail sector demands reliable PCFs. Those who cannot provide them directly will lose trust and revenue.
use cases
This is how your emissions data makes a difference
From resilient PCFs for the retail food sector to precise Scope-3 accounting including FLAG: Global Changer automates calculation, assignment, and aggregation – so your team can focus on prioritization and reduction.
1
PCFs in < 1 minute – according to ISO 14067 & 14040/44
The retail sector requires reliable PCFs. No problem! With Global Changer, you can create and export verifiable PCFs supported by AI in 30-60 seconds. The calculation is based on ISO 14067 and ISO 14040/44. This keeps your sales team operational and able to respond directly to inquiries from the grocery retail sector.
1
PCFs in < 1 minute – according to ISO 14067 & 14040/44
The retail sector requires reliable PCFs. No problem! With Global Changer, you can create and export verifiable PCFs supported by AI in 30-60 seconds. The calculation is based on ISO 14067 and ISO 14040/44. This keeps your sales team operational and able to respond directly to inquiries from the grocery retail sector.
1
PCFs in < 1 minute – according to ISO 14067 & 14040/44
The retail sector requires reliable PCFs. No problem! With Global Changer, you can create and export verifiable PCFs supported by AI in 30-60 seconds. The calculation is based on ISO 14067 and ISO 14040/44. This keeps your sales team operational and able to respond directly to inquiries from the grocery retail sector.
2
Continuously improve Scope-3 data quality
Raw materials, packaging, and transportation are distributed across numerous categories and suppliers. Activities are categorized according to the scope logic, appropriate emission factors are consistently assigned, and sources of manual errors are reduced. Primary data from supply chains, for example from agricultural operations, can also be integrated.
2
Continuously improve Scope-3 data quality
Raw materials, packaging, and transportation are distributed across numerous categories and suppliers. Activities are categorized according to the scope logic, appropriate emission factors are consistently assigned, and sources of manual errors are reduced. Primary data from supply chains, for example from agricultural operations, can also be integrated.
2
Continuously improve Scope-3 data quality
Raw materials, packaging, and transportation are distributed across numerous categories and suppliers. Activities are categorized according to the scope logic, appropriate emission factors are consistently assigned, and sources of manual errors are reduced. Primary data from supply chains, for example from agricultural operations, can also be integrated.
3
Precisely represent FLAG and agricultural raw materials
Agricultural products require differentiated emission factors. Global Changer integrates sector-specific databases like AGRIBALYSE and ecoinvent – and is continuously supplemented with additional sources such as Agri-Footprint. AI assists in the structured assignment of suitable factors.
3
Precisely represent FLAG and agricultural raw materials
Agricultural products require differentiated emission factors. Global Changer integrates sector-specific databases like AGRIBALYSE and ecoinvent – and is continuously supplemented with additional sources such as Agri-Footprint. AI assists in the structured assignment of suitable factors.
3
Precisely represent FLAG and agricultural raw materials
Agricultural products require differentiated emission factors. Global Changer integrates sector-specific databases like AGRIBALYSE and ecoinvent – and is continuously supplemented with additional sources such as Agri-Footprint. AI assists in the structured assignment of suitable factors.
4
Make product decisions based on data
Whether a different ingredient, new packaging material, or altered transportation method: You compare the impacts on the PCF in various scenarios before costs are incurred. In the future, the WWF protein split will also be supported to analyze emissions differentiated by protein carriers. Note: This feature is currently still in development.
4
Make product decisions based on data
Whether a different ingredient, new packaging material, or altered transportation method: You compare the impacts on the PCF in various scenarios before costs are incurred. In the future, the WWF protein split will also be supported to analyze emissions differentiated by protein carriers. Note: This feature is currently still in development.
4
Make product decisions based on data
Whether a different ingredient, new packaging material, or altered transportation method: You compare the impacts on the PCF in various scenarios before costs are incurred. In the future, the WWF protein split will also be supported to analyze emissions differentiated by protein carriers. Note: This feature is currently still in development.
5
Recognizing emission drivers at a glance
They analyze emissions across products, product groups, and locations, consolidating data structured by scope categories. This allows you to identify the key drivers – not just at the SKU level, but comprehensively across the company.
5
Recognizing emission drivers at a glance
They analyze emissions across products, product groups, and locations, consolidating data structured by scope categories. This allows you to identify the key drivers – not just at the SKU level, but comprehensively across the company.
5
Recognizing emission drivers at a glance
They analyze emissions across products, product groups, and locations, consolidating data structured by scope categories. This allows you to identify the key drivers – not just at the SKU level, but comprehensively across the company.
Why Global Changer
Because trust in data is crucial
Global Changer offers you:
A solution for CCF (Scope 1-3) and PCF – without duplicate systems
Precision in Scope 3 instead of blanket average values
Scalable PCF calculation for complex product portfolios
Industry-specific databases, including for FLAG calculation
Rapid implementation and collaborative development
Why Global Changer
Because trust in data is crucial
Global Changer offers you:
A solution for CCF (Scope 1-3) and PCF – without duplicate systems
Precision in Scope 3 instead of blanket average values
Scalable PCF calculation for complex product portfolios
Industry-specific databases, including for FLAG calculation
Rapid implementation and collaborative development
Why Global Changer
Because trust in data is crucial
Global Changer offers you:
A solution for CCF (Scope 1-3) and PCF – without duplicate systems
Precision in Scope 3 instead of blanket average values
Scalable PCF calculation for complex product portfolios
Industry-specific databases, including for FLAG calculation
Rapid implementation and collaborative development
Software modules
Flexible emissions management for complex food and beverage portfolios
As a food manufacturer, you need more than just a CO₂ balance. You need transparency in Scope 3 – including FLAG emissions – scalable product data, and a clear prioritization of actions across formulations and portfolios.
Product Carbon Footprint
Scalable calculation of PCFs for thousands of products
Calculate Product Carbon Footprints for thousands of SKUs – from ingredients to packaging to logistics. Use industry-specific emission factors from recognized databases, compare future variants, and identify emission drivers early. This way, you provide reliable PCFs directly upon request from the grocery retail sector.
Corporate Carbon Footprint
Scope 1 to 3 (including FLAG): Carbon footprint without Excel chaos
In food production, most emissions occur in Scope 3 - especially in agricultural raw materials. Our CCF module structures complex Scope-3 frameworks, including FLAG. Emission factors from sources such as ecoinvent or AGRIBALYSE are consistently assigned and documented transparently. This makes your carbon footprint more precise and verifiable.
CO₂ reduction
Targeted and SBTi-compliant reduction measures
Your footprint shows where emissions occur. The reduction module helps to derive concrete measures from this and to track them in a structured manner. Identify hotspots, prioritize levers, and align your measures with SBTi-compliant target paths – from procurement to production to portfolio. This turns climate goals into measurable implementation.
Data security
100% hosting in Germany & certified security
Standards
Compliance is our standard
Standards
Compliance is our standard
FAQ on the climate balance in the food industry
FAQ on the climate balance in the food industry
FAQ on the climate balance in the food industry
Answers to the most important questions about Scope 3, FLAG, and PCF
Answers to the most important questions about Scope 3, FLAG, and PCF
How does Global Changer support food manufacturers in their climate balance (Scope 1–3)?
In the food industry, up to 90% of emissions often arise in Scope 3, primarily through raw materials, packaging, and supply chains. Global Changer structures Scope 1–3 according to the GHG Protocol. Particularly in Scope 3, the solution allows for the consistent recording of these emission sources. Emission factors are systematically assigned and versioned documented. The result is an audit-compliant and reproducible carbon footprint that transparently represents emissions across products, product groups, and locations.
How does Global Changer deal with complex Scope-3 supply chains in the food industry?
How does Global Changer represent FLAG emissions and agricultural raw materials?
How does Global Changer support the PCF calculation for food products?
How does Global Changer handle missing supplier data?
Why is ChatGPT or Copilot not enough to create PCFs for the food industry?
Is Global Changer suitable for CSRD and external audits?
How does Global Changer support food manufacturers in their climate balance (Scope 1–3)?
In the food industry, up to 90% of emissions often arise in Scope 3, primarily through raw materials, packaging, and supply chains. Global Changer structures Scope 1–3 according to the GHG Protocol. Particularly in Scope 3, the solution allows for the consistent recording of these emission sources. Emission factors are systematically assigned and versioned documented. The result is an audit-compliant and reproducible carbon footprint that transparently represents emissions across products, product groups, and locations.
How does Global Changer deal with complex Scope-3 supply chains in the food industry?
How does Global Changer represent FLAG emissions and agricultural raw materials?
How does Global Changer support the PCF calculation for food products?
How does Global Changer handle missing supplier data?
Why is ChatGPT or Copilot not enough to create PCFs for the food industry?
Is Global Changer suitable for CSRD and external audits?