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 arise along raw materials and supply chains, mostly outside your direct control. With Global Changer, you calculate Scope 3, including FLAG, in a differentiated way instead of as a flat estimate. And when food retail needs product data for its SBTi climate targets, you can provide it. Fast.
Up to 90% of emissions in the food industry arise along raw materials and supply chains, mostly outside your direct control. With Global Changer, you calculate Scope 3, including FLAG, in a differentiated way instead of as a flat estimate. And when food retail needs product data for its SBTi climate targets, you can provide it. Fast.
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 data & supply chains
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
Agricultural products and raw materials come with specific accounting requirements. Generic emission factors often fail to capture these impacts accurately.
No PCF? No shelf space
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
Food retail requires reliable PCFs. With Global Changer, you can create and export audit-ready PCFs using AI in 30 to 60 seconds. The calculation is based on ISO 14067 and ISO 14040/44. This keeps your sales team responsive and able to answer inquiries from grocery retail directly.
1
PCFs in < 1 minute – according to ISO 14067 & 14040/44
Food retail requires reliable PCFs. With Global Changer, you can create and export audit-ready PCFs using AI in 30 to 60 seconds. The calculation is based on ISO 14067 and ISO 14040/44. This keeps your sales team responsive and able to answer inquiries from grocery retail directly.
1
PCFs in < 1 minute – according to ISO 14067 & 14040/44
Food retail requires reliable PCFs. With Global Changer, you can create and export audit-ready PCFs using AI in 30 to 60 seconds. The calculation is based on ISO 14067 and ISO 14040/44. This keeps your sales team responsive and able to answer inquiries from grocery retail directly.
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
You can count on that:
One platform for CCF, PCF & reduction, without duplicate systems
Methodological expertise & consulting, especially in SBTi & FLAG
Industry-specific databases, including for FLAG calculation
Intuitive operation, even for colleagues without specialist knowledge
Hosting in Germany & quick implementation
Why Global Changer
Because trust in data is crucial
You can count on that:
One platform for CCF, PCF & reduction, without duplicate systems
Methodological expertise & consulting, especially in SBTi & FLAG
Industry-specific databases, including for FLAG calculation
Intuitive operation, even for colleagues without specialist knowledge
Hosting in Germany & quick implementation
Why Global Changer
Because trust in data is crucial
You can count on that:
One platform for CCF, PCF & reduction, without duplicate systems
Methodological expertise & consulting, especially in SBTi & FLAG
Industry-specific databases, including for FLAG calculation
Intuitive operation, even for colleagues without specialist knowledge
Hosting in Germany & quick implementation
Software modules
Emissions management for complex food and beverage portfolios
Flexible solutions for complex food and beverage portfolios
As a food manufacturer, you need transparency in Scope 3, including FLAG, reliable product data for retail, and clear prioritization of measures beyond your portfolio. Global Changer is modular, so you start with what you need right now.
Product Carbon Footprint
Reliably calculate PCFs for thousands of products
Calculate Product Carbon Footprints for thousands of SKUs, from ingredients and packaging to logistics. Use industry-specific emission factors from recognized databases, compare future variants, and identify emissions drivers early. That way, you can deliver reliable PCFs directly at the request of grocery retailers.
Product Carbon Footprint
Reliably calculate PCFs for thousands of products
Calculate Product Carbon Footprints for thousands of SKUs, from ingredients and packaging to logistics. Use industry-specific emission factors from recognized databases, compare future variants, and identify emissions drivers early. That way, you can deliver reliable PCFs directly at the request of grocery retailers.
Product Carbon Footprint
Reliably calculate PCFs for thousands of products
Calculate Product Carbon Footprints for thousands of SKUs, from ingredients and packaging to logistics. Use industry-specific emission factors from recognized databases, compare future variants, and identify emissions drivers early. That way, you can deliver reliable PCFs directly at the request of grocery retailers.
Data security
100% hosting in Germany & certified security
Standards
Compliance is our standard
Standards
Compliance is our standard
FAQ on carbon accounting in the food industry
FAQ on carbon accounting in the food industry
FAQ on carbon accounting 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?