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, mostly outside your direct control. With Global Changer, you calculate Scope 3, including FLAG, in a differentiated way instead of using a blanket approach. And when food retailers need product data for their SBTi climate targets, you deliver. Fast.

Up to 90% of emissions in the food industry occur 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 using a blanket approach. And when food retailers need product data for their SBTi climate targets, you deliver. Fast.

Employees in a food production facility monitor and control production processes in a modern manufacturing plant.

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

Grocery retailers demand reliable product data, and those who cannot provide it risk losing shelf listings. But complex supply chains and incomplete supplier data slow down carbon footprint assessments, and FLAG emissions cannot be captured with blanket factors. Calculated manually, it takes months and ties up resources that are needed for reduction.

Complex data & supply chains

Scope 3 determines the majority of your footprint. The biggest lever therefore lies outside your own organization, often also beyond your own data base.

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, grocery retailers require reliable PCFs. Those who can't provide them directly lose trust and revenue.

use cases

From calculation to SBTi-compliant reduction of your emissions

Global Changer automates the calculation and allocation of your emissions data, from Scope 3 including FLAG to reliable ISO-PCFs for trading. Your team can focus on what matters: deriving reduction measures and achieving SBTi targets.

1

PCFs in less than 1 minute according to ISO 14067 & 14040/44

The grocery retail sector demands reliable PCFs. With Global Changer, you can create and export audit-ready PCFs with AI support in 30 to 60 seconds. The calculation is based on ISO 14067 and ISO 14040/44. This keeps your sales team ready to act and able to respond directly to inquiries from grocery retail.

1

PCFs in less than 1 minute according to ISO 14067 & 14040/44

The grocery retail sector demands reliable PCFs. With Global Changer, you can create and export audit-ready PCFs with AI support in 30 to 60 seconds. The calculation is based on ISO 14067 and ISO 14040/44. This keeps your sales team ready to act and able to respond directly to inquiries from grocery retail.

1

PCFs in less than 1 minute according to ISO 14067 & 14040/44

The grocery retail sector demands reliable PCFs. With Global Changer, you can create and export audit-ready PCFs with AI support in 30 to 60 seconds. The calculation is based on ISO 14067 and ISO 14040/44. This keeps your sales team ready to act and able to respond directly to inquiries from grocery retail.

2

Continuously improve Scope-3 data quality

Raw materials, packaging, transport: many categories, many suppliers. Global Changer classifies activities according to Scope logic and calculates based on activities instead of using flat average values. Appropriate emission factors are assigned consistently, reducing sources of manual error. Primary data from supply chains, e.g. from agricultural businesses, can be integrated directly.

2

Continuously improve Scope-3 data quality

Raw materials, packaging, transport: many categories, many suppliers. Global Changer classifies activities according to Scope logic and calculates based on activities instead of using flat average values. Appropriate emission factors are assigned consistently, reducing sources of manual error. Primary data from supply chains, e.g. from agricultural businesses, can be integrated directly.

2

Continuously improve Scope-3 data quality

Raw materials, packaging, transport: many categories, many suppliers. Global Changer classifies activities according to Scope logic and calculates based on activities instead of using flat average values. Appropriate emission factors are assigned consistently, reducing sources of manual error. Primary data from supply chains, e.g. from agricultural businesses, can be integrated directly.

3

Precisely represent FLAG and agricultural raw materials

Agricultural products require differentiated emission factors. Global Changer integrates industry-specific databases such as AGRIBALYSE and ecoinvent and is continuously supplemented with additional sources such as Agri-Footprint. AI helps with the structured assignment of suitable factors.

3

Precisely represent FLAG and agricultural raw materials

Agricultural products require differentiated emission factors. Global Changer integrates industry-specific databases such as AGRIBALYSE and ecoinvent and is continuously supplemented with additional sources such as Agri-Footprint. AI helps with the structured assignment of suitable factors.

3

Precisely represent FLAG and agricultural raw materials

Agricultural products require differentiated emission factors. Global Changer integrates industry-specific databases such as AGRIBALYSE and ecoinvent and is continuously supplemented with additional sources such as Agri-Footprint. AI helps with 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

Recognize and reduce emission drivers at a glance

You analyze emissions across products, product groups, and locations and consolidate data in a structured way by scope categories. This allows you to identify the key drivers, from the individual SKU to the corporate level, and steer your efforts specifically toward your SBTi targets.

5

Recognize and reduce emission drivers at a glance

You analyze emissions across products, product groups, and locations and consolidate data in a structured way by scope categories. This allows you to identify the key drivers, from the individual SKU to the corporate level, and steer your efforts specifically toward your SBTi targets.

5

Recognize and reduce emission drivers at a glance

You analyze emissions across products, product groups, and locations and consolidate data in a structured way by scope categories. This allows you to identify the key drivers, from the individual SKU to the corporate level, and steer your efforts specifically toward your SBTi targets.

The team of Global Changer

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.

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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.

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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.

Image Here

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.

CO₂e reduction

SBTi-compliant reduction pathway. Shows what works and what it costs.

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CO₂e footprint

Fully calculate Scope 1 to 3. With AI matching for Scope 3.1.

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PCF

Calculate PCF according to ISO 14067 in under 60 seconds. With AI, for your entire portfolio.

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CO₂e footprint

Fully calculate Scope 1 to 3. With AI matching for Scope 3.1.

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CO₂e reduction

SBTi-compliant reduction pathway. Shows what works and what it costs.

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PCF

Generate valid PCF in under a minute using AI.

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Want to challenge our AI?

We show you what our AI can do – live, free of charge, and without any effort on your part. We only need 2 URLs for your products.

Free: Calculate 2 PCFs with AI

Want to challenge our AI?

Free: Calculate 2 PCFs with AI

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)?

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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?

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How does Global Changer represent FLAG emissions and agricultural raw materials?

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How does Global Changer support the PCF calculation for food products?

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How does Global Changer handle missing supplier data?

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Why is ChatGPT or Copilot not enough to create PCFs for the food industry?

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Is Global Changer suitable for CSRD and external audits?

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How does Global Changer support food manufacturers in their climate balance (Scope 1–3)?

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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?

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How does Global Changer represent FLAG emissions and agricultural raw materials?

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How does Global Changer support the PCF calculation for food products?

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How does Global Changer handle missing supplier data?

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Why is ChatGPT or Copilot not enough to create PCFs for the food industry?

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Is Global Changer suitable for CSRD and external audits?

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