Replace global average data with country-specific emission (+landuse/management) and costs
Procurement and sustainability teams often rely on global average data due to missing supplier climate data, increasing reporting and reduction risk. This data offering delivers ISO 14044–aligned, country-specific emission factors across key sectors and FLAG (Forest, Land, and Agriculture emissions), provided in structured spreadsheets uploadable to SAP Sustainability Footprint Solution, improving data accuracy, auditability, and confidence.
Overview
Improve supplier-level carbon data
Life Cycle Assessment (LCA) data from trusted research institutions, universities, and databases is reviewed extensively by in-house experts and processed in line with ISO 14044, with compliant reports available on request. This enables teams to close gaps in carbon accounting, assess suppliers and alternatives, and support forward-looking planning toward science-based targets, including Forest, Land and Agriculture transition activity (FLAG)
Make confident supplier-specific sourcing decisions
Make confident sourcing and reporting decisions by filling up to 95% of missing supplier data instantly instead of spending time on chasing data for 2 years, reducing risk and manual effort through supplier-specific impact data. With data on hand, you can start influencing suppliers and speak the same language about sustainability, innovation, procurement, leadership, and suppliers.
Plan supplier-specific sourcing with trusted data
Replace guesswork (often driven by missing data) in procurement decisions with structured, reliable emissions and cost data that enables confident planning, sourcing, and supplier choices. Quickly get the data you're missing so you can report, plan, and act faster and more confidently
Details
Solution type
Extensions and Add-ons
Industry
Agribusiness, Consumer Products, Automotive, Healthcare, Cross-Industry
Compatibility
Works with
SAP Sustainability Footprint Management
Features
Enable country-level emissions and cost analysis
Validated by in-house Life Cycle Assessment experts, the dataset covers producers across many more countries than typical global averages and is uploaded into SAP Sustainability Footprint Solution solutions to support country-specific reporting and sourcing decisions.
Upload emissions and cost data directly into SAP workflows
Receive data in a ready-to-import format, fully compatible with SAP Sustainability Footprint Management. This eliminates complex data integration processes and accelerates your decision-making process.
Translate emissions and cost data into sourcing actions
Move beyond average footprint data by comparing sourcing options across more origins. Uploaded into SAP Sustainability Footprint Solutions, this enables scenario analysis and supports supplier engagement toward science-based targets.
Plans and pricing
Five data points edition: Soy, Rice or Oilseed granular emission and cost data.
Soybean oils and oil-extraction by-products emission and cost factors. Soybean oils and by-products have key uses in food and feed. Country-specific factors ensure precision over global averages.
Oilseed products and by-products emission/cost factors. Rapeseed/sunflower meals key in animal feed; rice flour for gluten-free baking. Country data refines data via regional yields
Rice flour (dry/wet milling) emission/cost factors. Dry milling for snacks/breads; wet for fine noodles/dumplings. Country data refines data via regional rice yields
Granular emission factors and cost data are included in each purchase. Emission and cost factors will depend on specific complexity. 5 data points are allowed.
Soybean oils and oil-extraction by-products emission and cost factors. Soybean oils and by-products have key uses in food and feed. Country-specific factors ensure precision over global averages.
Oilseed products and by-products emission/cost factors. Rapeseed/sunflower meals key in animal feed; rice flour for gluten-free baking. Country data refines data via regional yields
Rice flour (dry/wet milling) emission/cost factors. Dry milling for snacks/breads; wet for fine noodles/dumplings. Country data refines data via regional rice yields
Granular emission factors and cost data are included in each purchase. Emission and cost factors will depend on specific complexity. 5 data points are allowed.
Technical Information
| Solution type | Extensions and Add-ons |
| Category | Supply Chain Logistics |
| Industry | Agribusiness, Consumer Products, Automotive, Healthcare, Cross-Industry |
| Works with |
SAP Sustainability Footprint Management |
Resources
The rise of soy in Europe and how to evaluate different alternatives
Unibloom Case Studies from Unilever, ScandiStandard, and other companies
Unibloom's Whitepapers on Climate Transition
Future proof the dairy industry with data backed scenario modelling
Reducing climate change impacts from livestock farming: The Pork Industry
Better data in feed formulation for optimising a sustainable poultry industry
Publisher
Unibloom World Ltd
Unibloom (B Corp) is a data and AI solution that helps procurement and sustainability teams improve Scope 3 reporting and move from average footprint data to real emissions reduction by filling data gaps and automating costed scenario modelling to compare low-carbon sourcing options collaboratively, in minutes not years.
