Inconsistent item descriptions
Abbreviations and internal item numbers reveal little about materials or production. Assigning a factor requires enough context.
Your purchasing.
Your Scope 3.1 inventory.
Your purchasing data is the starting point for an emissions inventory of purchased goods and services. Our AI helps assign emission factors. You remain in control of the professional review.
Customers, users and project participants
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Voices from practice
Original quotes in German.
„Durch die automatische Scope 3.1-Ermittlung konnten wir kurzfristig effizient und zuverlässig Scope-3-Daten in unser System bekommen, die wir sonst wohl überhaupt nicht bekommen hätten.“
„Neben der präzisen Emissionsfaktor-Zuordnung hat die KI unsere Stammdatenqualität verbessert.“
The biggest challenge often lies beyond your operations.
In many sectors, Scope 3 accounts for more than 70% of reported emissions. Calculating them starts with value-chain data that is often incomplete, inconsistent and difficult to assign.
Quantities without context
Units, kilograms or euros: the basis must match the emissions factor. Missing weights and units make calculations harder.
Scope 3 across sectors
Share of total reported emissions (Scopes 1, 2 and 3). Selected sectors.
- Capital goods
- 98.5 %
- Construction
- 92.3 %
- Agricultural commodities
- 91.9 %
- Food, beverage & tobacco
- 87.4 %
- Chemicals
- 76.1 %
Scope 3Scope 1 + 2
Scope 3.1Purchased goods and services
The chart shows all of Scope 3. Our AI solution addresses one part of it: upstream emissions from purchased goods and services (category 1).
Different data sources
Product-specific information and average data provide different foundations. The type of data source needs to remain visible.
Unresolved questions
A plausible assignment is not yet a confirmed assignment. Missing information and items requiring review need to remain visible.
Emissions begin before your factory gate.
Scope 3.1 covers the raw materials and production of your purchased goods. This is where calculating emissions from your purchase list begins.
Scope 3.1Purchased goods and services
Raw materials
Supplier production
Purchasing
Your operations
Scope 1 · direct emissions
Scope 2Purchased electricity and heat
From your ERP export to the individual product.
AI turns purchasing line items into a structured Scope 3.1 analysis, with data-quality feedback and a calculation basis you can inspect for each item.
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Export your purchasing list
Start with the list from your ERP, using the item descriptions and units you already work with.
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Send it as it is
Your exported file goes straight to be2morrow. No reformatting is needed beforehand.
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Calculate every line item
AI classifies purchases, assigns factors and shows the result, calculation basis and quality for each product.
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Understand the total
See which purchasing categories drive your footprint and trace the results back to each individual line item.
Your purchasing export
ERPPurchasing exportExcel / CSV
| Position / item | Quantity | Weight per piece |
|---|---|---|
| 005Square steel bar20 × 20 × 500 mm | 24 pcs | Not provided |
| 0076205 2RS | 80 pcs | 1.28 kg |
| 009M12 zinc | 500 pcs | Not provided |
Excel (.xlsx, .xls) or CSV. Include weight per piece where available; missing weights stay blank in the export.
The same file, ready to use
Excel / CSV
be2morrow
AI proposes a column mapping. You review and confirm it before analysis.
Inside your analysis
POS-005 · 24 pcsAccounted
Solid square steel bar, 20 × 20 × 500 mm
- Metals
- Steel products
- Square steel bar
- Reference quantity
- 37.68 kg24 pcs × 1.57 kg
- Weight per piece
- 1.57 kgCalculated from dimensions
- Emission factor
- 2.0 kg CO₂e/kgFactor source (example): ecoinvent · Steel · EuropeIllustrative factor, not an original ecoinvent value.
37.68 kg × 2.0 kg CO₂e/kg75.36 kg CO₂e
C
Quality grade C
Complete analysis by category
Example: all purchases
- Total Scope 3.1
- 347.86 t CO₂e
| Category | Emissions (t CO₂e) | Share |
|---|---|---|
| Steel products | 184.73 | 53.1 % |
| Plastics | 76.42 | 22.0 % |
| Electronics | 58.19 | 16.7 % |
| Other categories | 28.52 | 8.2 % |
Total → Purchasing category → Line item
A separate example covering all purchases, not the sum of the three line items shown.
Trace back to the original item
- Original item
- Purchasing export · POS-005 · 24 pcs
- Category
- Metals / Steel products / Square steel bar
- Derivation of the weight per piece
- Solid material: 0.5 m × 0.02 m × 0.02 m × 7,850 kg/m³ = 1.57 kg/piece. Assumed steel density; theoretical weight without manufacturing tolerances.
- Factor source (example)
- ecoinvent · Steel · Europe · Illustrative factor, not an original ecoinvent value.
- Quality grade C
- Example: ecoinvent as the data source; weight per piece derived from the stated dimensions.
Depending on availability, the analysis uses EPD, comparable EPD, Ecoinvent, material or spend-based data. The complete analysis is available to download.
Feedback instead of silent assumptions
POS-007 · 6205 2RS ball bearing
Review requiredUnusual master-data weight: the package weight may have been entered as the weight per item. Check the weight, packaging unit and item count.
Findings flag possible master-data errors, uncertain classifications or missing information.
Your team checks the input and asks colleagues or suppliers where needed. Unresolved items remain visible.
Illustrative workflow with example data. Not a live analysis.
Start with what your purchasing team already knows.
An export from your purchasing system is the first step. Particularly useful information includes:
- Item or service descriptions
- Quantities and units, including weights where possible
- Suppliers and the relevant reporting period
- Expenditure where needed for the calculation
Not every file is complete. Together, we will identify what can be used and where further information is needed.
What you gain
An overview of your purchasing items, assigned emission factors and insight into emission-intensive suppliers and product groups.
The analysis supports your Scope 3.1 inventory. Inventory boundaries, data quality and the suitability of factors still require professional assessment.
Frequently asked questions
What does Scope 3.1 cover?
Scope 3.1 covers purchased goods and services. It is an upstream category within Scope 3. Other categories, such as business travel or the use of sold products, are not automatically included.
Do I need perfect master data?
No. Clear descriptions, quantities and units do improve the mapping, however. Missing or ambiguous information may require further review. We can discuss whether your existing data is suitable before you begin.
Does AI decide what goes into my inventory?
AI supports analysis and factor assignment. It replaces neither professional review nor responsibility for your inventory. Items requiring review can be examined directly.
Can I use the results for reporting?
The analysis provides a basis for accounting for purchased goods and services. Whether it meets your reporting requirements depends on factors including inventory boundaries, the data used and your documentation. It does not provide automatic certification or assurance.
Make sense of your purchasing data.
Together, we will explore what a Scope 3.1 analysis could look like for your company. Send us a question about your data or book a consultation directly.