CELSA Procurement AI
AI-powered sourcing intelligence
Active Sourcing Events
AI Opportunities
Generated from live scoring modelProcurement AI Assistant
I identified three recommended suppliers and a sourcing combination that balances cost, quality, logistics, risk and sustainability.
Estimated opportunity: €214,350.
Sourcing Workflow
Follow the full AI-assisted sourcing journey: from raw supplier documents to a defensible, explainable award recommendation.
RFQ-2026-1042
Ferrous Scrap HMS 1/2
Sourcing Pipeline
Invited Suppliers
| Supplier | Region | Offer Status |
|---|
AI Summary
All 6 supplier offers for RFQ-2026-1042 have been ingested, normalized and scored by the AI engine. The model estimates a total sourcing opportunity of €214,350 versus a naive lowest-price baseline, while reducing average supply risk and improving traceability and sustainability metrics.
AI Document Processing
Convert unstructured supplier offers into comparable, structured data
Incoming Supplier Offers (RFQ-2026-1042)
Intelligent Supplier Comparator
Total landed cost & AI score — not just headline price
Supplier Comparison — RFQ-2026-1042
AI Score model: default weighting (editable in AI Supplier Score)| Supplier | Base Price €/t | Logistics €/t | Total Landed Cost €/t | Available Volume | Quality | OTIF | Traceability | CO₂ | Risk | AI Score |
|---|
Total Landed Cost = Base Price + Transport + quality/OTIF/traceability adjustments + supply-risk penalty. Global Scrap Trading shows the lowest base price but ranks low overall once landed cost and risk are considered.
Base Price vs. Total Landed Cost
AI Procurement Score
Configurable multi-criteria scoring model — adjust weights and watch the ranking react in real time
Scoring Weights
Live Ranking
Supplier Profile Comparison
AI Award Recommendation
Multi-supplier allocation optimized across cost, quality, risk and sustainability
Recommended Allocation — 15,000 t
AI Explanation
Although Global Scrap Trading offers the lowest base price, it is not included in the recommended allocation because its total landed cost, delivery reliability, traceability and supply risk materially reduce its economic advantage.
EcoFer Metals receives the highest overall score due to its combination of competitive landed cost, historical quality, delivery reliability and complete traceability.
Recimet Catalunya is strategically attractive despite a slightly higher purchase price because of its proximity to the plant, very high delivery reliability and reduced logistics exposure.
The recommended multi-supplier allocation also reduces dependency on a single supplier.
- €72K estimated logistics saving
- Higher expected material quality
- 23% lower supply disruption exposure
- 27% lower logistics CO₂
- Increased supplier diversification
All figures shown are simulated for demonstration purposes.
Lowest Price Strategy vs. AI Optimized Strategy
| Metric | Lowest Price | AI Optimized |
|---|
Cost Breakdown / Should-Cost Analysis
AI-estimated fair cost vs. supplier quoted price
Cost Components (€/t)
Price Assessment
Supplier Risk Intelligence
Multi-category risk map across all invited suppliers
Circular Procurement Intelligence
Sustainability, traceability and CO₂ impact of the sourcing decision
100% Recycled Ferrous Input
Logistics CO₂ by Supplier (kg CO₂e/t)
Traceability Score by Supplier
Certifications on File
| Supplier | Certifications | Traceability | CO₂ Logistics |
|---|