This view-only demonstration showcases a simulated CFO scenario. For live ERP integrations, automated carbon tracking, custom facility layouts, or guided executive presentation access, please contact the developer team.
| Product | Monthly Volume | Premium/ton | Total Premium |
|---|---|---|---|
| Flat Steel (Auto) | 42,000 t | €85 | €3.57M |
| Long Steel (Construction) | 95,000 t | €35 | €3.33M |
| Specialty (Energy) | 12,500 t | €110 | €1.38M |
| Product | Price/ton | Cost/ton | Carbon/ton | Margin/ton | Total Margin |
|---|
| Move | P&L Impact (monthly) |
|---|
Target 25% green steel capacity by 2028 to capture €12M+ annual CBAM savings and €85/ton green premium
Implement dynamic energy hedging strategy to reduce ±€1.2M/quarter volatility exposure
Monetize 120K tons/year of avoided emissions through verified carbon credit sales
| Equipment | Lock | Tag | Verify | Evidence |
|---|
| Line | Planned | Actual | Adherence | Status |
|---|
| Task | Owner | Status |
|---|
| Action | Owner | ETA |
|---|
| Time | Equipment | Severity | Root Cause | Action |
|---|
| Equipment | Current Heat | Grade | Status | Tons | ETA |
|---|
AI-powered recommendations for process efficiency and emissions reduction across all production routes.
Increase hot blast temperature from 1,180°C to 1,220°C to reduce coke consumption by 3.2%
Install reactive power compensation to reduce electricity consumption by 2.8 kWh/ton
ML model to predict equipment failures 72 hours in advance, reducing unplanned downtime by 40%
| Source | Monthly Volume | Price | Quality |
|---|---|---|---|
| Internal Returns | 2,400 t/month | €0 (free) | Grade A |
| Local Suppliers | 8,500 t/month | €360/ton | Grade A/B Mix |
| Import (EU) | 3,200 t/month | €420/ton | Grade A |
| Automotive Sector | 1,800 t/month | €395/ton | Grade A |
Increasing scrap utilization from 42% to 50% would reduce annual CO₂ emissions by 42,000 tons and save €8.2M/year in raw material costs.
| Production Route | Volume (tons) | % of Total | Avg CO₂ Intensity |
|---|---|---|---|
| BF-BOF (Blast Furnace) | 162,770 | 82% | 1.85 tCO₂/t |
| EAF (Electric Arc) | 29,775 | 15% | 0.45 tCO₂/t |
| H2-DRI (Green Steel) | 5,955 | 3% | 0.15 tCO₂/t |