Unbilled und fehlerhaft fakturierte Schrottmengen bei Gewichtsabweichungen
Definition
Scrap metal traders receive material in mixed loads (old scrap, production offcuts, alloyed grades), weigh incoming material, sort/grade, then sell to steelworks/foundries. The grading process (shredding, pressing, briquetting per GMH process description) causes material loss (dust, fines, packaging trim) of 2–6% depending on grade. Manual reconciliation of pre-processing weight vs. post-processing sellable weight, combined with customer deduction notices and invoice corrections, creates a 30–60 day cash collection cycle delay. Unbilled quantities arise when weight loss documentation is incomplete, preventing adjustment invoices before payment deadline.
Key Findings
- Financial Impact: €12,000–€40,000/year per 10,000-tonne/year facility. Typical scrap price: €200–€400/tonne. Weight loss of 3% = 300 tonnes unbilled at €300/tonne = €90,000 exposure; if only 15% is recovered (€13,500), net loss = €76,500. Conservative estimate assumes 5–10% of weight variance goes unbilled due to documentation lags.
- Frequency: Every batch (weekly cycle for mid-size processor); cumulative impact visible in monthly AR aging and customer deductions.
- Root Cause: Disconnected weight systems (scale output, truck slips, batch records) not integrated with invoicing ERP; manual data entry creates transcription errors; no automatic billing trigger for weight-loss adjustments before customer payment window closes.
Why This Matters
This pain point represents a significant opportunity for B2B solutions targeting Wholesale Metals and Minerals.
Affected Stakeholders
Waage/Wiegen (Weighing Staff), Lagerlogistik (Warehouse Logistics), Rechnungswesen (Accounts Receivable), Kundenservice (Customer Service — dispute resolution)
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Financial Impact
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Current Workarounds
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Methodology & Sources
Data collected via OSINT from regulatory filings, industry audits, and verified case studies.
Related Business Risks
Klassifizierungsfehler bei Schrottgradierung und Umsatzsteuerrisiko
Manuelle Nachbearbeitung und Rework durch Spezifikationsverstöße (Kontaminationen)
Lieferkettensorgfaltgesetz (LkSG) Dokumentation und Betriebsprüfungsrisiko
Wartezeiten durch manuelle Prüfung und Klassifizierungsprozess (Durchsatzreduzierung)
Betrug in Commodity-Backed Finanzierungen
Fehlentscheidungen bei Futures aufgrund mangelnder Sichtbarkeit
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