Fehlentscheidungen bei Beschaffung/Produktion durch schlechte Bestandsdaten
Definition
Manual, infrequent cycle counts leave buyers and planners working with stale data. They make purchasing and production decisions based on incorrect inventory visibility, leading to overstock, obsolescence, or emergency expediting.
Key Findings
- Financial Impact: 2–5% of Cost of Goods Sold (COGS). For €10M COGS: €200,000–€500,000 annual waste. Typical breakdown: 1% excess inventory (write-off/obsolescence), 1% rush-order premium, 0.5–2% stockout sales loss.
- Frequency: Ongoing; manifests quarterly/annually in variance analysis, write-offs, and margin erosion.
- Root Cause: No real-time inventory visibility; cycle counts infrequent (monthly or worse); system data lags physical reality by days/weeks.
Why This Matters
This pain point represents a significant opportunity for B2B solutions targeting Turned Products and Fastener Manufacturing.
Affected Stakeholders
Procurement Manager, Production Planner, Controller
Deep Analysis (Premium)
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
Bestandsschrumpfung durch manuelle Zählung ohne Kontrolle
GoBD-Verstoß durch mangelhafte Bestandsabstimmung
Produktivitätsverlust durch manuelle Bestandszählung
Verzögerte Zahlungsabwicklung durch manuelle Bestandsbestätigung
Überschüssige Betriebskosten durch ineffiziente Bestandszählung
Lieferkettensorgfaltspflichtengesetz (LkSG) Bußgelder und Strafen
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