Kosten durch Fehlbestände und Nacharbeit infolge fehlerhafter Bestände
Definition
Industry guidance highlights that low inventory accuracy drives picking errors, stockouts and process exceptions, while technology‑enabled cycle counting improves accuracy towards 95%.[4][5] In wholesale distribution, this manifests as sales orders being released on the assumption that stock exists; when pickers cannot find it, orders are short‑shipped or substituted, followed by customer complaints, credits, and sometimes penalty charges for delayed projects. For a hardware/plumbing wholesaler with AUD 10m in annual sales and average order lines of small‑medium value, if 2–5% of orders incur additional handling and freight costs of AUD 30–60 per incident (extra pick/pack time, extra consignment, credit processing), annual avoidable cost sits in the range of ≈AUD 50,000–150,000.
Key Findings
- Financial Impact: Quantified (Logic + Benchmark): Assuming 2–5% of annual orders affected by inventory inaccuracies at ≈AUD 30–60 incremental cost per issue (labour, freight, credits), a wholesaler with AUD 10m of annual sales incurs ≈AUD 50,000–150,000 per year in avoidable quality‑of‑service costs linked to poor cycle counting.[4][5]
- Frequency: Daily; issues occur whenever pickers cannot find system‑available stock or discover damage/expiry not reflected in records.
- Root Cause: Infrequent or poorly designed cycle counts; failure to prioritise A‑items; lack of root‑cause analysis on recurring variances; absence of real‑time updates when stock is damaged, written‑off or relocated.
Why This Matters
The Pitch: Australian 🇦🇺 hardware and plumbing distributors with poor cycle‑count discipline often see 2–5% of orders affected by inventory errors, triggering re‑picks, partial shipments and credits. Tightening cycle counts and integrating them with the WMS can reduce such errors by half, saving AUD 50,000–150,000 per year per AUD 10m in sales.
Affected Stakeholders
Sales and Branch Staff, Customer Service, Warehouse Supervisor, Key Account Manager
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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
Inventurdifferenzen und Schwund durch ungenaue Cycle Counts
Hohe Personalkosten durch manuelle Inventur- und Cycle-Count-Prozesse
Fehlentscheidungen bei Disposition und Einkauf durch ungenaue Bestände
Erlösverluste durch fehlerhafte oder verspätete Rechnungsstellung
Strafzuschläge und Zinsen wegen fehlerhafter GST/BAS‑Erfassung von Forderungen
Produktivitätsverlust durch manuelle Debitorenbuchhaltung
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