Fehlentscheidungen bei Trade-In Bewertungen
Definition
Highly fragmented market with small regional firms specializing in used machines faces fierce competition, amplifying errors in trade-in pricing[1]. Slow economic recovery limits visibility into equipment values[1][2].
Key Findings
- Financial Impact: €178-356m industry-wide (2-4% of €8.9-16bn); 20-40 Stunden/Monat pro Bewertung
- Frequency: Pro Trade-In-Transaktion, jährlich wiederkehrend
- Root Cause: Fehlende digitale Sichtbarkeit und standardisierte Bewertungstools
Why This Matters
This pain point represents a significant opportunity for B2B solutions targeting Wholesale Machinery.
Affected Stakeholders
Einkäufer, Bewertungsexperten, Finanzcontroller
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
Verzögerte Forderungsbeitritt im Gebrauchtmaschinenhandel
Kapazitätsverluste durch Gebrauchtmaschinenhandel
Marktrückgang im Maschinenhandel
Überstunden durch unzuverlässige Lieferplanung
Kundenabwanderung durch verspätete Lieferungen
US-Zölle auf Maschinenexporte
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