Suboptimale Lieferantenauswahl und Bestandskontrolle durch fehlende Datenvisibilität
Definition
Lack of structured data on supplier performance (on-time delivery %, defect rate %, price trend) keeps repair shops locked into inefficient supplier relationships. Technicians and owners rely on gut feel, not metrics. High-competition market (-1.1% CAGR) means low margins; poor purchasing decisions compound profitability loss.
Key Findings
- Financial Impact: €1.2-1.9 million annually (sector-wide, 10-15% procurement waste); per shop: €850-1,300/year
- Frequency: Continuous; affects 40-50% of procurement decisions
- Root Cause: No purchase order system with analytics; no supplier scorecard; fragmented invoices and delivery notes; DATEV integration incomplete
Why This Matters
This pain point represents a significant opportunity for B2B solutions targeting Footwear and Leather Goods Repair.
Affected Stakeholders
Shop Owner, Procurement Manager, DATEV Administrator
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
Unabrechnete Spezialschuhe und Lederreparaturen durch manuelle Bestellprozesse
Übermäßige Nachbestellungskosten und Lieferkettenverzögerungen durch Spezialschuhmaterial-Sourcing
Fehlende ZUGFeRD-Rechnungskonvertierung und GoBD-Dokumentation bei Lieferanteneinkauf
Barrierefreiheit-Meldepflicht & Marktüberwachungs-Compliance
Right-to-Repair Mitteilungspflicht & Kostentransparenz-Lücken
GPSR-Meldepflicht bei Sicherheitsmängeln & Benachrichtigungsverzögerung
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