🇩🇪Germany

Suboptimale Lieferantenauswahl und Bestandskontrolle durch fehlende Datenvisibilität

2 verified sources

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

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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.

Evidence Sources:

Related Business Risks

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