Fehlende Datenvisibilität in Demurrage-Pricing-Entscheidungen
Definition
Example: A freight forwarder doesn't realize that Customer A incurs 25% of all company demurrage charges (concentrated at Stuttgart terminal). With visibility, they could: (1) negotiate volume rebate with Stuttgart operator, (2) surcharge Customer A for inefficient container dwell patterns, (3) switch to alternative route. Without data, they absorb the cost.
Key Findings
- Financial Impact: €20,000–€60,000 annually in margin leakage from suboptimal pricing decisions, missed surcharge opportunities, and inability to optimize customer/terminal mix.
- Frequency: Continuous; affects pricing and contract negotiation cycles (quarterly/annual).
- Root Cause: Manual data aggregation; lack of BI/dashboarding for demurrage; no historical trend analysis; siloed information between billing, operations, and sales.
Why This Matters
This pain point represents a significant opportunity for B2B solutions targeting Rail Transportation.
Affected Stakeholders
Revenue Management, Commercial Director, Pricing Analyst, Sales Management
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.
Evidence Sources:
Related Business Risks
Unbilled Demurrage-Accessorials durch manuelle Rechnungsverarbeitung
Fehlende Upsells bei Accessorial-Charges (Cranage, Monitoring, Hazmat-Handling)
Manuelle Demurrage-Tracking führt zu Verzögerungen bei Container-Freigabe
Fehlentscheidungen bei Tarifverhandlungen
Kostensteigerung durch Streckennutzungsentgelte
Überstunden durch Lkw-Koordination
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