Manuelle Bearbeitungslast durch viermalige Mahnprozesse und fehlende Automation
Definition
Staatsbibliothek Berlin and University of Leipzig explicitly document multi-stage reminder processes: Email reminder (DAY 4 before due date), then escalating postal/email reminders before account blocking. Staff must manually trigger each reminder, verify user contact info, and track responses. No mention of automated dunning or template-based escalation.
Key Findings
- Financial Impact: €15,000–€35,000 annually (estimated: 12,000–15,000 reminders/year ÷ 3 reminders per claim = 4,000–5,000 claims × 3–5 touches/claim × 0.3 hours per touch × €30/hour = 3,600–7,500 hours labor)
- Frequency: 100% of overdue/unpaid claims trigger multi-stage reminders; ongoing cycle 12 months/year.
- Root Cause: Library management systems (e.g., ALEPH, Koha) lack integrated automated dunning engines. Manual export of overdue/unpaid lists to email/mail systems. No API integration with accounting systems for unified billing workflow.
Why This Matters
This pain point represents a significant opportunity for B2B solutions targeting Libraries.
Affected Stakeholders
Library Service Desk, Information & Service Staff, Accounting/Collections
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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
Verzögerte Forderungseinzug durch mehwöchige Bearbeitungsprozesse
Unbezahlte Ersatzgebühren durch mangelnde Nachverfolgung und Account-Sperrungen ab Minimalschwellen
Service-Sperrung und Nutzerverlust durch Nicht-Compliance
Fehlende Qualitätsstandards und GoBD-Risiken bei dezentraler Mittelverwaltung
Fragmentierte Beschaffung und doppelte Lizenzeinkäufe
Manuelle Budgetverteilung und verzögerte Fondsverwaltung
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