अनबिल्ड TM डिस्काउंट त्रुटियाँ
Definition
Manual calculation of weighted words based on TM matches (e.g., 75-84% at 70% rate, 95-99% at 10%) results in revenue leakage when full rates are mistakenly paid or discounts not applied correctly[1][7].
Key Findings
- Financial Impact: ₹1-3 per word underbilled on 20-30% fuzzy matches; 2-5% revenue leakage per project
- Frequency: Per project creation, as rates fixed at start[1]
- Root Cause: Manual TM match analysis and supplier net rate scheme errors
Why This Matters
The Pitch: Translation firms in India waste ₹2-5 लाख annually on pricing errors per project team. Automation of TM analysis eliminates underbilling risks.
Affected Stakeholders
Project Managers, Finance Teams, Linguists
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
TM आधारित गलत मूल्य निर्धारण निर्णय
गलत TM लिवरेज से अतिरिक्त लागत
TM दोहराव से रीवर्क
अनक्वालिफाइड ट्रांसलेटर फ्रॉड
अनबिल्ड सर्विसेस
जीएसटी आरसीएम स्टाफिंग सर्विसेज़ पर 18%
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