🇮🇳India

वारंटी क्लेम धोखाधड़ी और गलत दावे (Warranty Fraud and Invalid Claims)

3 verified sources

Definition

Manual warranty claim validation lacks cross-referencing of product serial numbers, purchase history, and claim patterns. Fraudulent claims include: counterfeit parts submitted, duplicate claims for same failure, out-of-warranty items claimed as in-warranty. AI case study recovered >$5M for global engine manufacturer via automated fraud detection.

Key Findings

  • Financial Impact: $5 million recovered (single case); estimated 5-10% of claims invalid/fraudulent; typical loss ₹1-3 crore for mid-size OEM annually
  • Frequency: 5-10% of claims detected as fraudulent/invalid post-manual review
  • Root Cause: No real-time serial number verification, no centralized claim history database, manual document review susceptible to tampering, lack of supplier accountability

Why This Matters

The Pitch: Indian OEMs lose $5M+ annually to warranty fraud (detected cases). AI-driven image recognition + real-time serial verification eliminates 40-60% of fraudulent claims. Savings: ₹3-5 crore annually for mid-size player.

Affected Stakeholders

Warranty Claims Processor, Quality Auditor, Dealer/Distributor, Finance Controller

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

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