The Client

A national furniture insurance provider administering protection programs for hundreds of furniture retailers across the United States.

The Challenge

Processing furniture insurance claims was slow and labor-intensive. Adjudicators manually reviewed policy documents, analyzed damage photos, and determined claim eligibility—spending 30 minutes to several hours per claim.

The key problems:

  • Scattered policy documents: Protection plan terms for 100+ retailers lived in separate PDFs with inconsistent coverage language and exclusions.
  • Time-intensive reviews: Each claim required 30 minutes to several hours of manual work to locate the right policy, interpret coverage terms, and evaluate claim evidence.
  • Limited scalability: The manual process created operational bottlenecks as claim volumes increased, preventing the business from growing efficiently.

Bottom line: The manual workflow was error-prone, inconsistent across adjudicators, and couldn’t scale with business growth.

The Solution

Trailmix Labs built a fully hosted, AI-powered claims adjudication platform that automates the manual review process.

How it works:

  1. Auto-Ingest: The system automatically imports claim data, customer details, and protection plan documents, parsing coverage terms and exclusions from PDFs.
  2. Auto-Analyze: The AI combines computer vision and natural language processing to detect damage types from photos and compare findings against policy language.
  3. Auto-Recommend: Adjudicators receive recommended claim outcomes with highlighted coverage clauses and supporting evidence, maintaining full audit trails for compliance.

Timeline: Under 90 days from kickoff to live deployment.

The Impact

MetricBeforeAfter (With Trailmix)
Adjudication Time30 minutes to several hours per claimReduced by 25%
Policy AccessDisconnected PDFs across 100+ retailersCentralized in one platform
Overall ProcessManual, inconsistent, bottleneckedFully automated with human-in-the-loop verification

Business results:

  • 25% faster average claim resolution time allows the team to process significantly more claims with existing staff.
  • Thousands of adjudication hours saved annually redirect labor to customer satisfaction and high-value decision-making.
  • Improved consistency across 100+ retailer protection agreements eliminates adjudicator variability and reduces disputes.
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