Case Studies

The Challenge

A major e-commerce operation managing 8 different sales channels was experiencing significant losses due to shipment discrepancies with Amazon FBA. With thousands of shipments processed monthly across all channels, manually tracking and filing reimbursement cases was:

• Time-Consuming: Staff spent 20+ hours per week manually reviewing shipment reports and filing cases
• Error-Prone: Human error led to missed discrepancies and incorrect case filings
• Incomplete: Many eligible discrepancies went unnoticed, resulting in unrecovered funds
• Unscalable: As business grew, manual processes couldn't keep up with the volume

The Solution

All 8 channels implemented Seller Reimbursements' comprehensive platform to automate their entire discrepancy tracking and case filing process:

• Automated Discrepancy Detection: The platform automatically scans all shipment data across all 8 channels, comparing shipped vs. received quantities
• AI-Powered Document Matching: Advanced matching algorithms automatically link POD and Invoice documents to shipment IDs
• Intelligent Case Filing: The system pre-validates cases using the comprehensive checklist, ensuring only eligible cases are filed
• Real-Time Dashboard: Comprehensive dashboard provides visibility into all discrepancies, cases, and recovery status
• Multi-Channel Support: Centralized platform manages discrepancies across all 8 sales channels

Implementation Process

The implementation was completed in phases:

• Phase 1 (Month 1): Platform setup, historical data import (2020-2022), and initial discrepancy analysis
• Phase 2 (Month 2): Automated case filing for high-value discrepancies, staff training on platform usage
• Phase 3 (Month 3): Full automation rollout, integration with existing systems, and process optimization
• Ongoing: Continuous monitoring, case tracking, and recovery optimization

Key Features Utilized

• Bulk Case Filing: Ability to file multiple cases simultaneously, saving hundreds of hours
• Document Management: Centralized storage and matching of POD and Invoice documents
• Match Scoring: AI-powered matching scores help prioritize cases with highest likelihood of success
• Case Tracking: Real-time status updates on all filed cases
• Analytics & Reporting: Comprehensive reports on recovery rates, success rates, and trends

The Results

Over the 5-year period (2020-2025), the 8 channels achieved remarkable results:

Business Impact

• Revenue Recovery: $5.2M recovered directly improved bottom line
• Operational Efficiency: Reduced manual case filing time by 95%, allowing staff to focus on strategic initiatives
• Scalability: System can now handle 10x the volume without additional resources
• Accuracy Improvement: Reduced case rejection rate from 25% to less than 11%
• ROI: Platform investment paid for itself within first 3 months

Year-Over-Year Performance

The platform's effectiveness improved over time as the system learned from patterns and optimized case filing strategies:

• 2020-2021: Initial implementation, recovery rate of 87%
• 2022: Optimization phase, recovery rate improved to 91%
• 2023-2024: Peak performance, recovery rate reached 94%
• 2025: Continued excellence, maintaining 93%+ recovery rate

Challenges Overcome

Throughout the implementation across all 8 channels, several challenges were faced and overcome:

• Data Quality: Initial data inconsistencies were resolved through automated data cleaning and validation
• Document Matching: Complex matching scenarios were handled through AI learning and manual review processes
• Amazon Policy Changes: Platform updates automatically adapted to Amazon's changing policies and requirements
• Scale Management: System architecture scaled seamlessly as case volume increased

Lessons Learned

• Early Adoption Pays Off: Starting with historical data (2020-2022) allowed recovery of previously missed discrepancies
• Automation is Key: Manual processes simply cannot scale to handle high-volume operations
• Data Quality Matters: Investing time in initial data cleanup significantly improved long-term results
• Continuous Monitoring: Regular review of platform analytics helps optimize recovery strategies

Conclusion

This case study demonstrates the transformative power of automated discrepancy tracking and case filing across multiple channels. By implementing Seller Reimbursements across all 8 channels, the operation not only recovered $5.2 million in lost funds but also transformed their operations, achieving a 93.2% recovery rate and 89.43% case success rate over 5 years.

This case study serves as a testament to the platform's effectiveness in handling large-scale, multi-channel operations while delivering exceptional results.