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Modernizing Merchant Risk Analytics
with AWS Bedrock

Dualboot helped WebPR speed up merchant risk analytics on AWS, boosting accuracy and cutting costs with AI-powered automation.
See Our Impact

WebPR is a fast-growing small-to-medium business (SMB) that provides a cloud-based platform for merchant portfolio credit-risk assessment and online-reputation monitoring.

The company helps payment processors and financial institutions assess merchant reliability by aggregating public data—reviews, complaints, and business listings—from more than 100 sources and converting it into actionable intelligence.

The Solution

Dualboot Partners rebuilt WebPR’s data platform as a cloud-native, AI-enhanced ingestion and analytics system on AWS, powered by Amazon Bedrock for automated data curation and enrichment.

Architecture Highlights

  • AI-Powered Data Curation (AWS Bedrock): Foundation models detect duplicates, normalize inconsistent fields, and classify sentiment—improving data accuracy by 81%.
  • Containerized Ingestion (Amazon ECS + ECR): Microservices ingest and process data from 100+ sources, scaling automatically with workload demand.
  • Multi-Tiered Data Storage: Structured data in Amazon RDS (PostgreSQL); unstructured merchant feedback in Amazon DocumentDB.
  • Centralized Data Lake: Amazon S3 stores raw and curated datasets, with lifecycle policies reducing long-term costs.
  • Security & Observability: AWS IAM, Secrets Manager, KMS, and CloudWatch ensure encryption, least-privilege access, and proactive monitoring.
  • Automation: GitLab CI/CD and Terraform Infrastructure-as-Code (IaC) deliver zero-downtime deployments using blue/green strategy.

AWS Services Used

Amazon ECS | Amazon ECR | Amazon RDS (PostgreSQL) | Amazon DocumentDB | Amazon S3 | AWS Bedrock | AWS IAM | AWS KMS | AWS Secrets Manager | Amazon CloudWatch | AWS CodePipeline | Terraform IaC

The Impact

The Results

  • 66% faster ingestion: Processing time reduced from two hours to 40 minutes.
  • 81% higher data accuracy: Bedrock-powered normalization cut duplicates to under 4%.
  • 50% less manual QA effort: Saving approximately 400 engineering hours per year.
  • 14% lower monthly cloud costs: Auto-scaling and lifecycle policies reduced waste.
  • 99.9% uptime: Achieved through Multi-AZ design and CloudWatch-driven failover.
  • AI at the core: Bedrock positioned WebPR as an SMB leader in intelligent data curation, improving service quality and operational efficiency.

Continuous Improvement

Early Bedrock integration surfaced variability in AI results and temporary cost spikes from rapid scaling.

Dualboot implemented standardized prompt design, performance benchmarking, and AWS Cost Anomaly Detection—reducing variance by 25% and stabilizing spend.

These learnings now inform Dualboot’s broader AWS modernization framework for SMB clients adopting generative AI.

“AWS Bedrock transformed how we handle data quality—what once took hours of manual review now happens automatically in minutes.”