A global ecommerce and logistics leader operating one of the world’s largest package delivery networks engaged Akraya to modernize their sort center data infrastructure. Supporting millions of daily shipments, the organization needed to replace legacy provisioned systems with a scalable, serverless data lake to power real-time operational decisions and enable AI-driven insights for the supply chain leaders.
Challenges Faced
This section outlines the core difficulties and pain points the client was experiencing. It provides context on the hurdles that needed to be overcome before achieving the successful outcome.
Legacy Provisioned Systems Causing Scalability & Reliability Risks
Existing provisioned databases and legacy tools were prone to failures and could not handle growing data volumes.
Fragmented Data Access Slowing Decision Making
Manual data extraction and siloed storage created delays in identifying sortation bottlenecks and responding to delivery exceptions.
Need for AI-ready, Self-service Data Ecosystem
The organization wanted to enable AI powered natural language queries and self-service data discovery.
Akraya’s Strategic Solution
We engineered a serverless data lake architecture and automated ETL pipelines to transform sort center analytics -
Akraya migrated sort center operational data from provisioned systems to a serverless lake on AWS (S3, Redshift, Athena, Lambda, API Gateway, CloudFormation).
Akraya implemented LLM-based natural language querying integrated with QuickSight, allowing business users to ask questions like “show me sort center throughput exceptions” without writing SQL.
Measurable Outcomes
Operational
99.9% pipeline reliability achieved with serverless architecture that eliminated scheduled downtime and reduced maintenance toil.
Financial
$16.8M annual infrastructure & productivity savings by eliminating provisioned database over‑provisioning and reducing engineering hours spent on manual data requests.
Business
Serverless architecture supports 10x data volume without re‑engineering, ready for predictive sortation models.
Conclusion
Akraya transformed the sort center data infrastructure from legacy, provisioned systems into a modern, serverless data lake. By delivering production-grade pipelines, enabling self-service onboarding, and integrating LLM-based natural language querying, we empowered supply chain leaders with real-time visibility and reduced engineering overhead.
