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Autonomous Logistics Orchestration with Multi-Agent AI on Amazon Bedrock (Serverless)

Client Description

WarePro (PIPRA’s WMS) product team, enhancing the platform with autonomous logistics execution—designed for multi-warehouse operations that need faster fulfillment, higher vehicle utilization, and reduced manual coordination.

Engagement Model
Discovery → Prototype → Production hardening → Rollout + support.
Client Location
Global / Multi-region operations (solution designed for cross-geo fulfillment)
AWS Cloud Services
Amazon Bedrock (AgentCore), Strand SDK, AWS Lambda, Amazon API Gateway, AWS Step Functions, Amazon EventBridge, Amazon DynamoDB, Amazon S3, Amazon CloudWatch, AWS IAM, AWS KMS, AWS SNS.
Technologies
Python, event-driven architecture, REST APIs, custom 3D packing optimization engine, IaC (Terraform/CloudFormation)
Target industries
3PL & logistics, eCommerce fulfillment, retail distribution, manufacturing dispatch, freight operations.

Value add

  • Designed to enable autonomous execution for faster fulfillment and better utilization
  • Architecture positioned for 60–70% cost savings via serverless + agent orchestration
  • End-to-end orchestration with human-in-the-loop exceptions, delivering traceable decisions, fewer manual handoffs, and operational control at scale

Solution highlights

  • Traceable execution with audit logs and end-to-end observability
  • Multi-agent workflow that automates order intake, packing decisions, and transport booking
  • 3D packing optimization to improve space utilization and reduce shipment cost with intelligent splitting/grouping of orders based on pick-up/drop-off locations.
  • Human-in-the-loop approvals for exceptions and policy overrides
  • Control panel for visibility: job status, packing plan, booking outcomes

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