Proof Of Delivery & Logistics Dispute Resolution Agent
Discover how an AI-powered logistics agent uses Amazon Bedrock and RAG to organize delivery evidence, detect documentation gaps, and streamline dispute resolution.
Business Process Challenges
A Canadian logistics and transportation provider wanted to improve how delivery disputes were investigated and resolved. Shipment records, delivery photographs, signed receipts, carrier documents, and customer communications were scattered across multiple systems, making it difficult for operations teams to build complete and accurate dispute cases.
Manual evidence collection and verification created delays in identifying missing documentation, investigating delivery discrepancies, and responding to customer claims. Teams also faced challenges coordinating follow-ups between logistics operations, customer service, and carrier partners.
The organization needed a more structured approach to shipment evidence verification and dispute preparation while maintaining human oversight over liability decisions and financial adjustments.
Our Strategic Approach
Softree Technology proposed an AI-powered Proof-of-Delivery and Dispute Resolution Agent using Amazon Bedrock, Amazon Bedrock AgentCore, and retrieval-augmented generation (RAG). The approach connects authorized logistics systems and document repositories to intelligent workflows that collect evidence, identify discrepancies, and prepare dispute cases for review.
The agent retrieves shipment records, delivery photographs, signatures, timestamps, and carrier documentation. It compares available evidence against shipment details and customer-reported discrepancies to identify missing or conflicting proof.
Using RAG, the system retrieves relevant delivery policies, carrier agreements, and dispute procedures to support evidence-based analysis. It then organizes supporting records into structured dispute summaries, highlights documentation gaps, and drafts requests for missing information.
Workflow orchestration coordinates evidence collection, carrier follow-ups, and dispute status tracking. React and TypeScript provide an interface for reviewing evidence and managing approvals, while AWS services support backend processing, access control, and audit logging.
Final dispute decisions, liability assessments, and financial adjustments remain under authorized human review.
Our Engineering & Delivery Process
Our structured project delivery approach takes you from discovery and planning to development, testing, and deployment, ensuring quality, transparency, and predictable outcomes at every stage.
Discovery & Architecture
Deep-dive technical audit of existing systems, security baselines, API mapping, and comprehensive cloud target blueprinting.
UX & System Prototyping
Role-based user journeys, wireframing, high-fidelity clickable Figma prototypes, and API contract specifications prior to build.
Agile Sprint Engineering
Modular development sprints delivering clean, shippable code with automated CI/CD pipelines and continuous testing.
QA & Security Hardening
End-to-end regression suites, cross-device verification, load stress audits, and penetration testing for enterprise resilience.
Production Launch & Scale
Zero-downtime blue-green production deployment, real-time telemetry, administrator training runbooks, and ongoing SLA support.
Explore the Solution Through visuals
What changed for the client.
The proposed AI agent establishes a more structured and evidence-driven approach to logistics dispute management.
- Faster collection and organization of shipment evidence.
- Earlier identification of missing or conflicting delivery documentation.
- Reduced manual effort in preparing dispute summaries.
- More consistent carrier follow-ups and evidence tracking.
- Improved visibility into dispute status and resolution workflows.
- Human-controlled approval processes for dispute decisions and financial adjustments.
By bringing shipment records, delivery evidence, and intelligent analysis into a coordinated workflow, the approach can help logistics teams prepare dispute cases more efficiently while maintaining accountability and operational control.
The numbers behind the rollout.
The full integration layer.
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