The AI Transformation Platform for Logistics & Supply Chain

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Secure Agentic AI for Logistics Operations, Shipment Tracking, and Supply Chain Automation

StackAI helps logistics leaders like FedEx deploy secure AI agents that automate tender review and bid analysis, streamline shipment documentation with transcription and translation, and connect to internal systems to accelerate operations—cutting processes that took days down to minutes.

On-premise deployment

Built-in governance and analytics

White-glove support from AI experts

Templates for shipment tracking automation, logistics tender review, and supply chain operations

Governance

Multi-Layer Governance

Governance on StackAI ensures that AI agents are built and deployed safely, so enterprises can scale their AI initiatives with confidence.

Governance

Multi-Layer Governance

Governance on StackAI ensures that AI agents are built and deployed safely, so enterprises can scale their AI initiatives with confidence.

Governance

Multi-Layer Governance

Governance on StackAI ensures that AI agents are built and deployed safely, so enterprises can scale their AI initiatives with confidence.

Granular RBAC

Create custom roles and groups

Global Policy

Admins set cross-cutting policy

Agentic Development Life Cycle

The safest path from prototype to production

Analytics

Customizable audit logs and global analytics

Delegated Permissions

Enforce end-user access to sensitive information

Scope Control

Assign users and groups to private folders

Case Studies

Trusted by Global Logistics and Operations Leaders

Large enterprises trust StackAI to automate high-volume, document-heavy workflows and drive massive operational efficiency with AI agents.

Case Studies

Trusted by Global Logistics and Operations Leaders

Large enterprises trust StackAI to automate high-volume, document-heavy workflows and drive massive operational efficiency with AI agents.

A national insurer deployed AI agents with StackAI to automate high-volume, document-heavy operational workflows at enterprise scale, saving over 20,000 hours per week. This demonstrates how large organizations can use AI to dramatically streamline processing, reduce manual effort, and drive efficiency across complex operations.