ATLAS FAQs

Question 1

What types of data sources can ATLAS connect to?

Accepted Answer

ATLAS offers extensible connectors for various data sources, including Email (IMAP/Exchange), Filesystem (JSON, CSV, PDF), and generic REST APIs. Integrations for SAP TM, Oracle TMS, Transporeon, and project44 are also planned.

Question 2

What is ATLAS and what problem does it solve?

Accepted Answer

ATLAS is an open-source Model Context Protocol (MCP) server that provides AI agents with deep, secure operational context from your existing logistics systems. It solves the problem of enabling useful AI agents without compromising data security or compliance, by keeping all data within your infrastructure.

Question 3

What are some practical use cases for ATLAS in logistics?

Accepted Answer

ATLAS empowers AI agents for critical tasks such as carrier negotiation (e.g., querying historical volumes and rates), customer service (e.g., retrieving real-time shipment status), and procurement (e.g., identifying top carriers for specific routes based on performance data).

Question 4

Is ATLAS an open-source solution and how can I get started?

Accepted Answer

Yes, ATLAS is an Apache 2.0 licensed open-source project. You can easily get started by running it via Docker, configuring your data sources in `config.yml`, or integrating it into MCP-compatible AI agents.

Question 5

How does ATLAS ensure my logistics data remains secure?

Accepted Answer

ATLAS guarantees zero data egress: all data processing, storage, and local vector embeddings occur entirely within your security perimeter. Your raw operational data never leaves your infrastructure, addressing compliance, legal, and security concerns.

ATLAS

ATLAS

주요 기능

사용 사례

주요 기능

사용 사례