Artificial intelligence

The AI-ready TMS for freight operations

AI that assists, answers and acts

OneChain structures freight AI across three levels: AI embedded in modules to read and extract, an assistant that answers inside the product, and agents that can act through Zach or through your own systems.

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OneChain AI stack

The 3 AI layers

In-App AI Read and extract
In-Product AI Answer
External AI Act
AI architecture

Three levels from document to action

The point is not only to read an invoice. The point is to make transport data usable, queryable and actionable.

01 · In-App AI

It assists your teams in each module

Extraction from quotes, invoices, transport documents, rate sheets and attachments. AI removes re-entry and prepares structured data.

02 · In-Product AI

It answers operational questions

Your teams query OneChain about risky shipments, costs, delays, missing documents or invoice discrepancies.

03 · External AI

It acts with your rules and guardrails

Zach operates on forwarder emails for you, or your own agents connect to OneChain via API, CLI and MCP in early access.

Two visions

Zach to operate, Headless to connect your agents

OneChain covers two orchestration models: a OneChain agent that absorbs incoming flows, and a headless platform your data or AI teams can drive.

Zach reads forwarder emails, classifies documents and updates shipment files.
Headless exposes OneChain data and selected actions to your internal agents.
Guardrails: organization-level scopes, read-only by default and explicit approval for sensitive actions.
01

Option A

Agents operated by OneChain

A shared email address receives forwarder messages. Zach matches attachments and surfaces exceptions.

02

Option B

Agents operated by the customer

Your internal agent queries OneChain, reconciles ERP data and prepares operational decisions.

03

Shared foundation

A TMS as reliable source

The same files, statuses, costs, documents and business rules feed humans, dashboards and agents.

Use cases

AI serving business modules

Every AI capability is tied to a concrete freight flow, not to a generic assistant.

Operational proof

AI anchored in real freight flows

Public and anonymized cases show the value of the foundation: fewer emails, less re-entry, and data that can be used to control cost and execution.

8,000 emails avoided per year at Christofle
€31.2k savings detected in 6 months on an industrial case
50+ shipments/day on a healthcare enterprise scope
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