Descartes Broker & Forwarder Enterprise Systems
Descartes Image Document Management (Descartes IDM)
Using logistics-trained AI agents to transform unstructured information into operationally ready data for customs entry and shipment creation.
What Is Descartes IDM?
Descartes IDM features intelligent agents that interpret Commercial Invoices (CIs), Bills of Lading (BoLs), and other trade documents to convert data into useful formats to manage shipments' and comply with customs regulations.
Embedded directly within Descartes technology, the solution helps customs brokers and freight forwarders reduce repetitive data entry, improve accuracy, and accelerate logistics workflows.
Feature Overview
Agentic Document Intelligence
Unlike traditional document capture solutions that simply digitize information, Descartes IDM interprets logistics documents in context. This means that AI agents understand how multiple shipment documents relate to one another, helping prepare accurate operational data that supports customs and transportation processes.
Embedded Workflow Automation
Since Descartes IDM is built directly into our applications, users remain on one platform during day-to-day work. There is no need to switch between applications, build custom integrations, or manually transfer data between systems.
Multi-Document Intelligence
Process shipment documents all at once, which gives AI the context it needs to prepare more complete and consistent logistics data.
Operationally Ready Data
Descartes IDM prepares information that can immediately support customs entry preparation and shipment creation, reducing manual effort before work even begins.
How Can Descartes Help?
Descartes IDM helps logistics service providers reduce document processing time, which is one of the most labor-intensive aspects of customs and transportation operations. By minimizing repetitive data entry and moving information directly into existing workflows, freight forwarders and customs brokers can improve operational efficiency and boost processing volume.