Turn Documents and Images into Operational Intelligence

EPG AURA Observer IDP

Automating Document Workflows in Logistics

Logistics operations rely on documents such as delivery notes, freight papers, invoices, and customs records, yet much of this information still enters execution systems manually. This creates delays, avoidable errors, and limited transparency at critical process points.

Intelligent Document Processing (IDP) solves this by automatically capturing, interpreting, and structuring document content, making relevant information immediately usable for faster workflows, better data quality, and more reliable execution. The extracted data can be seamlessly integrated into warehouse management systems, transport management platforms, ERP environments, and other external business applications—ensuring that information is available exactly where it is needed across the logistics ecosystem.

主なメリット

Less manual effort in document handling:

Capture and structure logistics document data automatically instead of processing it manually.

Higher data quality in daily operations:

Reduce errors caused by missing, delayed, or inconsistent document information.

Faster document-driven workflows:

Make inbound, shipping, customs, and compliance data available immediately where processes depend on it.

Better transparency at critical touchpoints:

Increase visibility wherever document quality influences timing, flow, or operational decisions.

Reliable integration into logistics execution:

Transfer structured information directly into connected operational systems.

製品資料ダウンロード

AURA Observer IDP (Intelligent Document Processing)

Example Use Cases for IDP

See how AURA Observer IDP turns document-based processes into usable operational intelligence. Product views, document examples, and short demonstrations show how information is captured, structured, and made available for faster logistics execution.

Capture inbound data from delivery notes and goods receipt documents.

Process customs and compliance documents more reliably.

Extract information from shipping and transport paperwork faster.

Structure air cargo documents in time-critical environments.

Detect missing or inconsistent document information early.

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For Microsoft, the real value does not lie solely in the availability of technological infrastructure, but in the ability to derive concrete operational relevance from it

"A company becomes an AI Frontier Firm when AI is no longer limited to isolated pilot projects, but systematically creates competitive advantage. That is exactly what we see at EPG."

Patrick Schidler, Regional Sales Director Cloud and AI at Microsoft

ご質問明確な回答

ここでは、EPG AURAに関するよくある質問――その目的や機能、そしてAIを活用したよりスマートなサプライチェーンの実行をどのように支援するか――への回答をご紹介します。

Which document types can AURA Observer IDP process?

In general, every document can be processed, for examples delivery notes, freight documents, invoices, customs papers, and compliance-related records.

Does the solution require manual template creation for every document?

No. We take the existing documents and train AURA. No manual work for creation is needed.

Can extracted data be transferred into existing systems?

Yes. Relevant information can be structured and passed into connected logistics workflows.

Is IDP limited to document recognition only?

No. The solution can also derive operational information from image-based sources where relevant.