Fedex + Rossum| Automate complex transactional workflows

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How can scale global document processing with Rossum

FedEx

Join other enterprises scaling invoice automation worldwide while reducing processing times by 93% with Rossum.

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World’s top enterprise companies trust Rossum

From document delays to production-ready data

FedEx challenges

Volume & complexity

Supplier invoices, freight bills, delivery notes, and compliance certificates arrive in countless formats. Some are scanned, others are system-generated. The variety makes automation difficult across both SAP S/4HANA and Coupa.

Supplier invoices, freight bills, delivery notes, and customs documents arrive in many formats. That variety hinders automation.

Manual load despite automation

Existing automation tools fall short. Teams still re-enter line by line into SAP S/4HANA and Coupa. Human effort slows turnaround times, creates bottlenecks, and adds cost. Even small mistakes in amounts, codes, or delivery dates trigger rework downstream.

Teams still re-enter line by line into SAP S/4HANA and Coupa, which causes delays and errors..

Operational risk

When errors slip through, the impact multiplies. Late payments affect supplier relationships. Incorrect order entries disrupt transport schedules. Customs and compliance checks take longer. Finance, procurement, and logistics all feel the impact.

Errors delay payments, disrupt shipments, and slow customs clearance. Finance, procurement, and logistics all feel the impact.

Rossum solution

Adapts to any document type

Rossum processes invoices, freight bills, shipping notices, and certificates without templates or rigid configuration. It learns directly from FedEx’s documents and adapts to new variations. Clean data is prepared for SAP S/4HANA and Coupa, streamlining finance and procurement.

Automation that delivers

Rossum understands the frustration when automation still requires manual fixes. It captures data accurately, validates it against FedEx’s business rules, and flags discrepancies before they cause delays. With direct integration into SAP S/4HANA and Coupa, validated data flows in automatically. Restoring trust in automation.

Improves data quality

With validated data flowing directly into SAP S/4HANA and Coupa, FedEx gains reliable financial and procurement records. Payments are processed on time. Orders and freight movements are tracked correctly. Logistics runs with fewer interruptions and less risk of costly delays.

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Rossum solution

Adapts to any document type

Automation that delivers

Improves data quality

Let's Talk

Rossum solution

Adapts to any document type

Rossum learns FedEx’s document types and adapts without templates. Clean data goes to SAP S/4HANA and Coupa.

Automation that delivers

Rossum validates and flags exceptions early. With SAP S/4HANA and Coupa integration, clean data flows automatically.

Improves data quality

Validated data in SAP S/4HANA and Coupa, FedEx keeps payments on time and logistics running smoothly.

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How Rossum works with FedEx's tech stack

SAP S/4HANA and Coupa demand precision and compliance. Rossum delivers clean supplier data to both, keeping systems reliable and production on track.

Document flow into SAP S/4HANA and Coupa

Rossum fits into the document journey without changing how FedEx operates.

Receive - supplier invoices, freight bills, delivery notes, and compliance certificates are captured from email, EDI, or file uploads.

Sort - documents are classified by type and priority, ready for processing.

Extract - Rossum captures structured and unstructured data, learning from FedEx’s corrections over time.

Action & integration - clean, validated data is exported directly into SAP S/4HANA and Coupa, powering finance, procurement, and logistics workflows without manual re-entry.

How the PoR achieved 90% accuracy after only 10 documents

"We are enthusiastic about Rossum’s performance and its capability to quickly learn and adapt to the wide range of Tonnage Certificates used by shipping agencies! This has been instrumental in building the team’s trust and confidence in this AI automation initiative.”