Rossum

1. Invoices are ingested via email or scanned documents.

2. Rossum Aurora AI extracts relevant data such as invoice number, date, and amounts.

3. Data is validated against master data in the ERP system.

4. Approval workflows are triggered based on predefined rules.

5. Approved invoices are automatically processed and paid.

1. Documents such as purchase orders, delivery notes, and invoices are ingested.

2. Rossum extracts key data points from each document.

3. Data is cross-validated to ensure consistency and accuracy.

4. Discrepancies are flagged for review and resolution.

5. Data is integrated into the supply chain management system for tracking and reporting.

1. Customer orders are received via email or other channels.

2. Rossum extracts order details such as product codes, quantities, and shipping addresses.

3. Data is validated against product catalogs and customer databases.

4. Orders are automatically processed and routed to the appropriate fulfillment centers.

5. Shipping notifications are sent to customers.

1. Product and shipment documents are ingested.

2. Rossum extracts relevant data such as product specifications, batch numbers, and expiration dates.

3. Data is validated against quality standards and compliance requirements.

4. Non-compliant documents are flagged for review.

5. Approved shipments are released for delivery.

1. Invoices are ingested into Rossum.

2. Rossum extracts the required information.

3. Data is validated and processed.

4. Integrates seamlessly with existing systems.

5. Reduces manual effort.