If needed, new and custom checks can be developed to meet all business and tax requirements. Based on a combination of the data read from the supplier invoice during the scanning process, the master data and the transactional data, our logic will route the invoice to an exception flow in case certain legal requirements are not met. Generates reports – uses built-in reports and data models based on company code, business unit, supplier, exception type, liability and more to turn insights into action.ĭrills down into invoice information – accesses applications, content and history using intuitive, graphical dashboards with buttons that drill down into the original invoice image and information, purchase order and goods receipt.Our solution Our solution: indirect tax controlsīy making use of the full potential of the possibilities in VIM, Deloitte has combined their Tax expertise with OpenText technology and developed a logic to include Indirect Tax controls within the AP process. Leverages designated workflows: provide predefined workflows with robust and extensible baseline functionality, shortening implementation time and reducing deployment costs.Īutomates invoice routing and sorting – designated workflow steps sort and route invoices based on user roles, authorization rules, priorities, and predefined timelines to ensure actions are taken by individuals with both the applicable knowledge and security access. Optimizes the review and approval process: intelligently enriches missing information, offers controlled and automated exception detection and handling, parallel approvals, escalations, invoice posting, and reporting, resulting in a reduced cost per transaction.
OpenText Vendor Invoice Management for SAP Solutions Product FeaturesĮnters invoices from any source from any location: via all input channels and in any format directly into the ERP system.Īutomates invoice data extraction: integrates with Information Extraction Service to cull invoice header and line item details quickly, reliably and automatically, based on a knowledge base of thousands of invoice samples in combination with machine learning.
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