Innovations and Intelligence in the new SAP S/4HANA 1809

SAP S/4HANA is an intelligent ERP solution that enables companies to capture every opportunity in today’s digital world, SAP S/4HANA removes common obstacles associated with legacy ERP applications, such as batch latency, complex landscapes, and manually-driven processes. The latest release, SAP S/4HANA 1809 provides new innovations in a number of key industries.

In the area of Procurement, we’re delivering s number of Machine Learning capabilities with SAP S/4HANA 1809, for example:

• Increased invoice automation and efficient invoice monitoring for exception handling
• Reduction of free-text items by automatically proposing the creation of a new catalog item
• Proposal of material group for free-text items in purchase requisitions
• Provision of options for materials without source of supply

Quotation Conversion Rates is an innovation in Sales and Distribution which truly delivers on the promise of an intelligent ERP. As an internal sales representative or a sales manager, you can use Quotation Conversion Rates to track to what extent your quotations are being converted into sales orders before expiring. By leveraging machine learning capabilities, you can gain predictive insights into quotation conversion by comparing actual and predicted results. The Quotation Conversion Probability (also known as Order Probability) is the probability that a quotation item will be converted into a sales order item. The probability, expressed as a percentage, and net value of the quotation is used in order to calculate a total expected order value.

In Manufacturing we’re introducing Demand-driven replenishment. With the demand-driven buffer level management, you can plan and manage supply chains much more efficiently. Providing decoupling points with strategic stock positions, manufacturers can avoid the so-called “Bull-Whip-Effect”, where the variations in demand increases as you move further up the supply chain from customer to supplier.

Moreover, in inventory management, we included intelligence by leveraging predictive analytics and machine learning for decision support.

Finance as well has quite a few intelligent innovations in store for you, for example predictive accounting. When a sales order is confirmed in the system, this is not recorded in accounting until goods have been delivered and the invoice has been sent. With the predictive accounting functionality, based on the sales order, a predictive goods issue and a predictive invoice is registered.

• Group reporting – The need to deliver accurate, up-to-date financial information continuously in a company’s consolidation process is not limited to the level of an individual entity. Therefore, SAP has introduced the SAP S/4HANA Finance for Group Reporting solution which provides direct access to the underlying transactions and detail across the entire enterprise so that a company can confidently and efficiently consolidate their financial and managerial results required in their closing cycles. It enables organizations to extend this evolution towards a continuous financial close on group level. It provides unprecedented transparency by delivering a complete flow of collection, processing, analysis and publication of the information.
• Embedded analytics – Most finance professionals will agree that it is often cumbersome to get interesting information out of their ERP system. Additional capabilities have been added to support business users in getting insights more flexibly and efficiently, so they can concentrate on acting on the information, rather than investing time in number crunching.
• Tax service – Global tax regulations get more diverse, complicated and change more often than ever before. Keeping up with the pace of change, typically in multiple systems, is a challenge. SAP’s response is a central tax determination engine with rules and rates maintained by SAP or its partners. With the SAP S/4HANA 1809 release, emphasis has been placed on enabling self-service tax management, facilitating an organizations chosen approach to reduce the risks and costs of inaccurate calculations and liability from non-compliance

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