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SAP Business AI for measurable sales growth

  • By sujay
  • 15/06/2026
  • 5 Views

Welcome to the SAP Business AI product updates for the first quarter of 2026. Although I'm new to the role of Chief AI Officer, the goal remains the same: support our customers so they can derive real value from AI.

The tender analysis agent

General availability

Sales teams can streamline their bid submission process with the RFP Analyzer agent. This agent automates the review of complex tender documents. The agent extracts key product requirements, flags potential risks and policy gaps, and suggests optimized configurations tailored to customer needs. By reducing the effort required to process inbound RFPs by five percent and improving win rates, companies can achieve measurable revenue growth while accelerating sales cycles and unlocking valuable cross-selling and up-selling opportunities.

9. Tender Analysis Agent
Sap Business Ai For Measurable Sales Growth 1

You can find detailed information here.

SAP Commodity Management, AI-supported goods work center

General availability

Commodity retailers can transform the way they capture and manage complex transactions using the Commodity Work Center in SAP Commodity Management. Together with Joule, the feature converts oral or written negotiations into detailed business drafts and automatically populates the numerous fields that usually require extensive manual entry. This allows traders to focus on better business results while improving the accuracy of data and increasing the operational efficiency of their trading activities.

12. Ai Assisted Commodity Work Center 1
Sap Business Ai For Measurable Sales Growth 2

You can find detailed information here.

SAP Intelligent Clinical Supply Management, AI-supported predictive subject dynamics

General availability

Clinical trial coordinators looking to improve their supply planning skills will find a powerful ally in SAP Intelligent Clinical Supply Management. The predictive subject dynamics feature analyzes historical and real-time data to predict trends and dropout rates of enrolled patients. This automatically generates insights that would otherwise require extensive manual analysis. This allows supply chain teams to shift their focus to strategic decisions while reducing the cost of clinical inventory waste by up to two percent and improving the accuracy of demand forecasting in their studies.

10. Ai Assisted Predictive Subject Dynamics 1
Sap Business Ai For Measurable Sales Growth 3

You can find detailed information here.

Joule with SAP Intelligent Clinical Supply Management

General availability

Clinical care professionals who juggle multiple tasks and complex systems need quick access to information without interrupting their workflow. Together with Joule, SAP Intelligent Clinical Supply Management provides an intuitive, conversational user interface that understands natural language queries, allowing users to retrieve critical data and effortlessly navigate to relevant applications. This streamlined user experience results in the time spent searching for information being reduced by 83 percent, allowing teams to focus on value-added activities and significantly increasing overall productivity.

11. Joule With Sap Intelligent Clinical Supply Management
Sap Business Ai For Measurable Sales Growth 4

You can find detailed information here.

SAP Self-Billing Cockpit, AI-supported document processing

General availability

Billing employees who manage billing workflows are faced with invoices in a variety of formats – Excel, PDF, CSV or text files – that are often unstructured and written in different languages. SAP Self-Billing Cockpit addresses this challenge by leveraging intelligent document processing to analyze and extract invoice data from virtually any format and convert it into structured payloads ready for automated invoicing. The result is significantly less time spent processing invoice items, fewer custom interfaces to create and maintain by integration specialists, and increased accuracy of extractions with minimal manual intervention.

You can find detailed information hier.

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Jonathan von Rüden is Chief AI Officer at SAP SE.

*Disclaimer: This article describes the expected benefits for companies. All calculations are estimates based on SAP customer case studies, SAP benchmarks and other research. Actual benefits may vary and may be affected by additional factors not considered in this article. The information is provided without warranty of any kind, either express or implied. SAP assumes no responsibility for any damages associated with the use of this article. On the side https://www.sap.com/legal-notice Please see “Legal Notice” for the terms of use, disclaimers, mandatory disclosures and restrictions applicable to this material.

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