SAP Business AI: Release Highlights Q3 2024

As a world leader in understanding of how businesses and organizations run around the globe​, SAP is continuing to rapidly deliver traditional and generative AI use cases that help people get work done faster and smarter.

Get all the latest news and coverage from SAP TechEd in 2024

Today, one quarter ahead of our road map, we offer more than 100 high-value generative AI capabilities that are ready to use out-of-the-box across SAP cloud applications.

From navigating regulatory challenges to addressing complex HR policy questions to generating comprehensive sustainability reports, SAP Business AI capabilities are driving real business value for our customers.

For example, a company with 2,000 employees can expect to improve its top line by up to 3.5%* and gain efficiencies for the company’s bottom line of up to 1.4%* by adopting available SAP Business AI features. These productivity gains are relevant for developers and business users alike, as well as for the entire C-suite and all lines of businesses — from the CFO to the chief human resources officer, chief procurement officer, and more.

And this only accounts for AI features that we released in the last 12 months.

AI innovations delivered in Q3 2024 include:

  • SAP S/4HANA Cloud Public Edition has a flurry of AI-assisted improvements, from smart summaries and filters to natural language explanations of asset depreciation as well as accelerating your financial close. In addition, Joule can now proactively detect and generate proposals for missing compliance configurations around U.S. internal tax. Joule is now also generally available in SAP S/4HANA Cloud Private Edition.
  • In supply chain, conversational search features in SAP Product Lifecycle Management, SAP Integrated Business Planning for supply chain, and SAP Asset Performance Management allow users to perform informal searches more efficiently and access information more easily. In SAP Field Service Management, the AI-assisted activity summary is now generally available. The AI-enabled visual inspection feature has been expanded to SAP Asset Performance Management.
  • In SAP Business Technology Platform (SAP BTP), a new AI capability in SAP Integration Suite lets developers automatically generate integration flows by simply describing the scenario, meaning designing time is three times faster*. SAP Build Code provides generative AI to help developers build applications up to 30%* quicker and reduce application development costs by up to 30%*.
  • Sustainability experts can now automate AI-enabled environmental, societal, and governance (ESG) reports, reducing the time needed to collect relevant ESG metrics manually from 30 minutes* to 30 seconds*, building on ESG or own report templates and using the data available in SAP Sustainability Control Tower.
  • SAP Signavio offers AI-assisted process recommender and AI-assisted performance indicator recommender features, which can provide preconfigured process models and quick recommendations on performance indicators. The new AI-assisted process analyzer capability allows users to ask questions in natural language and receive immediate insights, democratizing process mining and empowering non-technical users to conduct deep analysis.

While we’re incredibly excited about what we can offer customers today, there is so much more to come still this year and beyond. That said, we will increase our target of delivering more than 100 generative AI use cases by the end of 2024. We’re only accelerating the pace of innovation, so that across our entire range of solutions, customers can find SAP Business AI capabilities that offer businesses large-scale ROI benefits and, on an individual level, improve employees’ day-to-day work.  

Today at this year’s SAP TechEd, we are announcing multiple innovations that will revolutionize how we work and make businesses more agile and productive. With cutting-edge innovations to come, including collaborative agents and knowledge graphs, these benefits will become even more impactful and relevant for business users across industries and geographies. Of course, we’re doing all of this while ensuring that our SAP Business AI features are relevant, reliable, and responsible.

Read on for a detailed accounting of the new AI innovations we have released to customers in Q3 2024, and join us at SAP TechEd to learn more about what’s ahead.

Stay informed about the latest SAP Business AI news:

SAP Business AI in ERP & Finance

SAP S/4HANA Cloud Private Edition: Joule
General availability

Available since Q2, users have been able to directly navigate to business applications. Now, the integration of  SAP’s AI copilot Joule in SAP S/4HANA Cloud Private Edition allows for:

  • Conversational search, allowing users to perform informational searches up to 95%* faster with quick and seamless access to the relevant content from SAP Help Portal by asking Joule in natural language for the information they need.
  • Up to 95%* faster insights into relevant business objects for purchasing experts and shipping, without the need to navigate to the application that provides the insights. This includes, for example, purchase requisitions, sales orders, and more. 
Joule in SAP S/4HANA Cloud Private Edition

Get started here.

SAP S/4HANA Cloud Public Edition: AI-assisted smart summarization
Beta release

SAP S/4HANA Cloud Public Edition customers can now benefit from a much smoother SAP Fiori experience by using AI-assisted smart summarization jump-starts. This feature allows users to collaborate or follow up by extracting the essential information from the object pages of the SAP Fiori Elements application that they use. Users can expect more than five minutes* saved per summarization.

AI-assisted smart summarization in SAP S/4HANA Cloud Public Edition

Watch the demo and sign up to the beta program.

SAP S/4HANA Cloud Public Edition: AI-assisted easy filter
Beta release

The AI-assisted easy filter capability helps sales representatives select data of list report-based SAP Fiori applications in natural language instead of defining filter values manually. This streamlines the filtering experience to quickly get the required information.

AI-assisted easy filter in SAP S/4HANA Cloud Public Edition

Watch the demo and sign up to the beta program.

SAP S/4HANA Cloud Public Edition: AI-assisted explanation of fixed asset deprecation keys
Beta release

Asset accountants can use AI-assisted explanation of fixed asset deprecation keys to analyze asset values per deprecation area. The feature explains depreciation types and calculation procedures in natural language, increasing the accuracy of financial and tax statements. Users can save up to 60 hours*​ of onboarding efforts per country version and 0.5 days*​ for analyzing asset values during period closing times.

AI-assisted explanation of fixed asset deprecation keys in SAP S/4HANA Cloud Public Edition

Watch the demo and sign up to the beta program.

SAP S/4HANA Cloud Public Edition: AI-assisted configuration for U.S. tax jurisdictions
Beta release

Tax accountants can now simplify the process of maintaining U.S.-internal tax configuration with the help of Joule. The AI copilot proactively detects and generates proposals for missing compliance configurations. This ensures faster onboarding for businesses in the United States with less complexity and greater accuracy and reliability compliance with the Tax Authority website integration. Companies can expect a reduction of 50-90%* in effort to set up U.S. sales and use tax configuration.

AI-assisted configuration for U.S. tax jurisdictions in SAP S/4HANA Cloud Public Edition

Watch the demo and sign up to the beta program.

SAP S/4HANA Cloud Public Edition: AI-assisted financial business insights
Beta release

With the help of generative AI, employees in finance departments can analyze and summarize data from their cost center review booklet into actionable financial business insights. This empowers them with a complete picture, including root cause analyses, suggested rectifications, and written reports. It also increases efficiency by prioritizing workload, automating repetitive tasks, and recommending actions. Finance costs also get reduced via immediate visibility into critical KPIs, AI-generated reports, and instant sharing. With this feature, business users can expect to save up to 50% of their time per summarization of financial data in a review booklet and 2x accelerated decision-making.

AI-assisted financial business insights in SAP S/4HANA Cloud Public Edition

Watch the demo and sign up to the beta program.

SAP S/4HANA Cloud Public Edition: AI-assisted localized form template management, AI-assisted merging for payment formats
Beta release

We introduced two generative AI-assisted localization apps as part of the localization-as a-self-service for SAP S/4HANA Cloud Public Edition:

  • The Manage Localized Form Templates app allows application owners to extend localized forms, such as payment receipts, to meet their specific requirements. The feature reduces the time and cost for localized form template creation by up to 95%* compared to a manual mapping in a third-party tool.
Manage localized form templates in SAP S/4HANA Cloud Public Edition
  • With the Generative AI Merge for Payment Formats feature in the Payments app, business users can create customized payment formats using generative AI-generated mappings. This simplifies adapting payment formats to local standards, increasing accuracy and reducing by up to 60%* the time and cost to update payment formats compared to a manual review of the changes.
Create customized payment formats in SAP S/4HANA Cloud Public Edition

SAP Advanced Financial Closing: AI-assisted error resolution
Beta release

The AI-assisted error resolution feature helps controllers and accountants to understand the root causes of issues that arise during financial closing. It provides step-by-step guidance for fixing the error and the option to manually email the resolution to the expert in charge. By identifying errors and analyzing root causes faster, users can reduce efforts to investigate and remediate errors in automated closing tasks by up to 90%* (approximately two hours saved* per financial close), ensuring faster financial closing and lower support and compliance costs.

AI-assisted error resolution in SAP Advanced Financial Closing

Watch the demo, sign up to the beta program, and read the product documentation.

SAP Signavio: AI-assisted process recommender and AI-assisted performance indicator recommender
General availability

Business process consultants can now benefit from new generative AI-powered capabilities in SAP Signavio.

The AI-assisted process recommender capability helps to obtain preconfigured process models based on a database of more than 5,000 best practices from SAP, allowing process experts to move fast from initial exploration to process design and reducing the effort needed for a first process draft to start the process modeling. This reduces the time invested from business process consultants by up to 30%*, and the costs of designing a new process or redesigning an existing one can be reduced by 30%*.

AI-assisted process recommender in SAP Signavio

The AI-assisted performance indicator recommender feature helps users obtain quick recommendations on process performance indicators (PPIs) relevant to their business processes and problems. This allows users to solve problems through a measurement approach based on a repository of thousands of KPIs and PPIs. The time and cost of refining process performance indicators can be reduced by up to 20%*.

AI-assisted performance indicator recommender in SAP Signavio

SAP Signavio: AI-assisted process analyzer (text-to-insights)
Beta release

With the new AI-assisted process analyzer capability, users can ask questions in natural language and receive immediate insights that can accelerate business decisions by up to 50%*. It democratizes process mining and empowers non-technical users to conduct a deep analysis and obtain valuable knowledge.

AI-assisted process analyzer (text-to-insights) in SAP Signavio

Get started here.


SAP Business AI in IT & Platform

SAP Integration Suite: Generation of integrations
General availability

Developers can now automatically generate integration flows in SAP Integration Suite. Users only need to describe the integration scenario and the tool will then create an integration flow with pre-configured connectors based on their description and inputs. This helps to quickly integrate processes, services, applications, events, and data across heterogeneous system landscapes and enhance productivity.

With over 3,600 prebuilt integration flows, users can reduce the time needed for designing the integration by a factor of three*, resulting in cost savings with improved quality, as well as reduced implementation effort.

Generate integration flows in SAP Integration Suite

Get started here.

SAP Build Code: Support SAP S/4HANA Cloud service integration for data model and app logic
General availability

SAP Build Code, SAP’s generative AI-based code development solution, allows developers to build applications up to 30% faster. This can reduce application development costs by up to 30%*. The integration of Joule, optimized for Java and JavaScript application development, provides a turnkey environment for coding, testing, integrations, and application lifecycle management.

Starting in Q3, Joule will help developers to generate code for integrated SAP S/4HANA Cloud services. This is started by creating a full-stack application, importing an external SAP S/4HANA Cloud service, and defining the data model and services with Joule.

Create data model and services with Joule in SAP Build Code

In addition, developers can use Joule to enhance the data model they created before by adding associations between the external SAP S/4HANA Cloud entity and local entities, and exposing the external entity to a local service via a projection afterward.

Use Joule in SAP Build Code to add an association between the entity Books and the external entity

Joule also supports custom logic generation for reading the associated external entity and to perform further operations on the exposed external entity.

Use Joule in SAP Build Code to add a custom logic reading data from the external entity

Get started here.

SAP HANA Cloud: Generate SAP HANA SQL statements with the SQL console for SAP HANA
General availability

SAP HANA database application developers can use the new conversational SQL console in SAP Business Application Studio to generate SAP HANA SQL statements. The statements are based on the requirements specified in a special natural language prompt, which can be run directly in the SQL console. The resulting statement includes the correct SAP HANA syntax.

Note: To use the ‘Run Prompt’ option, you must have a subscription to SAP Build Code, the AI-powered cloud development environment based on SAP Business Application Studio.

The new console helps increase developer productivity by up to 20%*, reducing the SQL learning curve and enabling efficient data retrieval with natural language.

Generate SAP HANA SQL statements with the SQL Console for SAP HANA

For more details, look at the product documentation.

Document Information Extraction service: Product enhancements
General availability

Available on SAP BTP, the Document Information Extraction service helps businesses automate and scale their document processing use case end-to-end in more than 40 languages with easy extensions for any kind of document.

This upgrade includes three significant enhancements designed to streamline your document processing:

Instant learning: The premium edition of Document Information Extraction now features an instant learning capability. This allows for immediate improvements in accuracy as the service learns dynamically from user feedback. Just a few corrections from the user enable the system to adapt and enhance its performance, making document processing more precise than ever.

Enhanced document classification: With the new field type “list of value,” users can specify their own classification classes or categories; for example, to distinguish a supplier invoice from a payment advice. By providing a list of classification values when setting up a schema, they can tailor the service to automatically determine the type of incoming document according to their business processes. This results in more organized document handling, enabling faster and more accurate document processing.

Enhanced document classification capability in the Document Information Extraction service

Expanded availability on Microsoft Azure: To meet the growing global demand, the availability of the service has been extended to additional Microsoft Azure regions: Netherlands (Amsterdam) and U.S. East (Virginia). The service now incorporates:

  • Extended schema description, to get the most out of generative AI for document processing
  • New file types and improved performance, to get support for key Microsoft Office formats, including MS Excel and MS Word
  • Schema import and export to easily share schemas across different projects or environments, enhancing consistency and saving valuable setup time

Get started with these new features.

Generative AI Hub in SAP AI Core and SAP AI Launchpad: Product enhancements
General availability

The generative AI hub in SAP AI Core and SAP AI Launchpad enables developers to access market-leading large language models (LLMs) in a governed environment, run AI models securely and cost-effectively, and maximize value creation from generative AI use cases for SAP applications.

Developers can save up to 60%* of their time spent onboarding and running AI models securely and realize higher value for new generative AI use cases through better grounding for increased relevance of the outcomes, resulting in faster user adoption. 

In the last quarter, we introduced two key enhancements:

  • A new modular and intuitive orchestration builder helps create sophisticated, AI-driven applications by customizing pre-trained AI models for specific business use purposes through a guided process in the generative AI hub
  • A simplified integration and customization process lets developers deliver innovations faster and more precisely, enabling more relevant and effective AI-driven solutions for better business outcomes

This feature also comes with a data masking and anonymization function for personal and sensitive data in prompts and LLM responses to enhance data privacy and compliance with data protection regulations.

Data masking and anonymization in the generative AI hub

A new JavaScript software development kit (SDK) helps integrate advanced AI capabilities into web applications. This user-friendly toolkit makes it easier to embed intelligent features such as chatbots and content generators, speeding up development and giving users more context-aware and relevant AI-generated content.

Finally, additional models from providers such as Google Cloud Platform, Meta, and OpenAI have been added to generative AI hub, and new data centers on Google Cloud Platform and Microsoft Azure are available in Europe and in the United States.

Get started with generative AI hub in SAP AI Core and generative AI hub in SAP AI Launchpad.


SAP Business AI in Sales, Services, Marketing and Commerce

SAP CX AI Toolkit: Product enhancements
General availability

SAP CX AI Toolkit provides a comprehensive, configurable AI solution for e-commerce, marketing, sales, and service teams. It helps streamline content creation tasks and analyze data from across the enterprise. Many new AI-enabled tools are now integrated into the solution.

AI-supported image generation enables e-commerce teams to generate new product images or edit existing ones in the SAP Commerce Cloud catalog. It reduces the time spent on image customization by up to 50%* and increases the number of product-specific campaigns by up to 30%*. With this feature, e-commerce teams can also boost engagement with eye-catching, on-brand visuals tailored to commerce catalogs and effortlessly remove backgrounds or place products on solid-color backdrops.

Generate product images in SAP CX AI Toolkit

Intelligent Q&A support for service tickets and cases generates answers to business questions by finding and compiling the content of cases in SAP Service Cloud and tickets from SAP Cloud for Customers as sources for answers, saving time searching through thousands of records. Services teams can also integrate custom data sources and improve the answers provided by their unique company data.

Customize data sources for the intelligent Q&A feature in SAP CX AI Toolkit

Check out the release notes for a complete overview of the innovations and get started with the product documentation.


SAP Business AI in Industries

SAP Intelligent Agriculture: Farming intelligence – create and process farming recommendations
General availability

SAP Intelligent Agriculture now enables agribusinesses to create and process recommendations on when, where, and how to conduct farming activities, hence sustainably increasing farming efficiency and helping them thrive. These recommendations can either be created through an API for data science models or created in the solution UI directly.

Create and process executable farming recommendations in SAP Intelligent Agriculture

Get started here.


SAP Business AI in Procurement

SAP Business Network: Intelligent invoice error classification
SAP Early Adopter Care

The invoice error classification feature helps suppliers process rejected invoices for payment in SAP Business Network and reprocess invoices accurately to address initial invoice submission errors after categorizing them into appropriate rejection categories. Suppliers can expect to reduce invoice re-processing time by up to 40%* and reduce days sales outstanding impacted by rejected invoices by up to 10%*.

Invoice error message categorization in SAP Business Network

Get started here.

SAP Concur: Chart of accounts mapping for product connectors
General availability

In Concur Expense, users can now access an AI-generated chart of accounts mapping for product connectors, such as QuickBooks or Xero, and decrease the setup time and effort of expense-type administration activities, including, for example, expense type creation and account code mapping.

AI-powered chart of accounts mapping for product connectors in SAP Concur

Get started here.


SAP Business AI in Supply Chain

SAP Product Lifecycle Management: Joule
General availability

SAP Integrated Business Planning for supply chain & SAP Asset Performance Management: Joule
SAP Early Adopter Care

The conversational search feature within Joule is now supported in SAP digital supply chain solutions, providing smooth and contextual access to SAP Help Portal content and summarizing it in a clear answer to the question. Users can perform informal searches up to 95%* because they do not need to browse through a long search result list or read through several documents to find the correct information.

Watch this short demo of Joule in SAP Integrated Business Planning for supply chain:

5 Considerations for Your Group Reporting Journey with SAP S/4HANA

Embarking on a group reporting journey with SAP S/4HANA requires thoughtful planning and alignment with your organization’s overall reporting goals.

SAP Datasphere Top Features in September – Find What’s New

Learn about the feature highlights in September 2024 with SAP Datasphere!

We delivered two nice releases this month, so let’s check out my top features:
1. Cloud object stores as sources in replication flows
2. Remove persisted data in task chains
3. Scheduling mass deletion of filtered records from local tables
4. Analytic Model: define order of variables
5. Changing space language for metadata translation

Key Moments:
00:16 Cloud object stores as sources in replication flows
00:57 Remove persisted data in task chains
01:17 Scheduling mass deletion of filtered records from local tables
01:48 Analytic Model: define order of variables
02:10 Changing space language for metadata translation

To learn more about SAP Datasphere, visit: https://sap.to/6050olsxe
Join our SAP Datasphere community to always stay up to date: https://sap.to/6052olsxg
Check out our product roadmap for SAP Datasphere: https://sap.to/6053olsx9
#sapdatasphare #cloud #sap

How the Newly Updated SAP AI Ethics Handbook Helps Create Ethical AI at SAP

The latest version of the SAP AI Ethics Handbook is the one-stop shop for applying the SAP Global AI Ethics policy and creating ethical AI solutions that support our commitment to deliver relevant, reliable, and responsible AI.

The updated handbook now contains information about generative and other types of AI and how to apply SAP’s updated ethical AI guiding principles. Here is a brief introduction to the handbook and how you can use it to apply SAP’s AI ethics policy to your work.

SAP’s Guiding Principles on AI Ethics

Principles 1-7 are applicable for teams involved in creating AI systems; principles 8-10 are for governance requirements.

  1. Proportionality and Do Not Harm
  2. Safety and Security
  3. Fairness and Non-Discrimination
  4. Sustainability
  5. Right to Privacy and Data Protection
  6. Human Oversight and Determination
  7. Transparency and Explainability
  8. Responsibility and Accountability
  9. Awareness and Literacy
  10. Multistakeholder and Adaptive Governance and Collaboration

Who Is the Target Audience for This Handbook?

In a nutshell – everyone developing and implementing AI.

This handbook is for everyone who wants to give users confidence in the SAP AI ethics processes and confidence that humans are at the core of SAP’s AI processes. In short, it’s for everyone who wants help create a human-centered AI culture. Specifically, principles 1-7 apply to teams creating AI solutions, while principles 8-10 apply to governance teams.

The handbook explains how human-centered AI is achieved with tools like user research, design thinking, and user stories. These tools help create products that are closely aligned to the needs of SAP’s target groups, increasing benefits and mitigating the risk of unintended harm in SAP AI use cases.

What Is an AI Use Case at SAP?

An AI use case means that the AI system is built either on symbolic AI, traditional/narrow AI, or generative AI. This handbook is applicable to all three types of AI use cases.

How Do You Determine an AI Use Case?

In the handbook, there is an ideation checklist that guides you through the process to determine the type of use case – red line, high-risk, or standard. The handbook also has detailed checklists for validation, realization, productization, and operation.

What Is a Red Line Use Case?

Red line cases are AI use cases that are prohibited because they undermine personal freedom, undermine society, and/or cause intentional damage to the environment.

What Is High-Risk Use Case?

An AI use case that meets one of the high-risk criteria listed below is a high-risk use case:

  • Personal data is processed.
  • Sensitive personal data is processed.
  • It could negatively affect the well-being of individuals or groups, such as social, safety, financial, and/or physical harm.
  • It has automated decision-making.
  • It is a high-risk sector, like HR, healthcare, law enforcement, or democratic processes.

What Happens with High-Risk Use Cases?

The use case classification is checked by the SAP Global AI Ethics organization. If the organization agrees that the high-risk classification is correct, the SAP Global AI Ethics steering committee will review the case and recommend what, if any, further action needs to be taken.

Additional Information

Information about AI ethics is available at:

Guiding Principles That Resonate

Hear what guiding principles resonate the most with some of our in-house AI ethics experts:

“The guiding principle Safety and Security resonates with me because it covers everything that we need to take care of: AI security to ensure our systems are robust and work as designed and AI safety for protecting individuals, society, and the environment from harm done by AI systems. The guiding principle Transparency and Explainability resonates with me because it describes critical prerequisites to ensure human oversight – for humans on the loop like technical experts as well as humans in the loop such as business experts. Additionally, my cognitive scientist self is intrigued by the challenge to make AI output understandable for humans.”

– Bettina Laugwitz, Director, AI Ethics & Responsible AI

“The guiding principle Fairness and Non-Discrimination resonates with me because I believe this is currently the biggest gap in the development of AI and the reason why AI has the potential to harm human rights. Many AI scandals to date have been violations of this principle, including discrimination against women in finances and HR, to name but a few. AI cannot grow without the co-creation of, for example, minorities, the Global South, and women. The guiding principle Sustainability may be my biggest concern about AI, but it is also our biggest innovation possibility. Indigenous rights, co-creation, protection, and understanding how to protect fragile ecosystems parallel to the exploration and development of AI is crucial. SAP has the potential to explore how to become ‘green’ on this topic. This principle should be a priority for designing for future generations.”

– Camila Lombana Diaz, AI Ethics Expert and Researcher

“I am convinced the guiding principle Responsibility and Accountability gets to the heart of something very important: no matter how human AI appears to us, it cannot and should not be held morally accountable for its actions. AI is built and used by humans – and therefore responsibility and liability for all decisions and actions taken by AI must be assigned to human actors in order to ensure effective protection for those affected by AI. The guiding principle Fairness and Non-Discrimination in the development of AI makes a significant contribution to protecting human rights; it is difficult, however, to standardize processes to ensure fairness and many case-by-case decisions need to be made, which can be a challenge for those developing AI. Nevertheless, compliance with this principle is non-negotiable, which is why I am committed to supporting developers building fair AI.”

– Saskia Welsch, AI Ethics and Responsible AI Team Member

Alexa MacDonald is a senior editor for SAP News.

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Embracing Chaos: The Future of ERP is Anti-Fragile

#clouderp #sapcloud
💫Join Paul and Phil as they explore the latest innovations in ERP, with a focus on SAP’s role in driving the future of business technology.
🚀They’ll discuss the integration of AI, machine learning, and IoT into ERP systems and how these technologies can transform business operations, improve decision-making, and foster a culture of continuous improvement. You are invited to submit questions for a live Q&A with the speakers.

SAP’s Partnership with ChannelEngine, the Leader in Marketplace Integration

When it comes to customer experience (CX), brands must invest in an end-to-end, industry-specific platform that is informed by data. These deep connections enable business AI to come to life and ensure the agility and flexibility to innovate based on consumer demand and market needs.

That is why SAP is always developing new partnerships and integrations to continue providing value to CX customers. 

CRM and CX from SAP: Deploy industry-tailored solutions that are connected, insightful, and adaptive

The integration between SAP Order Management Services and ChannelEngine, a global leader in marketplace integration and management software, is the next step in this journey.

By leveraging SAP Order Management Services, a central hub for unified customer transactions, and incorporating AI-enhanced integrations, ChannelEngine is enabling merchants to augment the order and inventory management process for third-party marketplace selling. This enables merchants to automate and optimize third-party marketplace operations, increasing their revenue and profitability. 

What does this mean for SAP customers?

“Our direct integration allows SAP Order Management Services users to seamlessly activate over 950 new sales channels and reach international markets,” said Jorrit Steinz, CEO of ChannelEngine. “By incorporating AI-driven automation into our platform, we’ve taken a pivotal step toward simplifying global unified e-commerce. This collaboration enables merchants to harness the immense potential of third-party online marketplaces, driving efficiency and scaling opportunities while capitalizing on the built-in trust and vast customer base of these platforms.” 

By having a centralized view of e-commerce operations across first- and third-party channels through reporting, analytics, and insights into sales performance and marketplace KPIs, merchants can target consumers with precision and drive customer loyalty. Additionally, this integration enables merchants to streamline their e-commerce operations, accelerate time-to-market, and participate in a broader range of marketplaces. 

Analysts also understand this need to align inventory management and marketplace connectivity due to an increasingly fragmented e-commerce environment.

“The fusion of order management technology with third-party marketplace integration solutions marks a strategic move for enterprises seeking to optimize operational efficiency and expand their market presence,” explained Heather Hershey, Research Director for IDC. “This approach enables businesses to manage complex sales channels while leveraging the advantages of AI-driven insights to better meet customer demands.” 

The ChannelEngine marketplace integration platform is now available on SAP Store, the online marketplace for SAP and partner offerings.


Ritu Bhargava is president and chief product Officer of SAP CX and Industries.

SAP CX LIVE: Watch customer spotlight sessions, product demos, and product direction videos on demand

Master SAP Learning: Stay Updated with New Products and Skills

Build new skills with the SAP Learning site and take your career to the next level. Start your learning journey today and discover endless possibilities for growth and success: https://sap.to/6050WX86i
Discover how to stay ahead in the SAP ecosystem with continuous upskilling. Learn from a digital enthusiast about the benefits of SAP’s innovative Learning Journeys and resources. Enhance your skills, solve customer problems, and achieve outstanding results with SAP Learning. Join us as we explore the SAP Learning site for the latest products and Learning Journeys. Discover how continuous upskilling with SAP’s resources can help you solve customer problems and achieve outstanding results. #SAPLearning #Upskilling #TechSkills

FC Bayern Scores Big with SAP

With fans and employees around the world, going digital with SAP was a no-brainer for FC Bayern – one of the “beautiful game’s” biggest and most successful football clubs.

­­­“We are a local club in Bavaria, but have fans around the globe,” says Stefan Meri, the club’s director for digital media and communications. In addition to its 1,200 employees in Munich, New York, Shanghai, and Bangkok, the club has around 175 million followers on its social media and its own media platforms.

Meri says the club’s digital and media platforms are very important because fans expect to be able to interact with their club wherever they are. “They want to send us their feedback and they want to receive feedback.”

SAP Receives 2024 ASP Best Support Websites Award for Digital Customer Support Experience

SAP’s digital customer support experience is ahead of the competition. For the second time since 2018, SAP received external confirmation of this, with SAP for Me winning the Best Support Websites Award from the Association of Support Professionals (ASP). With many innovations and AI-driven services, it is a great proof point for SAP’s consistent path towards assisting customers to get the maximum business value from their SAP solutions.

ASP is an international membership organization for customer support managers and professionals and has held this title for over 20 years. SAP’s Customer Support & Cloud Lifecycle Management team and Corporate Processes & Information Technology (CPIT) teams are proud to get this honor for the second time, building on the 2018 ASP award win for the SAP Support Portal.

This year’s evaluation criteria covered site user experience, content offering, content engagement and interaction, site improvement process, and site measurement process. Created to become a unified meeting point for information about administrative, commercial, and technical SAP solutions, SAP for Me implemented new features that focus on self-service and AI-enhanced search. The ASP award demonstrates the team effort to deliver these improvements for functional dashboards, user-friendly navigation, and an integrated portal for post-sale customer communication.

Four Questions to the Experts

Dr. Benjamin Blau, chief process & information officer and head of Corporate Processes & Information Technology, and Stefan Steinle, EVP and head of Customer Support, answered some questions related to the ASP award.

Q: What role did Corporate Processes & Information Technology play in achieving this award?

Explore services and support offerings on SAP for Me

Blau: Let me start by giving a shout-out to our Corporate Processes & Information Technology teams for all their hard work in developing the amazing platform, SAP for Me. By leveraging SAP’s own technology stack, we were able to enable seamless integration, high performance, and scalability. Through the fantastic collaborative effort between our IT and process teams and support functions, we were able to create a personalized and user-friendly experience that the judges recognized as industry leading. I am proud of what we were able to achieve together.

Q: The award is a great proof point in delighting customers. What do customers find most useful when seeking support from SAP and what role does AI play in it?

Steinle: This award reconfirms the direction SAP support is heading and our customers’ needs are the driving force behind. Customers value how predictive support, efficient self-service, and real-time channels can reduce the effort of resolving software issues. AI plays an important role in this. With the SAP for Me site’s AI-powered self-service capabilities and search tools, we can provide efficient and personalized support. Customers can get targeted and relevant results that consider the user and product context. Moreover, AI also helps categorize issues, identify and recommend the best suited solutions through Incident Solution Matching, and find the most appropriate interaction channel.

Q: How do you see the future of SAP for Me evolving, and what role will SAP’s technology play in its continued success?

Blau: The future of SAP for Me is incredibly bright! We’re thrilled about our plans to enhance key areas like contracts and billing, system management, reporting, and support. We’re also going to dive into emerging SAP technologies such as AI-driven insights, machine learning, and predictive analytics to personalize and optimize the customer experience. Our goal is to help customers anticipate their needs, automate routine tasks, and gain greater insight into their SAP landscape. By staying ahead in technology, we’re not just maintaining our leadership in customer support but also setting new industry benchmarks. We’re excited to continue improving and evolving to better serve our customers.

Q: The customer support experience is constantly being innovated. What can customers look forward to from SAP support?

Steinle: To start, it would be evolving and growing personalization. We’re dedicated to strengthening predictive and preventative support, proactively identifying and anticipating potential issues. Customers can also expect our continued focus on bi-directional support, including real-time assistance. We’ll continue to optimize our real-time support channels to help further reduce our customers’ effort to resolve software issues. We’ll significantly increase the use of AI, particularly generative AI, to analyze and classify reported issues, enhance search results, and improve recommendations. We actively listen to customer feedback and continuously improve usability, supportability, and product quality. This helps ensure a smooth and effortless experience.

More Information

The constant innovations and leveraging AI for a further improved customer support experience and this recognition reconfirm SAP’s continued focus to bring out the best in every business. SAP for Me is one of the three key access points for customers, together with SAP.com and SAP Community. Read more about SAP for Me and support from SAP.

Follow Dr. Benjamin Blau and Stefan Steinle and on LinkedIn.


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