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:

SAP Training Programs by K2 University Expand to North America

The educational division of K2 Partnering Solutions, K2 University, has extended its official SAP training programs to the United States and Canada in response to the growing demand for SAP skills with a cloud focus. As technology advances, companies seek workers with specific knowledge of SAP solutions, cloud computing, and artificial intelligence. The structured approach […]

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SAP Build Work Zone Drives Employee Learning at Laing O’Rourke

With the SAP Build Work Zone technology, Laing O’Rourke has transformed its employee learning program and improved the professional growth of over 5,500 global workers in the engineering and construction industries. Laing O’Rourke has launched LOR Learn, a platform that is powered by SAP Build Work Zone. This is a part of their strategic plan […]

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Zespri Enhances SAP S/4HANA Digital Core for Transformation

Zespri, the largest kiwifruit marketer globally, has moved to the next stage of its digital transformation journey by upgrading its SAP S/4HANA digital core as part of its ongoing Horizon transformation program. Zespri’s partnership with SAP has been pivotal in enhancing the company’s operational efficiency and sustainability. The collaboration began in 2021 when Zespri initially […]

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SAP

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SAP Order Management Services Integrate with ChannelEngine

The integration of ChannelEngine with SAP Order Management Services (OMS) highlights how businesses can leverage advanced solutions to optimize their eCommerce operations across a vast array of marketplaces. SAP Order Management is an integral component of SAP’s business applications, streamlining the entire order-to-cash process by centralizing order handling across multiple channels. This system allows organizations […]

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Continued Growth and Innovation Distinguishes SAP as a Leader in 2024 Fosway 9-Grid™ for Cloud HR

SAP has once again been named a Strategic Leader in the 2024 Fosway 9-Grid™ for Cloud HR. The report provides a multi-dimensional model to help organizations compare and choose the best cloud HR and learning tech provider in the European market to meet their business needs.

Vendors named Strategic Leaders have strong market performance and customer advocacy, provide a rich suite of capability across a broad scope of features, and have the sophistication to meet the needs of complex enterprise-scale customers.   

“Optimizing people processes at scale is more critical than ever for a modern business. Skills, employee experience, and talent agility all represent significant challenges for HR, and now AI is redefining how HR works and enables them. With its continued innovation, as well as global reach and market presence, SAP continues to maintain its position as a Strategic Leader in the 2024 Fosway 9-Grid™ for Cloud HR.”

David Wilson, founder and CEO, Fosway Group

Learn more: 2024 Fosway 9-Grid for Cloud HR

This recognition reflects SAP’s commitment to continuous innovation for our customers of all sizes. As change and innovation surge across industries, organizations today face a myriad of HR-related challenges, such as growing skill gaps and talent shortages, changing regulations and compliance risks, evolving employee expectations, and more.

SAP is helping customers stay ahead of the curve and address these challenges head-on by leveraging AI to drive organizational agility at scale and lead with an employee-first mindset.   

The SAP SuccessFactors HCM suite provides global HR cloud software with powerful AI capabilities to help organizations meet the business demands of today and innovate for tomorrow. More than 10,000 customers worldwide — from startups and midmarket companies to large enterprises — use our solutions to elevate every experience, guide every people decision, and connect HR across every aspect of the business.

Customers like Helvetia, STADA, and Gestamp Servicios S.A. are leveraging SAP SuccessFactors solutions to drive their HR transformations and are realizing the value of SAP solutions across their workforces and organizations.  

Helvetia

With more than 12,000 employees across six countries, talent management posed a challenge for Helvetia. By replacing disparate systems with a single HR portal based on SAP SuccessFactors solutions, the company is increasing transparency, boosting efficiency, and improving the employee experience.

“With unified, digital HR processes in place, we’re transforming the way we engage with our people, delivering an experience that meets their needs and expectations,” said Jochen Hübner, head of HR Operations, Helvetia Switzerland. 

STADA

STADA recognized that it needed to transform to a more centralized operating structure. Putting its people at the heart of this transformation, the company decided to prioritize the implementation of a new global HR system built on SAP SuccessFactors solutions. The global implementation of SAP SuccessFactors began delivering value for STADA almost immediately. Within four months of the introduction of SAP SuccessFactors Employee Central in 45 countries and 16 languages, STADA’s leadership team already regarded it as a vital decision-making tool.

“Our standard report on employee numbers versus our staffing plans comes directly from Employee Central,” said Dr. Thomas Mattes, head of Global Culture & People Analytics and Digital Experience, STADA. “Those numbers drive our business decisions because we know they are correct.” 

Gestamp Servicios S.A.

By replacing 200 HR systems with SAP SuccessFactors software, Gestamp’s entire business, not just HR, has access to one global system of record for employee data. Management can quickly consult more-detailed organizational charts and gain a comprehensive view of employees’ locations, skills, and performance.

“SAP SuccessFactors Employee Central is the heart of talent management at Gestamp,” shared María José de Francisco, HRIS Manager, Gestamp. “Having one source of core employee data lets us unleash the capabilities of our talent solutions to help our people thrive.” 

Looking ahead, we are continuing to invest in critical areas like AI, skills, learning and talent development, and core HR and payroll to help customers solve some of their biggest challenges and stay at the forefront of their industries.

We look forward to announcing more exciting innovations across the SAP SuccessFactors HCM suite at SuccessConnect, being held in Lisbon and virtually October 28-30, 2024.


Lara Albert is global vice president of Product Marketing for SAP SuccessFactors at SAP.

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SAP CX LIVE in 2024: AI-Driven Success with SAP

Since last year’s SAP Customer Experience LIVE event, we’ve introduced over 600 features, driving AI innovation and long-lasting success for our customers. At this year’s event, our customers shared their AI and CX success stories, showcasing how they’re winning customer loyalty in today’s competitive market.

While we have more exciting innovations to share, we’ve dedicated this event to celebrating our customers’ achievements.

AI Meets CX: Personalized, Engaging Experiences

In a fast-paced market, delivering the right message at the right time is crucial. When AI meets CX, businesses can create personalized, engaging experiences at every touchpoint. But these seamless experiences require a blend of people, processes, and technology, supported by integrated data.

Intelligent Customer Journeys with Business AI

At SAP CX LIVE in 2024, Christian Klein, CEO and member of the Executive Board of SAP SE, emphasized the transformation of customer experience through business AI, moving from reactive to proactive engagement and AI-driven insights. Companies like the San Jose Sharks are leveraging AI to drive personalized experiences and exceptional customer value.

San Jose Sharks: MVP Experiences

The San Jose Sharks are embracing digitalization and AI to create MVP experiences throughout the customer journey. By integrating vast amounts of data from various sources such as hockey games, concerts, food, and merchandising, they form a holistic view of their customers. The Sharks’ use of SAP CX solutions, including SAP Emarsys Customer Engagement, SAP Sales Cloud, SAP CX AI Toolkit, SAP Customer Data Platform, and SAP Customer Data Cloud, significantly enhanced customer engagement. This strategic approach led to impressive results, with season membership renewal rates increasing to 87% and open rates soaring from 26% to 80%.

Online Metals: AI as a Game Changer

Greg Raece, president of Online Metals, believes that AI will revolutionize the company’s sales approach. With a diverse customer base ranging from hobbyists to Fortune 500 companies, Online Metals is constantly evolving to meet emerging trends and ensure customers receive the right materials quickly and hassle-free. Raece firmly believes that AI will change the way Online Metals sells to customers. To better engage customers and enhance its online merchandising and sales strategies, Online Metals has joined forces with SAP. Using SAP Commerce Cloud and SAP Emarsys Customer Enagement, it successfully increased conversions, average order value, and website traffic.

The Pillars of Intelligent CX

SAP prioritizes responsible innovation, especially in handling customer data and interactions. Our AI solutions are built on trust, privacy, ethics, and security, helping to ensure businesses can confidently leverage these tools to their full potential. These are the four key pillars of intelligent CX:

  • Connected: Seamlessly unite operational and experience data to deliver delightful experiences across the back and front office while safeguarding your TCO. 
  • Insightful: Turn data into proactive and contextual insights that drive real business outcomes with meaningful generative AI capabilities. 
  • Adaptive: Experiment with agility using our hybrid composability approach and extend SAP’s core capabilities with pre-integrated, certified partner solutions. 
  • Industry-Tailored: Apply deep industry context and knowledge coupled with our rich partner ecosystem to tailor SAP CX solutions to your industry’s unique needs. 

Unleash Potential with a Harmonized Suite

Captivating customer experiences require visibility into the back office, front office, and everywhere in between. Companies like Universal Destinations & Experiences benefit from the seamless integration of SAP CX solutions with existing ERP systems, helping to enhance overall customer experience.

Universal Destinations & Experiences: Omnichannel Excellence

For Universal Destinations & Experiences, making people happy is priority number one.
When planning its new resort in Beijing, China, Universal wanted to focus on the full guest journey – before, during, and after their visit. It needed a scalable platform with true omnichannel capabilities to support its diverse business, including theme parks, food, and retail. By leveraging SAP S/4HANA with SAP Commerce Cloud, Universal is creating a seamless and immersive experience for millions of guests, allowing them to live out their movie dreams.

Nokia: Elevating Wireless Technology

Nokia, once known for its iconic phones, now leads in telecommunications innovation and is partnering with NASA to further advance wireless technology. To ensure efficiency and accuracy in delivering complex solutions, Nokia digitized its order management processes. By integrating SAP S/4HANA with SAP Commerce Cloud and SAP Order Management Services, Nokia achieved faster deliveries, precise invoicing, and seamless billing, securing a competitive edge and driving ongoing success.

MACO Group: Efficient Sales Transformation

With thousands of global customers and 25,000 products associated with 40,000 components, door and window seller MACO Group has a wealth of data. The construction industry has been disrupted by global events, prompting MACO to digitize its operations for more efficient and effective sales. MACO’s transformation involved combining its SAP S/4HANA and CRM capabilities with SAP Sales Cloud, enabling it to move faster and with greater accuracy.

As of July 15, new customers can get 15 licenses to accelerate sales processes and drive growth with AI-driven CX

New Strategic Partnerships

SAP CX solutions continue to help add value and bring business AI to life through innovative collaboration and integration. At SAP CX LIVE in 2024, we announced two new partnerships with Gainsight and ChannelEngine.

By integrating SAP Sales Cloud with Gainsight, companies can unify data and intelligence for a comprehensive customer view and a seamless journey. With human-first AI capabilities, automation, and standardized workflows, Gainsight and SAP customers can dedicate more time to clients and less to administrative tasks. Learn more.

The integration between ChannelEngine and SAP Order Management Services can enable merchants to increase revenue and profitability by automating and optimizing third-party marketplace operations. SAP users can now effortlessly activate over 950 new sales channels and expand into global markets. Learn more.

A Future-Ready CX with SAP

SAP customers are rapidly leveraging AI-powered solutions to create superior customer experiences, improve operational efficiency, and drive business growth. By integrating SAP into their operations, they are driving innovation and achieving measurable success. 

Our approach is simple yet powerful: connected, insightful, adaptive, and industry-tailored. By prioritizing responsible innovation, especially in handling customer data and interactions, we can ensure our AI solutions are built on trust, privacy, ethics, and security. I’m proud that SAP is integral to our customers’ achievements, and the SAP CX team remains committed to delivering products and features that drive outcomes and delightful customer experiences.

I invite you to view the full SAP CX LIVE in 2024 event and stay tuned for more innovations.


Ritu Bhargava is president and chief product officer for SAP Industries and Customer Experience.

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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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