List of SAP Business AI Customers
SAP
Dietmar-Hopp-Allee 16,
Walldorf, 69190,
Germany
Walldorf, 69190,
Germany
49 6 2277-47474
Professional Services
110650
$42.3B
Since 2010, our global team of researchers has been studying SAP Business AI customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased SAP Business AI for Generative AI Platforms from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using SAP Business AI for Generative AI Platforms include: Alibaba, a China based Professional Services organisation with 124320 employees and revenues of $137.30 billion, Delta Air Lines, a United States based Transportation organisation with 103000 employees and revenues of $61.64 billion, Lotte Chemical, a South Korea based Oil, Gas and Chemicals organisation with 4478 employees and revenues of $14.11 billion, BRF Global, a Brazil based Consumer Packaged Goods organisation with 100000 employees and revenues of $10.73 billion, Xerox Holdings, a United States based Professional Services organisation with 26300 employees and revenues of $6.22 billion and many others.
Contact us if you need a completed and verified list of companies using SAP Business AI, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The SAP Business AI customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Acron Aviation | Aerospace and Defense | 1450 | $525M | United States | SAP | SAP Business AI | Generative AI Platforms | 2025 | n/a |
In 2025, Acron Aviation implemented SAP Business AI as part of a coordinated SAP suite adoption, pairing the application with SAP Business Data Cloud and SAP Cloud ERP Private to enhance enterprise process automation. The deployment is categorized under Generative AI Platforms and was positioned to introduce AI agent capabilities across core business workflows.
SAP Business AI was configured to deliver generative agent workflows, natural language driven analytics, and model orchestration capabilities consistent with Generative AI Platforms. Configuration work focused on prompt engineering, access control, and runtime governance to enable automated handling of complex tasks and to provide contextual decision support powered by the SAP Business AI models.
Integration architecture centers on SAP Business Data Cloud as the consolidated data layer, integrating both SAP and non SAP data sources to feed SAP Business AI with unified enterprise context. Connections to SAP Cloud ERP Private supply transactional and master data for automation and contextualization, enabling SAP Business AI to operate across enterprise processes with a single data substrate.
Governance and rollout emphasized data governance, access controls, and phased adoption, using SAP Business Data Cloud to enforce data lineage and auditability for generated outputs. The implementation leverages AI agents to automate complex tasks and free up time for higher value activities, aligning with SAPs stated investment in innovation and cross enterprise visibility goals.
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Alibaba | Professional Services | 124320 | $137.3B | China | SAP | SAP Business AI | Generative AI Platforms | 2025 | n/a |
In 2025, Alibaba Group implemented SAP Business AI as part of a strategic collaboration with SAP to accelerate cloud transformation. SAP Business AI is deployed within Alibaba Group’s SAP Cloud ERP Private infrastructure and is positioned as a Generative AI Platforms capability to augment core enterprise processes.
Implementation architecture centers on embedding SAP Business AI into the SAP Business Technology Platform layer, enabling contextual AI services to be invoked from SAP Business Suite components for faster maintenance and smoother upgrades. SAP Business AI supports category aligned capabilities such as conversational assistance, contextual knowledge augmentation, automated content generation for transactional workflows, and structured output generation for enterprise systems.
Integrations are explicit and broad, Alibaba Group is integrating SAP Business AI with SAP Cloud ERP Private, SAP Business Suite, SAP Ariba for procurement workflows, SAP Integrated Business Planning for planning scenarios, SAP SuccessFactors for HR processes, SAP Concur for travel and expense workflows, and SAP Emarsys for marketing orchestration. Operational coverage spans enterprise infrastructure and cross functional business processes including procurement, planning, human resources, finance, and customer engagement across Alibaba Group’s ecosystem.
Governance and rollout are anchored in a strategic partnership with joint go to market activities and an emphasis on platform consolidation through SAP Cloud ERP Private, with process orchestration to enable smoother upgrades and easier AI integration into existing business process models. Explicitly stated objectives include faster maintenance, smoother upgrades, and optimizing Alibaba Group’s technological backbone to enable greater agility and resilience in serving its ecosystem.
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AXS | Professional Services | 450 | $65M | United States | SAP | SAP Business AI | Generative AI Platforms | 2025 | n/a |
In 2025, AXS implemented GROW with SAP and began groundwork to adopt SAP Business AI within its Generative AI Platforms strategy. The initiative used GROW with SAP to unify and modernize core business operations and establish a foundation for future AI-driven capabilities.
Implementation delivered a unified ERP platform spanning finance, sales, procurement, and asset management, using GROW with SAP standardized templates to minimize customization for SME-friendly operations. The three month implementation was executed collaboratively with Nirvasoft, focusing on configuration of financial close workflows, budget and procurement approvals, and asset lifecycle tracking to enable a single source of truth and real-time operational visibility.
During rollout AXS kept existing systems running in parallel to maintain continuity while teams adopted the new platform, and the company is preparing targeted integrations such as InvoiceNow and document compliance reporting to extend finance modernization. Workstreams include configuring automated approval routing, real-time financial reporting feeds, and transactional visibility across sales and procurement to support regional B2B payment product development.
Governance and operational changes centered on centralized data ownership and standardized process templates, enabling finance and procurement teams to work from consolidated records and reducing manual reconciliation. AXS is explicitly laying groundwork for SAP Business AI adoption to add automation and intelligent insights into finance processing and forecasting, positioning the Generative AI Platforms capability as the next phase of its platform roadmap.
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BRF Global | Consumer Packaged Goods | 100000 | $10.7B | Brazil | SAP | SAP Business AI | Generative AI Platforms | 2025 | n/a |
In 2025 BRF Global deployed SAP Business AI as a strategic Generative AI Platforms initiative to enhance supply chain planning across its global operations. The SAP Business AI deployment is embedded into SAP Integrated Business Planning and is positioned to support daily demand planning and sensing for the companys planning organization.
The implementation emphasizes supply chain modules and AI-driven capabilities within SAP Integrated Business Planning, notably demand planning and sensing, statistical modeling, forecast accuracy and embedded analytics, time-series analysis, and exception management. AI algorithms combine traditional time-series forecasting, regression and predictive modeling with machine learning to produce more precise daily forecasts, and the solution is also used for master data analytics to improve data quality and planning processes. BRF is using SAPs Joule copilot alongside SAP Business AI to surface AI-driven insights and provide chatbot assistance through the SAP Help Portal for planner enablement.
Architecturally the program links SAP Integrated Business Planning to the broader SAP landscape, concurrent with a brownfield SAP S/4HANA Cloud upgrade of an existing SAP ECC environment, and operational integrations with cloud based SAP Ariba for procurement and SAP SuccessFactors for human capital management. The scope covers BRFs manufacturing and logistics footprint, including 44 production units, 103 distribution centers, more than 500,000 deliveries per month, a customer base exceeding 415,000, production of 5 million tons of food per year, and operations in over 127 countries, supporting more than 400 planners in day to day execution.
Governance and process workstreams focus on collaborative forecasting, real-time data alignment, consolidation of operational and financial planning, and interdepartmental workflow adjustments to support exception management and planner decisioning. Explicit outcomes reported include improved forecast accuracy, optimized inventory and fine tuned planning, and a 33 percent faster process for accessing and analyzing demand and forecast data. BRFs deployment has been recognized with SAPs Innovation Award in the Cloud ERP Champion and Industry Leader category, signaling validated organizational alignment between AI capabilities and supply chain operations.
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Chobani | Consumer Packaged Goods | 2000 | $1.8B | United States | SAP | SAP Business AI | Generative AI Platforms | 2024 | n/a |
In 2024, Chobani implemented SAP Business AI as a Generative AI Platforms solution to automate corporate expense workflows. The deployment centers on SAP Business AI embedded into SAP Concur solutions, establishing an AI layer that interfaces directly with expense capture and reporting processes. This positions SAP Business AI as the primary generative AI application supporting finance and travel expense functions at Chobani.
The implementation configures SAP Business AI to perform generative tasks typical for the category, including automated receipt capture and classification, natural language extraction for expense line items, automated expense report generation, and policy validation workflows. SAP Business AI is used to generate structured expense entries from unstructured inputs, create suggested approvals and coding, and automate repetitive reconciliation tasks, aligning system behavior with corporate expense policies.
Integrations are explicitly implemented with SAP Concur solutions to enable end to end automation of expense processes, and the SAP Business AI layer routes validated expense data into Chobani finance workflows. The deployment touches accounts payable, travel and expense management, and central finance teams, where AI outputs feed existing approval queues and reconciliations. Data flows are designed to maintain traceability between Concur transaction records and AI generated annotations.
Governance for SAP Business AI at Chobani includes configuration of policy rules within the expense automation engine, role based controls over AI suggested approvals, and staged rollout across finance teams to validate outputs before broader adoption. Operational change focused on embedding AI suggested actions into existing approval chains and updating expense handling procedures to reflect automated processing. The result of the initiative is a fully automated expense process driven by SAP Business AI operating in conjunction with SAP Concur solutions.
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Leisure and Hospitality | 4000 | $850M | Canada | SAP | SAP Business AI | Generative AI Platforms | 2025 | n/a |
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Banking and Financial Services | 100 | $7M | Brunei Darussalam | SAP | SAP Business AI | Generative AI Platforms | 2024 | n/a |
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Transportation | 103000 | $61.6B | United States | SAP | SAP Business AI | Generative AI Platforms | 2023 | n/a |
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Oil, Gas and Chemicals | 604 | $220M | France | SAP | SAP Business AI | Generative AI Platforms | 2024 | STMS |
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Retail | 400 | $500M | United Arab Emirates | SAP | SAP Business AI | Generative AI Platforms | 2025 | n/a |
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| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
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FAQ - APPS RUN THE WORLD SAP Business AI Coverage
SAP Business AI is a Generative AI Platforms solution from SAP.
Companies worldwide use SAP Business AI, from small firms to large enterprises across 21+ industries.
Organizations such as Alibaba, Delta Air Lines, Lotte Chemical, BRF Global and Xerox Holdings are recorded users of
SAP Business AI for Generative AI Platforms.
Companies using SAP Business AI are most concentrated in Professional Services, Transportation and Oil, Gas and Chemicals, with adoption spanning over 21 industries.
Companies using SAP Business AI are most concentrated in China, United States and South Korea, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of SAP Business AI across Americas, EMEA, and APAC.
Companies using SAP Business AI range from small businesses with 0-100 employees - 6.25%, to mid-sized firms with 101-1,000 employees - 25%, large organizations with 1,001-10,000 employees - 43.75%, and global enterprises with 10,000+ employees - 25%.
Customers of SAP Business AI include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.
Contact APPS RUN THE WORLD to access the full verified SAP Business AI customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Generative AI Platforms.