Analyst(s): Keith Kirkpatrick
Publication Date: January 13, 2026
SAP announced a new generation of AI-enhanced retail capabilities at NRF 2026, positioning AI as a foundational layer across planning, operations, commerce, and fulfillment. The company introduced Retail Intelligence in SAP Business Data Cloud, agentic commerce capabilities, and an Order Reliability Agent to support consistency, reliability, and omnichannel execution.
What is Covered in this Article:
- SAP’s announcement of AI-enhanced retail innovations at NRF 2026
- Retail Intelligence in SAP Business Data Cloud for demand and inventory planning
- AI-assisted assortment management, omnichannel promotions, and fashion-specific enhancements
- Agentic commerce via SAP Commerce Cloud and the introduction of Order Reliability Agent
The News: SAP SE announced a new generation of AI-enhanced retail innovations at NRF 2026, positioning AI as embedded across planning, operations, commerce, and fulfillment. The company described this approach as a closed-loop, AI-enhanced retail operating system designed to improve intelligence, resilience, and consistency across retail workflows.
SAP introduced Retail Intelligence within SAP Business Data Cloud, new AI-assisted assortment management using the Joule copilot, omnichannel promotion pricing integrated with SAP S/4HANA Cloud Public Edition, agentic commerce capabilities via SAP Commerce Cloud, and an Order Reliability Agent planned for release in Q2 2026.
SAP Positions AI as a Core Retail Operating Layer at NRF 2026
Analyst Take: SAP’s NRF 2026 announcement positions AI not as an overlay but as a structural component of retail execution, spanning planning, operations, customer engagement, and fulfillment. As such, SAP consistently frames its retail portfolio as a closed-loop system where data, AI, and operational processes are tightly connected. The introduction of Retail Intelligence in SAP Business Data Cloud anchors this approach by consolidating internal and third-party data sources into a single environment. This consolidation is intended to reduce fragmentation and manual effort rather than introduce additional point solutions.
Retail Intelligence as a Planning and Execution Layer
Retail Intelligence, launching in H1 FY 2026, is positioned as the analytical core of SAP’s retail strategy. The solution harmonizes real-time data from sales, inventory, customers, and suppliers across SAP software and third-party systems, and applies AI-generated simulations to anticipate outcomes and optimize inventory. SAP states that this improves forecast accuracy, reduces manual planning effort, lowers inventory costs, and raises service levels, while supporting seamless omnichannel engagement. This is designed to shift teams from reactive to proactive decision-making by modeling risk before it has an impact. Taken together, Retail Intelligence is presented as a mechanism for aligning planning and execution within a single data and AI environment.
Operational AI Focused on Merchandising and Pricing Consistency
SAP’s AI-assisted assortment management introduces natural language interaction through the Joule copilot, enabling planners to create, modify, or retire assortments without reliance on specialist users. This capability is designed to address the need for faster decision-making in response to frequent market shifts. In parallel, SAP integrated Omnichannel Promotion Pricing with SAP S/4HANA Cloud Public Edition to centralize promotion rules across in-store and online channels. This approach is designed to help reduce pricing errors and ensure consistent customer experiences. Collectively, these capabilities frame AI as being embedded directly into daily merchandising and pricing workflows, rather than as separate analytical processes.
Agentic Commerce and Channel-Less Engagement
SAP’s introduction of a storefront MCP server within SAP Commerce Cloud extends AI beyond internal operations into customer-facing commerce. The company states that retailers can make storefronts intelligible to AI assistants, enabling discovery, engagement, and transactions across both human and AI-assisted touchpoints, including platforms such as ChatGPT. This is described as enabling agentic commerce and a channel-less experience, where traditional boundaries between storefronts, search, and assistants are reduced. It also allows retailers to meet customers where they feel most comfortable shopping, which increasingly is not in traditional web stores.
Reliability and Fulfillment as Loyalty Drivers
The planned Order Reliability Agent, part of SAP Order Management Services and expected to be released in Q2 2026, addresses fulfillment complexity and rising customer expectations. SAP states that the agent proactively identifies and resolves potential order issues, helping associates respond to order status, stock availability, and fulfillment risks before customers are impacted. This will help customers shift service from reactive issue resolution to proactive reliability management.
In the future, SAP is exploring broader end-to-end opportunities, such as connecting higher product return rates to vendor quality and linking orders to warranty and service. Furthermore, the company is considering various agentic approaches to enable agents to communicate with each other, all within a unified platform connected to Joule, the SAP copilot.
All told, SAP’s announcements represent the next phase of agentic AI, which involves utilizing agents to handle more complex workflows designed to address larger customer lifecycle issues, rather than simply completing disparate tasks. The biggest challenge SAP faces is customer adoption of these agents at scale across the entire organization, which is the most likely way to generate a positive ROI from agentic technology.
What to Watch:
- Retailers’ ability to operationalize Retail Intelligence as a single planning and execution layer across SAP and third-party systems
- Adoption of natural language assortment management and its impact on merchandising workflows
- Practical deployment of agentic commerce through SAP Commerce Cloud and MCP-enabled storefronts
- Effectiveness of the Order Reliability Agent in improving fulfillment consistency at scale
See the complete press release on SAP builds AI into the core of retail at NRF 2026 on the SAP website.
Disclosure: Declaration of generative AI and AI-assisted technologies in the writing process: This content has been generated with the support of artificial intelligence technologies. Due to the fast pace of content creation and the continuous evolution of data and information, The Futurum Group and its analysts strive to ensure the accuracy and factual integrity of the information presented. However, the opinions and interpretations expressed in this content reflect those of the individual author/analyst. The Futurum Group makes no guarantees regarding the completeness, accuracy, or reliability of any information contained herein. Readers are encouraged to verify facts independently and consult relevant sources for further clarification.
Disclosure: Futurum is a research and advisory firm that engages or has engaged in research, analysis, and advisory services with many technology companies, including those mentioned in this article. The author does not hold any equity positions with any company mentioned in this article.
Analysis and opinions expressed herein are specific to the analyst individually and data and other information that might have been provided for validation, not those of Futurum as a whole.
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Author Information
Keith Kirkpatrick is Research Director, Enterprise Software & Digital Workflows for The Futurum Group. Keith has over 25 years of experience in research, marketing, and consulting-based fields.
He has authored in-depth reports and market forecast studies covering artificial intelligence, biometrics, data analytics, robotics, high performance computing, and quantum computing, with a specific focus on the use of these technologies within large enterprise organizations and SMBs. He has also established strong working relationships with the international technology vendor community and is a frequent speaker at industry conferences and events.
In his career as a financial and technology journalist he has written for national and trade publications, including BusinessWeek, CNBC.com, Investment Dealers’ Digest, The Red Herring, The Communications of the ACM, and Mobile Computing & Communications, among others.
He is a member of the Association of Independent Information Professionals (AIIP).
Keith holds dual Bachelor of Arts degrees in Magazine Journalism and Sociology from Syracuse University.
