The current retail landscape is characterized by high operational costs and a need for seamless, personalized customer experiences, making AI-driven tools like SAP’s Joule key to digital transformation. Joule is an generative AI assistant integrated into the SAP ecosystem that provides real-time insights and automates workflows, and Joule for retail in particular offers a range of benefits, from user support to improved productivity.
KEY TAKEAWAYS
Powered by AI, Joule enables businesses to interact with their data and receive real-time insights and recommendations for improving processes. In fact, Joule helps employees complete routine tasks up to 80% faster using natural language. For retailers, Joule integrates with existing SAP systems and supports a range of necessary tasks, including inventory planning, supply chain management, merchandising, and finance.
JOULE FOR RETAIL
There is a wide variety of areas where Joule for retail can help:
Assortment Planning
Historically a time-consuming and manual process, assortment planning requires retailers to determine the right quantity and variety of products to sell in order to maximize profit and customer satisfaction. In an effort to improve the process, SAP launched AI-assisted assortment management capabilities, which were announced at NRF 2026. This means Joule can help make assortment planning decisions regarding which products to carry, where to carry them, and how much of them to carry. This assistance reduces bottlenecks and enables faster responses to shifting market trends.
Demand and Inventory Planning
In addition to assortment management, at NRF 2026, SAP also announced its new Retail Intelligence solution as part of SAP Business Data Cloud. Designed specifically for retailers, this solution includes an AI layer for demand forecasting and inventory optimization and is set to launch mid-year.
Joule also helps connect real-time data from sales, inventory, customers, and suppliers to more accurately predict inventory demands. It uses AI-generated simulations to predict outcomes and prevent problems before they occur, improving forecasting accuracy and lowering inventory costs.
Customer Experience
SAP’s AI capabilities, Joule included, also reach the customer side of retail with a variety of solutions for improving customer experience. For example, SAP Business AI for Customer Experience leverages Joule to deliver automated, personalized experiences to customers based on their past preferences and shopping history.
Additionally, SAP is incorporating AI agents into its ecosystem. This includes SAP’s Digital Service Agent, an AI agent for sales and service, which handles customer service inquiries autonomously, requiring limited, if any, human oversight.
Order Management
SAP has added other AI agents into the retail ecosystem. For order management, SAP offers an Order Reliability Agent that proactively identifies and resolves potential order issues, helps associates answer common questions about order status, and handles stock availability and fulfillment risks before they impact customers. These agents enable retailers to move from reactive customer service to proactive issue resolution, showing a clear way that Joule can improve customer satisfaction.
ADDITIONAL CONSIDERATIONS
While Joule offers a variety of benefits, retailers need to understand the challenges before leveraging its capabilities across workflows.
For starters, Joule is not supported within on-premises SAP systems, meaning retailers who are still running on-premises S/4HANA cannot access Joule without first making a migration to the cloud. Another important consideration for those still on-premises is migration complexity. With 6 out of 10 companies not taking advantage of Joule when migrating to S/4HANA, due to the overwhelming transformation, it’s critical to have a change management team that can help assist with adoption.
Pricing and budget are other important factors to consider. Like many AI systems, Joule’s licensing costs are token-based. This means costs can vary greatly depending on which SAP modules companies use, how they’ve customized them, the way the AI is prompted, and the output Joule generates. For standard solutions, Joule usage and pricing are straightforward, but incorporating Joule into customizations can be costly and challenging.
It’s also important to consider that many of the AI-supported capabilities are still in the early stages. Despite the announcements made at NRF 2026 for AI applications in retail, several of these features are in beta or won’t reach general availability until mid-2026. This means real-world retail applications for these tools may still be limited.
MOVING FORWARD
Joule is becoming strategically embedded into SAP’s operations, connecting data across merchandising, supply chain, and customer experience to power informed decision-making. For retailers, these real-time insights are crucial to maintaining a competitive edge, but leveraging Joule is not without its challenges. Without the right strategy or support, these challenges can limit results.
