Insights
Using AI to manage shelf life, stockouts, and margins in SAP supply chains
Global supply chain disruption is no longer an exception; it is an ongoing reality. Rising logistics costs, shorter product lifecycles, unpredictable demand, geopolitical pressures, and sustainability requirements have exposed the limits of traditional ERP systems.
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Business background
In industries such as pharmaceuticals, medical devices, cosmetics, and retail, material expiry management is a core supply chain requirement. In SAP S/4HANA Cloud environments, organizations typically enable batch management for materials that require tracking the expiry date. They use batch basic view fields and batch classification characteristics to manage production dates, expiration dates, remaining shelf life, manufacturer details, and batch numbers.
From a business standpoint, expired or near-expiry materials create clear risks: increased waste, reduced margins, and negative customer impact. Effective expiry management is critical to controlling enterprise supply chain and inventory operations.
The food and beverage industry adds further complexity. As a large and diverse sector responsible for producing, processing, and distributing consumable goods, it faces strict regulatory requirements and high expectations for freshness and safety. These factors make accurate material handling and disciplined supply chain management essential.
We often hear the same questions from organizations using batch management: how to get timely alerts for materials nearing expiry and how to easily report on expiring batches. In standard SAP solutions, this information is typically spread across multiple reports, including inventory and batch detail views, making it harder to act quickly.
To address this need, we developed an AI-enabled Shelf-Life Intelligence Hub for SAP Cloud ERP, built on SAP S/4HANA Cloud and supported by Joule AI Copilot. The solution helps enterprises reduce waste and stockouts by enabling expiry-aware fulfillment. It prioritizes short-dated inventory, improves sell-through, and helps protect margins without adding operational complexity.
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Application scenarios
UST’s AI-powered Shelf-Life Intelligence Hub can track and manage near-expiry materials in stock to make real-time inventory and fulfillment decisions. For example, specific companies can set a one-year or six-month expiry warning range based on their diversified business management needs.
Key capabilities of Shelf-Life Intelligence Hub are:
- Expiry-aware demand forecasting (to reduce waste)
- Stockout prevention (to protect service levels)
- Margin protection (to prioritize commercially viable inventory)
- Expiry-aware demand forecasting
Fluctuating consumer behavior and seasonal demand shifts require agile supply chain and inventory management. Accurate forecasting is essential to maintain service levels as demand patterns change.
SAP Joule Copilot can be used to surface expiry and shelf-life context from SAP S/4HANA master and batch data. It connects with expiry-aware forecasting logic in SAP IBP and SAP S/4HANA, including shelf-life and time-series planning, and delivers insights directly within the SAP cloud experience.
With this approach, planners can access:
- A ranked list of inventory batches at risk with recommended actions, such as transfer, promotion, discount, donation, or disposal
- Forecast variances with clear drivers, such as promotional demand spikes or slow-moving inventory
- Automated creation of planning documents, transfer orders, or markdown approvals, aligned with existing governance controls
- Stockout prevention
In the food and beverage industry, stockouts are often driven by a combination of forecasting gaps, lack of expiry visibility, supply delays, and fragmented data. By adding expiry awareness, AI-based forecasting, and real-time support through SAP Joule, organizations can shift from reacting to problems to planning ahead and meeting demand more reliably.
The Shelf-Life Intelligence Hub uses predictive algorithms to forecast consumption and simulate when on-hand inventory will be depleted. SAP Joule Copilot continuously monitors inventory and shelf-life data, factoring expiry into stockout risk predictions. It then recommends or triggers preventive actions such as replenishment, substitution, inventory transfers, or demand shaping, all within the SAP Cloud ERP environment.
- Margin protection
Food and beverage margins are tight, and commercial decisions must balance sales margin with the risk of waste. The goal is to maximize profit contribution while minimizing losses from expired inventory.
The Shelf-Life Intelligence Hub on SAP S/4HANA Cloud uses expiry-aware AI to assess profit by SKU, region, and channel, helping SAP Joule recommend actions that make the best use of remaining shelf life.
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Architecture
How UST simplifies complexity
UST simplifies complexity by keeping a clean core on SAP Cloud ERP and extending capabilities through governed, explainable AI on SAP BTP.
- Fit-to-standard food and beverage processes, including batch management, shelf-life and FEFO, quality management, and traceability, with minimal custom code
- SAP BTP extension patterns for labeling and GS1 compliance, near-expiry pricing, co-packer and 3PL portals, and deduction management
- Flex iOM to support intelligent ATP and allocation during promotions or supply constraints, with human-in-the-loop approvals
- Rapid Readiness and business value workshops to define KPIs, Wave 1 scope, and guardrails in as little as 2–5 days
- AI-assisted deployment for testing, training, and data quality to accelerate stabilization
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Conclusion
In a world of constant volatility, supply chain performance depends on real-time intelligence and continuous improvement.
UST’s AI-enabled Shelf-Life Intelligence Hub provides supply chain leaders with a platform that not only anticipates outcomes but also recommends the most commercially viable next action based on expiry, demand, and margin considerations.
Ready to apply AI across your SAP landscape or plan a focused supply chain transformation?
Connect with our SAP experts to see how this approach can support your goals.
- Email us at [email protected]
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