Companies face the challenge of ensuring service levels while at the same time reducing inventory and working capital. With globally connected supply chains, volatile markets, and increasing uncertainty, achieving this balance is becoming increasingly challenging.
Traditional approaches for safety stock planning are often based on simple formulas, target days of supply, or experience-based values. However, these methods often do not sufficiently consider where uncertainty actually occurs in the network and at which point inventory contributes most to service protection. Especially in multi-echelon supply chains, this can lead to inventory being built up in the wrong places, while critical bottlenecks continue to exist.
Modern inventory optimization, such as SAP IBP Inventory Optimization, addresses exactly this point. Instead of increasing safety stock across the board, the focus is on positioning inventory where it actually contributes to product availability and provides the greatest value. Depending on the initial situation, this can result in a reduction of between 10% and 30% of the overall inventory.
SAP IBP IO uses information from demand planning, supply chain structures, lead times, production lead times, and variabilities to calculate optimized inventory targets across the network. The following core capabilities are used:
Holistic view: SAP IBP IO uses demand forecasts, supply chain structures, inventory data, and relevant planning parameters to transparently analyze inventory across the entire network.
Optimization of inventory targets: IBP IO helps define optimized inventory targets. This includes considering demand uncertainty, forecast error, lead times, production lead times, and their variability. The goal is not to define safety stock based on broad assumptions, but to calculate it in a data-driven way for each product-location combination.
Multi-echelon network optimization: Inventory is not optimized in isolation for each stocking location, but across the entire supply chain network. The system analyzes at which stocking locations safety stock should be held and where inventory can be better covered by upstream or downstream nodes.
Balance between service level and inventory costs: A key benefit is the transparent trade-off between service level and inventory costs. This enables companies to better evaluate which service level targets are realistic, which inventory levels would be required to achieve them, and where unnecessarily high inventory can be reduced.
The result of the optimization is a set of concrete inventory targets for each product-location combination. Planners receive a data-driven basis for decision-making to adjust safety stocks in a targeted way and to transparently evaluate the impact on service level, inventory levels, and costs.
Another advantage of SAP IBP IO is the ability to simulate different scenarios. For example, companies can analyze how higher service level targets, changed lead times, new network structures, or changed demand volatility affect the required inventory. Examples of such scenarios could include:
In addition to detailed views in planning interfaces, inventory levels can also be monitored and analyzed through clear dashboards.
The implementation of SAP IBP IO is not only a technical project. In many cases, existing planning logic, responsibilities, and trade-offs between sales, supply chain management, production, and finance need to be realigned. The optimization results should not be viewed in isolation, but embedded into an integrated S&OP or IBP process.
When used correctly, SAP IBP IO supports companies not only in calculating safety stock, but in managing it strategically. This creates transparency where inventory is actually needed, which service levels are realistic, and how working capital can be used more effectively.