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Optimization of planning processes with SAP IBP: New functions in the SAP IBP 2405 release

Continuously improving your planning processes is critical to your efficiency and competitiveness in today's dynamic business environment. With the latest SAP Integrated Business Planning for Supply Chain (SAP IBP) Release 2405, you get powerful tools to support your decision-making and optimize operations.

Better insights for the inventory planner through preconfigured analytics stories

The latest release for SAP IBP provides pre-configured analytics stories for inventory, providing immediate insights into key inventory data and facilitating the analysis of inventory information. Furthermore, the inventory process is enhanced by the integration of lead time calculations, leading to improved levels of transparency and accuracy in inventory management. Bottlenecks can thus be identified, and the efficiency of the supply chain increased.

Another initiative is the expansion and simplification of the standardized planning area “SAPIBP1” for SAP Integrated Business Planning for Supply Chain (SAP IBP). This optimizes the planning process within SAP IBP, makes planning easier for users and improves the overall efficiency of supply chain planning.

These developments offer numerous advantages. The provision of preconfigured analytics stories enables faster and scalable integration for time series data. Employees benefit from enhanced analytics and visualization capabilities from SAP Analytics Cloud that increase efficiency and improve decision-making.

In addition, the powerful and user-friendly visualizations that support SAP IBP's planning functions improve processes and help to make overall supply chain planning more efficient.

Real Time Integration (RTI) for the reconciliation of goods issues for order-based planning

This function enables supply chain planners to compare and reconcile past goods issue quantities for sales orders between SAP ERP or SAP S/4HANA and SAP Integrated Business Planning for Supply Chain (SAP IBP) within a freely selectable time. This helps planners to ensure data consistency and create precise consumption forecasts.

In addition, planners can use this function to directly compare goods issue quantities between SAP ERP or SAP S/4HANA and SAP IBP within a specific time frame. This enables effective analysis and evaluation of the data.

By activating real-time information reconciliation (RTI), any inconsistencies in outgoing goods quantities between the systems are detected and corrected immediately. This helps to improve the accuracy of the data and increase the efficiency of supply chain planning.

You can also use this function to detect and immediately correct deviations in outgoing goods quantities using the reconciliation function. This enables precise inventory management, and potential bottlenecks can be identified and rectified at an early stage.

It also enables customers to have the correct forecast consumption-relevant quantity in the event of technical faults or during the changeover and commissioning. This contributes to customer satisfaction and minimizes the potential impact of delivery delays or failures.

Improvements to the Master Data Workbooks for SAP IBP

Adjustments to the SAP IBP add-in for Microsoft Excel have improved the user-friendliness of master data workbooks. One example of this is the ability to display product descriptions in the master data that relate to specific customer products, which in turn represent a combination of product and customer.

These improvements enable users to process master data more easily and efficiently, which in turn simplifies workflows and optimizes the use of time.

In addition, using the SAP IBP add-in for Microsoft Excel helps to avoid interruptions when checking and updating master data. Thanks to a seamless integration, users can continue their work in Excel without being affected by missing master data or process interruptions, for example by reconnecting after a planning area activation.

AI-Powered automated outlier corrections

The automated processing of outliers that match an individual planning combination is a process in which the system automatically selects the appropriate method for detecting and correcting these outliers.

An example of this could be as follows: Suppose a company plans the production of different products for different regions. It can happen that the actual demand in one region suddenly deviates significantly and is therefore identified as an outlier.

The system automatically analyzes the historical data, the characteristics of the planning combination and other relevant factors to determine how this outlier should be handled. Depending on the nature of the outlier and the specific conditions of the planning combination, the system can take various actions. For example, it could decide to adjust the demand in this region by adjusting the production planning for these products accordingly.

This automated processing of outliers ensures that forecasting accuracy is improved as the system can respond quickly and accurately to unexpected events without the need for human intervention. This leads to more efficient and reliable supply chain planning.

New safety stock policy to ignore demand dependent on stock transfer

A new option is added to the calculation of safety stock for a product at a location by prioritizing customer and production demand over stock transfer related demand.

A policy for the allocation of safety stocks is defined in the master data of the product location, which is limited to the following options:

First come, first served (all equal): Safety stocks are distributed evenly across all types of demand, regardless of whether it is customer demand, production demand or stock transfer-dependent demand.

Parts (allocated separately for each demand type): Safety stocks are allocated separately for each type of demand to ensure that customer requirements, production demand and stock transfer-dependent demand are adequately considered.

Independent demand (reserved for customer demand only): The safety stock is reserved exclusively for customer demand, while stock transfer-dependent demand and production demand are ignored when calculating the safety stock.

The introduction of this new policy will allow customers to calculate safety stock for independent demand and production demand, ignoring stock transfer related demand.

In addition, by considering customer demand, production and stock transfers, the need for safety stock in a factory with limited storage capacity is reduced. This enables more efficient use of the available storage space and minimizes the risk of bottlenecks.

It also calculates the additional safety stock required at the receiving locations after a factory to compensate for lower safety stock levels and allocation decisions at the factory. This ensures a balanced distribution of stock along the supply chain, which improves product availability and optimizes inventory costs at the same time.

By integrating the latest SAP Integrated Business Planning for Supply Chain (SAP IBP) Release 2405 into your business processes, you gain powerful tools to support your decision making and optimize operations. With these new features and benefits, you can take your supply chain planning to a new level to meet the ever-changing demands of the market and achieve your business goals.

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