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Using the flexible time axis, you can now set up your planning view to display time periods on different time levels in the same planning view in the Planner Workspaces app. For example, your planning view could display the current quarter in monthly periods, the next year in quarterly periods, while periods farther ahead in the future are displayed in annual periods.
You can add time-based totals and multiple time period levels to your planning views and this feature also supports telescopic planning views.
Extensibility is key to adjust to evolving and unique customer demands, specific use cases, UI requirements, and workflows.
In this release, we’re following up on these requirements by delivering further capabilities that allow you to extend the features provided by the SAP IBP, add-in for Microsoft Excel using Microsoft Visual Basic for Applications (VBA).
The new APIs can mainly be used to retrieve and update master data records. They allow you to include further logic in the planning view templates to display master data information or to change specific attribute values. You can, for example, configure a planning view template, where planners can change the value for the master data attribute “ABC Code” of one product, simply by double-clicking the cell.
As part of simple and easy-to-use APIs, we are also providing VBA samples that can be adjusted to your specific business needs. More APIs to reflect further business use cases are planned.
You can now manually change, delete, fix, and unfix the following planned receipts directly from the Planner Workspaces app:
Purchase requisitions
Stock transfer requisition
Deployment requisitions
Planned orders
Order information like quantity and date can be changed for supported order-based planning key figures.
This feature gives planners the option to interactively change an existing plan to improve the planning results or to solve a problem. They can perform a simulation to review the updated orders and key figures. Planned receipts and key figures can be updated right there in the same app.
In the new Manage Planning Notes app, you can view and delete planning notes that have been created for a specific planning area. Planning notes are typically used to provide additional information for certain key figures and their values. The app provides a wide variety of filter capabilities. Searching planning notes by attribute values or search terms allow users to easily find related planning notes, for example, for a campaign or a certain product. With the help of “keywords”, you can categorize planning notes and easily find similar planning notes in the Manage Planning Notes app.
A systematic evaluation of planning notes helps to reveal potential process improvements. A list of planning notes can be a good basis for planners to jointly review current planning assumptions or critical changes.
You now have the option to boost the existing forecasting capabilities of SAP IBP for demand by integrating custom-built forecasting algorithms. The custom algorithm will be tightly integrated in the forecasting process of SAP IBP, including data aggregation and disaggregation, applying product lifecycle logic and a combined use with the SAP IBP forecasting algorithm in a best-fit model
Use cases include machine learning and algorithms not yet available in the standard solution, customized implementation of already existing algorithms, and use of additional data not present in the SAP IBP system.
The custom algorithm can be written in R, Python, or any other suitable tool. The data exchange between SAP IBP and the custom system is facilitated by an OData service.
The new Croston TSB algorithm can now be used to compute the forecast of intermittent demand. Compared to the classical Croston algorithm that’s already available in SAP IBP for demand, this new algorithm keeps track of both the demand level and the demand interval and allows to model when a product becomes obsolete.
Two separate parameters enable you to tune the demand level and demand interval forecasting.
The estimate of the probability of non-zero demand is updated every period, rather than just when demand occurs.
By deriving the dynamic transport lead times from actual goods movement data and predicting the future lead times, you can now improve the quality of your planning results and make better decisions in SAP IBP.
Intelligent lead time prediction is modeled as a sample Machine Learning (ML) extension use case in SAP Data Intelligence and is delivered with an SAP BTP mission in SAP Discovery Center. The mission allows you to extract the historical lead times from goods movement data in SAP S/4 HANA and to analyze outliers and key influential factors for lead time changes. You can then train ML models using granular transport data, set up and execute AI algorithms that predict future lead times based on the corrected values, and upload the result to SAP IBP for planning and analysis.
This ML extension option helps drive better decisions, improve the quality of planning parameters considered by inventory and supply planning algorithms and enhance plan adherence by considering dynamic nature of the actual lead times and future trends as input to planning runs.
The new Simulate Key Figure Calculations app allows you to speed up configuration by simulating configuration changes without having to activate the planning area. You can create and run simulations to check the correctness of each calculation step, from stored planning level to request level, including the interim calculation steps. You can also use this tool to test the correctness of calculations without having to activate the planning area. The simulation uses actual stored key figure data as input for the simulation.
The representation of the results is also very user-friendly: A calculation graph helps to understand the calculation chain and key figure data is displayed in an easy-to-read table.