Our Consultants have been pioneering SAP IBP implementation since 2018. The Expertise they have got in these 7 years is making them confident to complete IBP implementation from scratch.
Good handling of market demand data is one of the most vital concepts in any supply chain. The correct management of demand information can greatly influence the level of integration and responsiveness and has a direct impact on customer service and inventory levels. If customer demand is the activating element in the supply chain, it’s quite clear that a multi-step operational supply chain management process to create reliable demand forecasts can play an active role in improving supply chain effectiveness. But how to create powerful demand planning implementation? The five-step approach outlined below provides guidance.
A company's ability to swiftly and effectively adapt to changing market conditions often defines its competitive advantage. In this context, it is essential to explore Integrated Business Planning (IBP), specifically focusing on how SAP facilitates this process.
Integrated Business Planning is a critical mechanism for addressing challenges, risks, and opportunities within the supply chain. While SAP Sales and Operations Planning (S&OP) traditionally focuses on balancing supply and demand, IBP extends S&OP principles across the entire supply chain. This is achieved through advanced demand and supply planning integrated with financial plans, linking strategic planning to operational execution.
An inventory planning process should include the following steps seen as a system: input (previous steps); throughput (optimization, exception management and review); and finally, outputs (inventory targets):
Previous steps:
Inventory optimization steps:
These steps can be interconnected with:
As expected, the consequent outputs for upcoming processes will be:
SAP Integrated Business Planning (IBP) has become a critical solution for optimizing supply chain management, mainly through its advanced Order-based Planning (OBP) capabilities. This innovative system allows businesses to integrate real-time data and respond proactively to market changes, ensuring that orders are prioritized and managed efficiently. needs and help you stay ahead of the competition.
We have tailored AMS solutions which will make your IT more strategic and less tactical. We will take care of your IBP System with our 24/7 assistance.
CI-DS allows efficient and secure use of ETL tasks to move data between on premise systems and the cloud. CS-DS integration is required for timeseries in addition to the RTI order-based integration based on SAP Cloud Connector. The usage of several integration solutions in IBP is per SAP design and is common when there are ETL and Realtime scenarios. We have expert Integration Consultants which will not only take care of CI-DS system but also other data sources to fetch data for IBP tool.
To begin with the implementation, it is very important to understand the company’s background and its supply chain capabilities and limitations. The project team should be well versed with the company’s products and services. Time spent to bring the project team onboard related to company’s history, its position in the marketplace, vision, and growth opportunities, goes a long way to establish the foundation for the project.
During project prep, the typical activities include preparation of project charter, assembling the project team and execute the project kick-off.
This phase of the project starts with the blueprinting sessions. With IBP Supply, SAP has provided a pre-delivered content to kick-start the project with process flows, business process design documents, test scripts, data templates, etc.
With the business requirements captured during the blueprint sessions, a detailed solution approach was documented, and Fit/Gap analysis was delivered. It is very important that the project team understand the detailed solution approach and agree upon the high-level design. For e.g. Business required modeling of Storage and Transportation capacity constraints.
Testing typically is conducted in 2 cycles followed by 1 round of user acceptance testing including end user training. The challenges faced during test cycles is the business resources availability, as they must be doing their day job and support the testing. This was addressed by a preparing the test plan and schedule at least 3 weeks in advance and blocking the calendars of the participating team members. Prepping the system landscape with the latest and up-to-date data should not be overlooked. Having the system close to production like helps the business community to reflect on challenges they face on day to day basis and the opportunity presented to overcome, or at least identify a work around.
Almost 40-50% of the time spent by the business in conducting the S&OP cycle is to manually assimilate the data in Excel and come up with a feasible and executable plan. The opportunity with this implementation presented itself to bring everything into one data model and automate the planning process as much as possible.
With a detailed cutover plan in place with specific date and time and assigned responsibilities, the team executes the plan seamlessly. It is important to go through the plan multiple times with the entire team and adjusting before the week of executing the plan.
The Go-Live gets confirmed by executing the optimizer run in the Production tenant. While the business team is analyzing the results, the hyper care support will continue and provide support as the business is walks the new path with new application.
We use cookies to analyze website traffic and optimize your website experience. By accepting our use of cookies, your data will be aggregated with all other user data.