Integrated Planning with SAP IBP for small and midsize enterprises

Our valantic SAP IBP approach for medium-sized businesses is the solution for your planning questions:

• Mapping of the S&OP process in industry-specific best practice templates and dashboards (plug-n-play)
• Efficient project implementation within 3 months
• Cooperative implementation and fast know-how transfer

The importance of integrated planning at the push of a button is omnipresent and requires a coordinated sales & operations planning process, an organization with strong implementation capabilities and a consistent IT infrastructure. The goal of integrated planning in the tactical area is to generate an S&OP plan that is coordinated and feasible by all stakeholders and to transfer it to the production and ERP system. The basis is a system-supported sales planning process that takes into account the sales history, future sales (customer orders, promotions, opportunities), recognizes demand patterns, generates an optimal statistical forecast and allocates the best possible forecast based on dynamic logics. You define the relevant restrictions for validating the “consensus demand”: bottleneck resources, storage facilities, purchase contracts or transport capacities. At the push of a button you receive feedback on the planned utilization. Using scenario and simulation technology, you can create decision bases, visualize them with SAP IBP Embedded Analytics and use them as a basis for your Executive S&OP Meetings.

You will benefit from our valantic best practice approach, our knowledge from numerous customer projects, SAP IBP standard functionalities as well as industry-specific processes and templates. This enables you to effectively and pragmatically implement SAP IBP in your company.

• • Integration of short-term demand changes for Make-to-Stock (MTS) & Make-to-Order (MTO) processes in planning and to ensure the service level towards the customer

• • Analysis, planning and adjustment of sales histories in the course of demand planning and system-based demand forecasting

• • Use of statistical forecast methods including best-fit for the forecast of irregular demand patterns

• • Projection of inventory trends and use of a bill of material explosion to derive raw material requirements

• • Creation of a feasible S&OP plan taking into account restrictions in production and purchasing

• Simulation and creation of what-if scenarios when comparing demand & supply and deriving a feasible plan for end-to-end sales & operations planning