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Module: PP✕
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Built a time-series forecasting pipeline to improve SAP MRP inputs for finished goods planning. Features include historical sales order data from SD, production order completion rates from PP, and external demand signals. Forecast outputs are loaded into custom planning tables that feed the MRP controller review process in S/4HANA, reducing over-planning and material buffer overrides.
SAP PP Consultant | Supply Chain Analytics and Forecasting
Connected SAP PP production order data with IoT sensor readings from the plant floor to train a scrap prediction model. Features include machine temperature cycles, material batch quality scores, and operator shift patterns extracted from PP confirmations. Model outputs a scrap probability per production order, visible in a custom Fiori tile for production supervisors.
SAP PP Consultant | Supply Chain Analytics and Forecasting