Demand Driven Material Requirements Planning

4 months ago
Contract
Senior
Artificial Intelligence and Machine Learning
Sapsol Technologies

Sapsol Technologies

Sapsol Technologies specializes in innovative business transformation by integrating ERP systems, AI, cloud computing, and DevOps, with a focus on S/4HANA implementation, system migration, and managed support services to optimize business processes and...

Internet Software & Services
51-250
Founded 2006

Description

  • Configure SAP S/4HANA Demand Driven Replenishment (DDR) settings, including buffer profiles, ADU, DLT, and Net Flow Position.
  • Design and optimize decoupling points and DDMRP-based inventory buffers.
  • Analyze demand variability, lead-time fluctuations, and replenishment stability.
  • Support development of an AI-driven predictive ordering layer for proactive replenishment.
  • Recommend uplift quantities based on predicted supply disruptions and risk signals.
  • Integrate replenishment triggers with MM, PP, Procurement, and related planning processes.
  • Collaborate with AI/ML teams to build predictive uplift and risk scoring models.
  • Validate system outputs and ensure alignment between DDMRP logic and AI recommendations.
  • Prepare documentation, test cases, and support demos for predictive and DDMRP scenarios.

Requirements

  • Hands-on experience with SAP S/4HANA DDR/DDMRP configuration.
  • Strong understanding of buffer-based planning, ADU, DLT, variability factors, and NPO.
  • Experience with MM/PP/Supply Chain Planning integration.
  • Knowledge of demand sensing, predictive planning, or supplier lead-time analytics is preferred.
  • Exposure to SAP IBP for inventory and demand planning is an advantage.

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