Sapsol Technologies

DDMRP Consultant

Inventory ManagementConfirmed live in the last 24 hours

Full-time$60 - $80

Hands-on experience with SAP S/4HANA Demand Driven Replenishment or Demand Driven Material Requirements Planning configuration.
Strong understanding of buffer-based planning, average daily usage, decoupled lead time, variability factors, and net flow position.
Experience with Materials Management, Production Planning, or supply chain planning integration.

Configure SAP S/4HANA Demand Driven Replenishment, including buffer profiles, average daily usage, decoupled lead time, 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 artificial intelligence-driven predictive ordering layer for proactive replenishment.
Recommend uplift quantities based on predicted supply disruptions and risk signals.
Integrate replenishment triggers with Materials Management, Production Planning, procurement, and related planning processes.
Collaborate with artificial intelligence and machine learning teams to build predictive uplift and risk-scoring models.
Validate system outputs and ensure alignment between DDMRP logic and artificial intelligence recommendations.
Prepare documentation and test cases, and support demonstrations for predictive and DDMRP scenarios.

Knowledge of demand sensing, predictive planning, or supplier lead-time analytics.
Exposure to SAP Integrated Business Planning for inventory or demand planning.

Sapsol Technologies Inc · United States (Remote) · Contract · Posted 2026-01-07

Salary: USD 60–80

Workplace: remote

Job Title : DDMRP- Consultant

Client -Sapsol/ Manufacturing Client

Remote- India/US/Canada

- Responsibilities

Configure SAP S/4HANA Demand Driven Replenishment (DDR) 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 + DDMRP scenarios.

R equired Experience

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

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