Demand Driven Material Requirements Planning
Sapsol Technologies Inc
Apply to this job US remote Until 8/21/2026 First posted January 8, 2026 Last posted January 8, 2026
Job description
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.
About this role
Summary
Configure SAP DDR/DDMRP, optimize buffers, integrate demand and supply planning.
Job title
Demand Driven Material Requirements Planning
Experience level
null
Industry
manufacturing
Location requirements
Remote work allowed in US, Canada, India for this role.
Salary
Not specified
Management role
No
Skills & keywords
Required skills
sap s/4hana ddrbuffer-based planningdemand variabilitysupply chain planning integration
Preferred skills
demand sensingpredictive planningsap ibp
Specializations
ddmrpsupply chain planningdemand variabilitypredictive modeling
Locations
Structured locations inferred from the posting.
United States
Remote Country