Automotive Aftersales Demand Planner: Inventory Forecast

AlFuttaim; Dubai; On-site; AED 156,000 - 246,000; Full time

Job summary

Al-Futtaim Automotive in Dubai invites a Demand Planner to optimize aftermarket parts inventory. You will apply statistical forecasting, manage replenishment, analyze back orders, and drive stock efficiency across multiple brands.

You bring about 5 years in supply chain, experience with SAP and Syncron, and a strong track record in improving service levels and forecast accuracy within an automotive context.

Qualifications

• Bachelor or Master in supply chain or industrial engineering.
• Approximately 5 years of professional supply chain experience.
• Automotive aftersales, parts, or distribution experience preferred.
• Strong forecasting, replenishment and stock optimization skills.
• Experience with SAP and master data management (MDM).

Responsibilities

• Review and process back-to-back supplier orders within lead times.
• Monitor back orders and provide ETD/ETA information to customers.
• Analyze forecast variance and drive corrective actions.
• Coordinate with sales and ordering teams to reduce lost sales.
• Maintain SAP MDM master data and parts information.
• Prepare management reporting on inventory and demand planning.

Skills

Demand planning

Inventory planning

Automotive aftersales

Parts forecasting

Forecasting

Back order management

Excel

Branch stock health analysis

Forecast accuracy analysis

Microsoft PowerPoint

Education

Bachelor's or Master's degree in Supply Chain Management or Industrial Engineering

Tools

SAP

SAP MDM

Syncron

ERP systems

Atlas or similar demand planning tools

Job description

Al-Futtaim Automotive in Dubai invites a Demand Planner to optimize aftermarket parts inventory. You will apply statistical forecasting, manage replenishment, analyze back orders, and drive stock efficiency across multiple brands.

You bring about 5 years in supply chain, experience with SAP and Syncron, and a strong track record in improving service levels and forecast accuracy within an automotive context.