Location: Bacoor, Cavite
Work Setup: Full Onsite
Schedule: Monday - Friday, 8:00 AM - 5:00 PM
Job Description
The Demand Planner is responsible for forecasting product demand, managing inventory levels, and ensuring optimal stock availability across stores and warehouses. This role plays a key part in supporting supply chain efficiency by analyzing data trends, monitoring stock aging, and coordinating closely with Operations, Sales, Marketing, and Purchasing teams—particularly within a fast‑paced FMCG environment.
Key Responsibilities
- Monitor and track stock aging to reduce excess inventory and minimize waste
- Analyze historical sales and inventory data to develop accurate demand forecasts
- Collaborate with Operations, Sales, and Marketing teams to account for promotions and demand‑driving activities
- Track and manage replenishment requirements for stores and remote warehouses
- Conduct regular inventory reviews to ensure optimal stock levels and product availability
- Evaluate inventory turnover rates and recommend improvements
- Review forecast accuracy and refine demand models as needed
- Identify discrepancies, stock aging issues, and inefficiencies to provide actionable insights
- Prepare and present demand planning and inventory reports to stakeholders
- Implement best practices in demand planning and inventory management
- Support continuous improvement initiatives to enhance overall supply chain performance
Qualifications
- Bachelors degree in Business Administration, Industrial Engineering, Supply Chain Management, or a related field
- 1–2 years of experience in demand planning, inventory management, or a related role
- Strong background and understanding of the FMCG industry
- Proficiency in demand forecasting tools, ERP systems, inventory management software, and advanced Excel
- Solid understanding of inventory management principles, stock aging, and replenishment processes
- Strong analytical and problem‑solving skills with high attention to detail
- Excellent communication and interpersonal skills for cross‑functional collaboration
- Ability to analyze data trends and make data‑driven recommendations
- Capable of thriving in a fast‑paced and dynamic work environment