Demand Planner

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