• Develop, maintain, and improve short-, medium-, and long-term demand forecasts for thermoformed and extruded products using historical data, customer inputs, industry trends, and analytical tools. • Monitor forecast accuracy (MAPE, Bias, etc.) and implement corrective actions to improve performance. • Identify demand risks, surges, shifts in customer ordering behavior, and communicate impacts to operations and leadership. • Support pricing evaluations and new product introductions by estimating volume, capacity requirements, and demand variability. • Serve as the primary liaison between Sales, Customer Service, Production Scheduling, and Operations to ensure alignment between demand and supply. • Participate in weekly and monthly S&OP meetings by presenting forecast updates, key variances, and recommendations. • Work closely with Extrusion and Thermoforming teams to understand production capabilities, resin usage, machine constraints, and lead time requirements. • Partner with Purchasing to plan raw material needs—especially resin and packaging materials—based on forecast and production plans. • Translate demand forecasts into capacity requirements across multiple facilities and production lines. • Coordinate with Production Planners and Plant Managers to balance loads, minimize changeovers, and optimize machine utilization. • Support decisions on make-to-stock vs. make-to-order strategies, safety stock calculations, and inventory targets. • Monitor facility-specific constraints and recommend proactive adjustments during peak seasons, customer onboarding, or production shifts. • Analyze sales patterns, customer performance, and order history to identify opportunities for improvement. • Generate and maintain KPI dashboards for forecast accuracy, inventory health, service levels, and production capacity. • Provide data-driven insights to leadership to support strategic and operational decisions. • Lead or participate in continuous improvement projects focused on forecasting accuracy, inventory optimization, planning processes, and cross-department communication. • Identify inefficiencies in the demand planning workflow and propose standardized procedures or digital tools to enhance planning efficiency. • Support implementation of ERP/MRP upgrades, forecasting software, or process automation. • Promote best practices in planning, root-cause problem solving, and data integrity.