Optimizing Demand Forecasting and Inventory Management for Supply Chain Responsiveness

Organization: PharmEvo (Pvt.) Ltd.
Project Type: Final Year Capstone Research Project
Duration: September 2025 – June 2026
University: NED University of Engineering & Technology

Project Overview

Conducted a supply chain research project focused on improving demand forecasting accuracy, inventory management, and overall supply chain responsiveness within the pharmaceutical industry. The study analyzed production and inventory data to identify planning inefficiencies and opportunities for operational improvement.

Key Research Areas

• Demand Forecasting: Analyzed forecasting accuracy, demand variability, and forecast bias to identify planning gaps.

• Inventory Management: Evaluated inventory levels, lead time variability, and opportunities for inventory optimization.

• Supply Chain Analytics: Analyzed operational and inventory data to support data-driven planning decisions.

• Sales & Operations Planning (S&OP): Assessed existing planning practices and identified opportunities for better cross-functional coordination.

Key Findings & Recommendations

• Identified 5+ process gaps affecting supply chain planning and responsiveness.

• Recommended improvements in demand forecasting and inventory management practices.

• Proposed strategies to improve inventory turnover and reduce order-to-delivery cycle times.

• Developed a research-based framework to strengthen demand-supply alignment and operational efficiency.

Skills Applied

Demand Planning | Demand Forecasting | Inventory Management | Supply Chain Analytics | Forecast Accuracy Analysis | S&OP | Supply Chain Optimization