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Optimizing Demand & Production for Construction Machinery

Domain

Construction Machinery

Date

January - February 2025

Link

Role

Data Analyst Trainee

📌 Business Problem: Inaccurate demand forecasting and production planning led to delays, inventory imbalances, and inefficiencies in meeting dealer and customer demands.
📌 Objective: Improve operational efficiency and responsiveness.
📌 Constraints: Minimize stockouts and inventory imbalances.

🎯 Achievements:
✅ Decreased production lead time by 15%, improving operational efficiency.
✅ Lowered inventory holding costs by 10%, reducing financial burden.
✅ Enhanced demand forecasting and supply chain responsiveness.

📊 Project Focus:
This project focuses on leveraging data analytics to optimize demand forecasting, streamline production planning, and enhance supply chain efficiency.

© 2025 by Jay Bourasi. All rights reserved.

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