Optimizing Shipping Routes to Reduce Lead Time

Project Objective: The project aimed to optimize shipping routes and implement CPFR (Collaborative Planning Forecasting and Replenishment) to transition network equipment replenishment from China to Dubai. The primary objective was to enhance operational efficiency and decrease costs by significantly reducing lead time.

Role and Responsibilities: As a Data Analyst, key responsibilities included:

• Employing data analysis to forecast demand, improving accuracy in equipment requisitions and rollout plans.
• Generating reports and visualizations to monitor shipment timelines and inventory movement.
• Collaborating on developing tools for managing stock levels and facilitating seamless data exchange between teams.
• Contributing to interface development to align shipments with updated plans.

Approach and Methodology: The project adopted a data-driven approach to decision-making, focusing on:

• Utilizing data analysis to forecast demand and optimize inventory management, resulting in improved stock quality and cash flow optimization.
• Developing customized planning tools and tracking mechanisms to streamline supply chain processes and ensure timely and efficient supply.

Results and Achievements: The project yielded significant outcomes, including:

• Lead Time Reduction: Implemented strategies resulting in a notable 4–5-week reduction in lead time through improved forecasting and agile response to rollout plans.
• Inventory & Cash Flow Optimization: Synchronized equipment shipments with consumption, enhancing stock quality and optimizing cash flow management.
• Customization & Flexibility: Employed data forecasts to customize packaging and adjust plans, enhancing flexibility and responsiveness to demand changes.
• Process Improvement: Established a data-driven planning tool and streamlined tracking mechanisms for timely and efficient supply.

Benefits Realized: The project's impact extended to various operational and financial aspects, including:

• Operational Efficiency: Improved lead times provided OEG technical teams with up to 40 days flexibility in configuration adjustments before delivery.
• Work-in-Process Reduction: Eliminated excess stock, optimizing work-in-process and reducing operational expenditures in warehouses.
• Financial Impact: Reduced the cash-to-cash cycle, enhancing return on assets and alleviating pressure on foreign currency payments to suppliers.
• Operational Flexibility: Enabled customization based on OEG requirements in Dubai, ensuring a faster spare parts replenishment cycle.

(Please note that specific numbers and data have been intentionally omitted from this portfolio for the company's confidentiality.)

Change in Route:

Example of tools & reports