How would you approach diagnosing inefficiencies in a company's current supply chain planning process, and what key metrics would you analyze to propose actionable improvements?

To diagnose inefficiencies in a company's current supply chain planning process, a multi-faceted approach is needed. This involves mapping the entire supply chain, identifying key performance indicators (KPIs), and analyzing data to pinpoint bottlenecks and areas for improvement. Actionable improvements can then be proposed based on these findings.

To diagnose inefficiencies in a company’s supply chain planning, start by mapping out the entire process and gathering input from all key stakeholders. Use data to identify bottlenecks, delays, and recurring issues.

Key metrics to analyze:

Forecast accuracy (how close your demand predictions are to reality)

Inventory turnover (how quickly inventory is sold and replaced)

Order cycle time (time from order to delivery)

On-time delivery rate

Fill rate (percentage of customer demand

To diagnose supply chain planning inefficiencies, I’d assess demand forecasting accuracy, inventory turnover, order cycle time, and fill rate. I’d map the process end-to-end, identify bottlenecks, and analyze data on lead times and stockouts. Using these insights, I’d recommend tech upgrades, better supplier alignment, and agile planning strategies.