Introduction
To improve project44's Ocean Visibility solution for more accurate ETA predictions for containerized freight, we need to analyze the current system, identify pain points, and develop innovative solutions. I'll outline a comprehensive approach to enhance this critical aspect of the supply chain management process.
Step 1
Clarifying Questions (5 mins)
Why it matters: Determines the focus areas for improvement and potential data integration opportunities. Expected answer: Multiple sources including AIS data, port schedules, and historical patterns. Impact on approach: Would prioritize enhancing data quality and integration from the most reliable sources.
Why it matters: Helps tailor the solution to user workflows and identify critical touchpoints. Expected answer: Multiple daily checks, especially as shipments approach key milestones. Impact on approach: Would focus on real-time updates and proactive notifications for high-stakes periods.
Why it matters: Identifies external challenges that need to be accounted for in the improved solution. Expected answer: Significant impact, with increased variability in transit times and port operations. Impact on approach: Would incorporate dynamic risk factors and scenario modeling into the prediction algorithm.
Why it matters: Helps align improvements with the product's current market position and competitive landscape. Expected answer: Established product with room for growth, differentiated by extensive network coverage. Impact on approach: Would focus on enhancing unique strengths while addressing any feature gaps with competitors.
At this point, you can ask interviewer to take a 1-minute break to organize your thoughts before diving into the next step.
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