Introduction
To improve Jumbotail's inventory management system for better demand prediction, we need to focus on adding features that empower store owners with data-driven insights and tools. I'll outline a strategic approach to enhance this critical aspect of their business operations.
Step 1
Clarifying Questions (5 mins)
Why it matters: Understanding the current feature set helps identify gaps and improvement opportunities. Expected answer: Basic inventory tracking, manual reordering, limited historical data analysis. Impact on approach: Would focus on automation and predictive analytics if basic features are already in place.
Why it matters: Determines the complexity level of features we can introduce. Expected answer: Mixed user base, with many store owners having limited tech experience. Impact on approach: Would prioritize intuitive, user-friendly features with optional advanced capabilities.
Why it matters: Identifies available data sources for building predictive models. Expected answer: Basic sales data, limited customer information, no external factor tracking. Impact on approach: Would focus on expanding data collection and integration of external data sources.
Why it matters: Helps identify industry benchmarks and potential differentiation opportunities. Expected answer: Some competitors offering basic forecasting, but no standout solutions. Impact on approach: Would aim to leapfrog competitors with more advanced, AI-driven predictions.
Tip
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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