Introduction
To improve Owens & Minor's QSight® inventory management system's ability to predict supply needs, we need to explore innovative features that leverage advanced technologies and data analytics. I'll outline a strategic approach to enhance this critical healthcare supply chain tool, focusing on user needs, pain points, and potential solutions.
Step 1
Clarifying Questions (5 mins)
Why it matters: Determines if we need to focus on data collection improvements or predictive algorithms Expected answer: Data refreshes every 4 hours with occasional discrepancies Impact on approach: Would prioritize real-time data integration and error detection features
Why it matters: Helps identify which product categories need the most improvement Expected answer: 85% accuracy overall, with lower accuracy for seasonal or specialty items Impact on approach: Would focus on category-specific prediction models and seasonality factors
Why it matters: Determines if we need to prioritize interoperability features Expected answer: Basic integration exists, but there are gaps with newer systems Impact on approach: Would explore API enhancements and standardized data exchange protocols
Why it matters: Helps tailor features to specific user needs and workflows Expected answer: Primarily used by inventory managers and procurement officers Impact on approach: Would focus on role-based dashboards and customizable alerts
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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