Introduction
Amazon Fresh's order accuracy dropping to 85% is a critical issue that demands immediate attention. This decline in accuracy directly impacts customer satisfaction, operational efficiency, and the overall reputation of Amazon's grocery delivery service. In this analysis, I'll systematically investigate the root causes, generate hypotheses, and propose solutions to address this problem.
Framework overview
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Recent changes often correlate with performance shifts. Expected answer: Yes, a new inventory management system was implemented. Impact on approach: If true, I'd focus on system integration and training issues.
Why it matters: Helps identify if the issue is systemic or localized. Expected answer: Variation exists, with some regions maintaining 95%+ accuracy. Impact on approach: I'd investigate successful regions for best practices.
Why it matters: Rapid growth can stress systems and lead to errors. Expected answer: Yes, there's been a 30% increase in orders over the past quarter. Impact on approach: I'd focus on scalability and capacity planning.
Why it matters: Metric changes can create false perceptions of performance shifts. Expected answer: No changes to the definition or measurement process. Impact on approach: I'd focus on operational factors rather than measurement issues.
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