Introduction
Fulfillment inventory accuracy dropping to 90% is a critical issue that directly impacts customer satisfaction, operational efficiency, and the bottom line. I'll approach this problem systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term fixes and long-term solutions.
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: System changes often lead to data discrepancies or process disruptions. Expected answer: Yes, a new inventory management system was implemented 4 months ago. Impact on approach: If confirmed, I'd focus on system integration issues and data migration accuracy.
Why it matters: Localized issues might point to specific operational problems, while widespread issues suggest systemic challenges. Expected answer: The drop is more pronounced in certain product categories and specific warehouses. Impact on approach: I'd prioritize investigating those specific areas and look for common factors.
Why it matters: Seasonal fluctuations might explain temporary dips in accuracy. Expected answer: This is significantly lower than our usual 98% accuracy, even accounting for seasonal variations. Impact on approach: I'd focus on recent changes or disruptions rather than cyclical factors.
Why it matters: Changes in measurement can create apparent issues that don't reflect actual operational changes. Expected answer: No changes in calculation methods have been made. Impact on approach: I'd focus on operational and system-related factors rather than reporting discrepancies.
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