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Product Management Root Cause Analysis Question: Investigating drop in fulfillment inventory accuracy

Why has Fulfillment inventory accuracy dropped to 90%?

Problem Solving Data Analysis Process Improvement E-commerce Logistics Supply Chain
Data Analysis Root Cause Analysis Process Optimization Inventory Management Fulfillment Operations

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)

  • Looking at the timing, I'm thinking there might be a recent change in our inventory management system. Has there been any significant update or migration in our inventory tracking software in the past 3-6 months?

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.

  • Considering the scale of the problem, I'm wondering about the scope. Is this accuracy drop consistent across all warehouses and product categories, or are we seeing variations?

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.

  • Thinking about seasonal patterns, could you clarify if this 90% accuracy is a significant deviation from our historical performance during this time of year?

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.

  • Considering potential changes in measurement, has there been any recent modification in how we calculate or report inventory accuracy?

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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