Why has C3.ai's AI-powered demand forecasting tool seen a 15% drop in accuracy over the past month?

Introduction

C3.ai's AI-powered demand forecasting tool has experienced a 15% drop in accuracy over the past month, raising concerns about its reliability and effectiveness. This issue requires a thorough investigation to identify the root cause and implement appropriate solutions. I'll approach this problem systematically, examining various factors that could contribute to the decline in accuracy while considering both immediate fixes and long-term strategies to prevent similar issues in the future.

Step 1

Clarifying Questions (3 minutes)

• Given the recent nature of the accuracy drop, I'm wondering about any system changes. Have there been any updates to the AI model or data pipeline in the last 1-2 months?

Why it matters: Recent changes could directly impact the forecasting accuracy. Expected answer: Yes, there was a model update or data pipeline change. Impact on approach: If yes, we'd focus on validating the update's impact.

• Considering the complexity of demand forecasting, I'm curious about the data sources. Has there been any change in the quality or availability of input data from key sources?

Why it matters: Data quality is crucial for AI model performance. Expected answer: No significant changes in data sources. Impact on approach: If no, we'd look more closely at model and environmental factors.

• Thinking about the 15% drop, I'm wondering about the consistency of this decline. Is this drop uniform across all product categories and regions, or is it more pronounced in specific areas?

Why it matters: Helps identify if the issue is systemic or localized. Expected answer: The drop varies across categories/regions. Impact on approach: If varied, we'd focus on the most affected areas first.

• Reflecting on potential external factors, have there been any significant market disruptions or unexpected events in the past month that could affect demand patterns?

Why it matters: External events can significantly impact forecasting accuracy. Expected answer: No major market disruptions noted. Impact on approach: If no, we'd prioritize internal factors in our investigation.