How can we explain the declining average load size for Uber Freight's less-than-truckload shipments in the Midwest region since last week?

Introduction

The declining average load size for Uber Freight's less-than-truckload (LTL) shipments in the Midwest region since last week presents a complex challenge that requires systematic analysis. To address this issue, I'll employ a structured approach to identify potential root causes, validate hypotheses, and develop both short-term and long-term solutions.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might be a seasonal factor at play. Has there been any significant change in shipping patterns or volume compared to the same period last year?

Why it matters: Seasonal trends could explain short-term fluctuations in load sizes. Expected answer: No significant seasonal changes observed. Impact on approach: If seasonal, we'd focus on optimizing for cyclical demand.

• Considering the specificity of the issue, I'm curious about the exact definition of "declining average load size." Can you provide more details on how this metric is calculated and if there have been any recent changes to the measurement methodology?

Why it matters: Ensures we're addressing the correct issue and not a data anomaly. Expected answer: The metric hasn't changed; it's calculated by total freight volume divided by number of shipments. Impact on approach: If the metric is consistent, we'll focus on operational factors rather than measurement issues.

• Given the regional focus, I'm wondering if there have been any recent changes in local regulations or infrastructure in the Midwest that might affect LTL shipments?

Why it matters: External factors could be driving the decline in average load size. Expected answer: No significant regulatory or infrastructure changes noted. Impact on approach: If external factors are ruled out, we'll concentrate on internal processes and market dynamics.

• Considering potential system issues, have there been any recent updates to the load matching algorithm or pricing model for LTL shipments in the Midwest?

Why it matters: Technical changes could inadvertently affect load sizes. Expected answer: A minor update was made to the load matching algorithm two weeks ago. Impact on approach: If a system change is involved, we'll prioritize technical investigation and potential rollback.