Should Convoy prioritize expanding its carrier network to increase shipping capacity or focus on improving its load matching algorithm for existing carriers?

Introduction

The trade-off question at hand is whether Convoy should prioritize expanding its carrier network to increase shipping capacity or focus on improving its load matching algorithm for existing carriers. This scenario involves balancing growth with optimization in a digital freight marketplace. I'll analyze this trade-off by examining the product ecosystem, potential impacts, key metrics, and experimental approaches to inform a strategic recommendation.

Step 1

Clarifying Questions (3 minutes)

• Context: I'm assuming Convoy is facing capacity constraints. Is this due to rapid growth in shipper demand outpacing carrier acquisition, or are there seasonal factors at play?

Why it matters: Helps determine if this is a short-term or long-term challenge. Expected answer: Combination of growth and seasonal peaks. Impact: Would influence the urgency and scope of our solution.

• Business Context: Based on typical freight marketplace models, I'm thinking revenue is primarily from take rates on successful shipments. How does our current take rate compare to the industry average, and is there pressure to adjust it?

Why it matters: Affects the financial implications of our decision. Expected answer: Slightly below average with pressure to increase. Impact: Might lean towards improving matching efficiency to justify higher take rates.

• User Impact: I'm assuming our primary users are shippers and carriers. Are we seeing any significant churn or satisfaction issues with either group?

Why it matters: Identifies which side of the marketplace needs more attention. Expected answer: Some carrier dissatisfaction due to inefficient matching. Impact: Could prioritize algorithm improvements over network expansion.

• Technical: Considering the complexity of load matching, I'm curious about our current algorithm's performance. What's our current match rate, and how does it compare to manual brokers?

Why it matters: Establishes the potential gain from algorithmic improvements. Expected answer: Slightly better than manual, but significant room for improvement. Impact: High potential gains might favor focusing on the algorithm.

• Resources: Given the two options, I'm wondering about our current team composition. Do we have more capacity in our carrier acquisition team or our data science team?

Why it matters: Helps assess the feasibility of each option. Expected answer: Stronger data science team, but carrier acquisition is scaling. Impact: Might influence which option can be executed more quickly and effectively.