How can Gelato improve its global print network to reduce delivery times for custom products?

Introduction

To improve Gelato's global print network and reduce delivery times for custom products, we need to analyze the current system, identify bottlenecks, and implement strategic solutions. I'll approach this challenge by examining user segments, pain points, and potential improvements across the entire production and delivery process.

Step 1

Clarifying Questions

• Looking at Gelato's business model, I'm thinking about the scale and diversity of their print network. Could you provide more information on the current size of Gelato's network and the types of print partners they work with?

Why it matters: Determines the scope of potential improvements and identifies areas for expansion or optimization. Expected answer: A network of 100+ print partners across 30 countries, ranging from small local shops to large industrial printers. Impact on approach: Would focus on standardization and quality control for diverse partners vs. centralized optimization for a more homogeneous network.

• Considering the custom nature of products, I'm curious about the current production workflow. Can you share details on how orders are routed to specific print partners and what factors influence this decision?

Why it matters: Helps identify potential inefficiencies in order allocation and production planning. Expected answer: Orders are routed based on product type, customer location, and partner capacity, with some manual intervention for complex orders. Impact on approach: Would prioritize automation and AI-driven routing vs. improving human decision-making processes.

• Given the global nature of the business, I'm wondering about the current delivery infrastructure. What shipping partners does Gelato work with, and how integrated are they with the print network?

Why it matters: Reveals opportunities for optimizing the last-mile delivery process. Expected answer: Partnerships with major global carriers, with varying levels of integration across different regions. Impact on approach: Would focus on deeper carrier integration and local partnerships vs. building out a proprietary delivery network.

• Thinking about customer expectations, I'm interested in understanding the current delivery time benchmarks. What are the average delivery times for different product categories and regions, and how do they compare to industry standards?

Why it matters: Establishes clear targets for improvement and highlights areas of competitive advantage or disadvantage. Expected answer: Average delivery times range from 3-7 days, with variations based on product complexity and destination. Impact on approach: Would prioritize improvements in underperforming categories or regions vs. a blanket approach to reducing delivery times.