How can we enhance Rappi's grocery delivery experience to reduce food waste?

Introduction

To enhance Rappi's grocery delivery experience and reduce food waste, we need to take a holistic approach that considers the entire ecosystem of users, suppliers, and operational processes. I'll outline a strategic plan to address this challenge, focusing on key pain points and innovative solutions that can make a significant impact.

Step 1

Clarifying Questions (5 mins)

• Looking at Rappi's current market position, I'm thinking about the scale of operations. Could you provide insights into the number of daily grocery orders and the percentage of those orders that typically result in food waste?

Why it matters: This helps quantify the problem and potential impact of our solutions. Expected answer: Around 100,000 daily grocery orders with 15-20% resulting in some form of food waste. Impact on approach: A high percentage would prioritize user education and inventory management solutions.

• Considering the competitive landscape, I'm curious about Rappi's unique value proposition in grocery delivery. What are the key features that differentiate Rappi from other players in the market?

Why it matters: Helps align our solutions with Rappi's core strengths and brand identity. Expected answer: Rappi offers faster delivery times and a wider selection of local stores. Impact on approach: Would focus on leveraging these strengths in our food waste reduction strategies.

• Thinking about user behavior, I'm wondering about the typical order patterns. What's the average order size, and how frequently do users place grocery orders through Rappi?

Why it matters: Informs our understanding of user purchasing habits and potential areas for intervention. Expected answer: Average order size of $50, with users ordering 2-3 times per month. Impact on approach: Would tailor solutions to fit these purchasing patterns, possibly encouraging more frequent, smaller orders to reduce waste.

• Considering Rappi's technology stack, I'm curious about the current level of AI and predictive analytics implementation in the grocery delivery system. How advanced are Rappi's current forecasting and inventory management capabilities?

Why it matters: Determines the feasibility of implementing advanced technological solutions. Expected answer: Basic predictive analytics in place, but significant room for improvement. Impact on approach: Would prioritize enhancing AI capabilities for better demand forecasting and inventory management.