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Product Management Improvement Question: Enhancing Delhivery's real-time tracking system for accurate ETAs

How can Delhivery enhance its real-time tracking system to provide more accurate ETAs?

Product Improvement Medium Member-only
Data Analysis Product Strategy User Experience Design Logistics E-commerce Supply Chain
Data Analytics Customer Experience Logistics Real-Time Tracking ETA Optimization

Introduction

To enhance Delhivery's real-time tracking system for more accurate ETAs, we need to analyze the current system, identify pain points, and develop innovative solutions. I'll outline a comprehensive approach to address this challenge, focusing on user needs, technological improvements, and data-driven decision-making.

Step 1

Clarifying Questions (5 mins)

  • Looking at Delhivery's position in the logistics market, I'm thinking about the scale of operations. Could you provide insights into the daily volume of deliveries and the geographic spread of operations?

Why it matters: Determines the complexity of the ETA prediction problem and potential solutions. Expected answer: Millions of daily deliveries across diverse regions in India. Impact on approach: Would focus on scalable, AI-driven solutions that can handle high volumes and geographic variability.

  • Considering the current tracking system, I'm curious about the data sources being used. What types of data are currently feeding into the ETA predictions?

Why it matters: Identifies potential gaps in data collection and opportunities for improvement. Expected answer: GPS data from delivery vehicles, historical delivery times, and basic route information. Impact on approach: Would explore integrating additional data sources like real-time traffic, weather conditions, and package-specific attributes.

  • Thinking about user expectations, I'm wondering about the current accuracy of ETAs. What's the average margin of error in the current system, and what's the target we're aiming for?

Why it matters: Establishes a baseline and helps set realistic improvement goals. Expected answer: Current margin of error is +/- 2 hours, aiming to reduce it to +/- 30 minutes. Impact on approach: Would focus on incremental improvements and managing user expectations through transparent communication.

  • Considering the competitive landscape, I'm interested in understanding Delhivery's unique selling proposition. How does our current tracking system compare to major competitors in terms of features and accuracy?

Why it matters: Helps identify areas for differentiation and prioritize improvements. Expected answer: On par with most competitors, but lacking some advanced features like live map tracking. Impact on approach: Would prioritize innovative features that set Delhivery apart while improving core accuracy.

Tip

Let's take a quick minute to organize our thoughts before moving on to user segmentation.

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