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Dunzo Deep Sales Analysis: Store & Region Insights

By Ashik Akthar | Published on Feb 20, 2025

Overview

Dunzo's sales performance varies across different stores and regions. A deep analysis of transaction data, customer behavior, and operational efficiency helps identify potential growth areas and areas for improvement

Key Sales Metrics Analyzed

  • Sales Volume: Number of orders and revenue generated per store and region
  • Average Order Value (AOV): The average amount spent per transaction
  • Customer Retention Rate: Percentage of repeat customers
  • Order Fulfillment Time: Average time taken to process and deliver an order
  • Cancellation & Return Rate: Percentage of orders canceled or returned
Inventory Loss Graph Inventory Loss Graph

Store-Level Sales Insights

Store: Dunzo Chennai – T. Nagar

  • High-Selling Categories: Groceries (35%), Beverages (20%), Personal Care (15%)
  • Peak Order Timings: 7 PM – 10 PM (dinner & essentials demand)
  • Repeat Customers: 60% of sales come from loyal customers
  • Operational Bottlenecks:
  • High cancellation rates due to stock unavailability
  • Delayed deliveries in peak hours due to rider shortages
Inventory Loss Graph Inventory Loss Graph

Regional Sales Performance

Comparing sales across different regions helps understand location-based preferences

Inventory Loss Graph

Basket size and Volume

more than 70% of the order under Rs.400

Inventory Loss Graph Inventory Loss Graph

Potential Growth Opportunities

  • Stock Optimization: Improve demand forecasting to reduce cancellations
  • Rider Allocation: Deploy more delivery partners in peak hours
  • Personalized Promotions: Offer region-specific discounts based on high-demand categories
  • Order Fulfillment Time: Average time taken to process and deliver an order
  • Subscription Model: Encourage repeat purchases with exclusive deals for loyal customers

Action Plan for Improvement

1. Short-Term Strategies: Increase stock availability, optimize rider shifts

2. Long-Term Strategies: Implement AI-driven demand forecasting, introduce hyperlocal pricing models

Key Outcomes & Achievements

1

Figured 40% of evening orders are categorized as dinner cooking

2

The cancellation rate for evening orders is high, exceeding 60% due to stock availability