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Analytica: Urban Grocers Data Analysis

A Data Science Analysis for the Unstop Competition

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1. Project Overview

This analysis evaluates the sales performance of Urban Grocers Pvt. Ltd. over two years in the Hyderabad market. Using a dataset of daily transactions, the study identifies key trends, measures the impact of promotions, and provides actionable insights to improve operations, profitability, and customer satisfaction.

2. Dataset and Features

The dataset contains 240,000 transaction-level records from 2023 and 2024.

Feature Description Data Type
Date Transaction date Date
Store_ID Supermarket identifier (A, B, C, D) Categorical
Transaction_ID Unique transaction identifier Numeric
Food_Category Product category (Bread, Milk, Fruits, Vegetables, Meat) Categorical
Units_Sold Number of units sold Numeric
Price_per_Unit Price per unit Numeric
Promotion Flag indicating promotion (0 = No, 1 = Yes) Binary
Holiday_Weekend Flag for holiday/weekend (0 = No, 1 = Yes) Binary
Weather Weather condition (Sunny, Rainy, Cloudy) Categorical
Mode_Purchase Payment method (Cash, UPI, Credit Card, Debit Card) Categorical

3. Key Insights

  • Peak Sales Periods: Identify high-sales days, weeks, and months.
  • Promotion Effectiveness: Evaluate how promotions impact sales.
  • Holiday & Weekend Impact: Understand which categories see sales uplift.
  • Volatile Stores: Determine stores with unpredictable demand.
  • Demand Forecasting: Predict future sales trends for key categories.
  • Investment Analysis: Assess the ₹20 crore investment against generated profit.

4. Team Members

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Analyzing Urban Grocers Pvt. Ltd data set and uncovering valuable insights.

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