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📊 AtliQ Mart Promotion Analysis

🎯 Problem Statement

AtliQ Mart, a retail giant in southern India with over 50 stores, ran festive promotional campaigns during Diwali 2023 and Sankranti 2024 on its branded products. The Sales Director, Bruce Haryali, seeks actionable insights to assess the effectiveness of these promotions and guide future strategies.


🏢 Domain

  • Industry: Fast-Moving Consumer Goods (FMCG)
  • Function: Sales / Promotions
  • Role: Data Analyst (You are Peter Pandey 👨‍💻)

📌 Objectives

  1. Analyze promotional performance during the festive periods.
  2. Extract actionable insights from the data and present them clearly.
  3. Respond to ad-hoc executive queries using SQL-based reporting.
  4. Deliver a dashboard and presentation for the Sales Director.

📂 Project Structure

  • metadata/: Dataset description and schema
  • recommended_insights.pdf: Strategic tips from manager Tony Sharma
  • ad_hoc_requests.pdf: Business questions from executives
  • dashboard.png: Final visual dashboard
  • presentation.pptx: Executive-level insights & recommendations
  • sql_queries.sql: All SQL scripts used in the analysis

✅ Tasks Completed

🔍 Data Understanding

  • Explored all datasets and verified schema from metadata.
  • Mapped key fields like base_price, promo_type, city, quantity_sold, and campaign_name.

📈 Dashboard Design

  • Designed a self-explanatory and interactive dashboard summarizing:
    • Revenue before vs. after promotions
    • Store distribution across cities
    • ISU% by category during Diwali
    • Top 5 products by Incremental Revenue %
    • High-value BOGOF products

🧠 Insights Extracted

Insight Type Key Finding
🛍️ Promotions Diwali campaign had the highest revenue lift: ₹82.57M → ₹160.29M
📦 Top Performing Categories Home Appliances & Combo1 had the highest ISU%
💸 Top IR% Products Atliq Home Essential Combo (IR% = 136%)
🏷️ High-Value BOGOF Bedsheets & Immersion Rods priced above ₹1000 in BOGOF
🏬 Store Concentration Bengaluru has the highest store count (10 stores)

📄 Ad-hoc Reports

  1. BOGOF + Base Price > ₹500
    → 2 products identified: Bedsheet Set and Immersion Rod

  2. Store Count by City
    → Top 3 cities: Bengaluru (10), Chennai (8), Hyderabad (7)

  3. Campaign Revenue Impact

    Campaign Before After
    Diwali ₹82.57M ₹160.29M
    Sankranti ₹58.13M ₹87.70M
  4. ISU% Ranking (Diwali)

    1. Home Appliances – 244%
    2. Combo1 – 202%
    3. Home Care – 80%
  5. Top 5 Products by IR%

    • Home Essential Combo: 136%
    • Waterproof Immersion Rod: 83%
    • High Glo LED Bulb: 81%

🖥️ Tools & Tech Stack

  • SQL: For ad-hoc business reports
  • Excel / Power BI / Tableau: For dashboard creation
  • Presentation: Executive summary and insights

📌 Deliverables

  • ✅ Promotion Impact Dashboard
  • ✅ Executive-Level Presentation
  • ✅ SQL Reports for Ad-hoc Questions
  • ✅ Recommendations based on data insights

💡 Recommendations

  • Prioritize combo deals & home appliances during festive sales.
  • Reassess discounting on high-value products like bedsheets.
  • Expand store presence in high-performing cities.
  • Track ISU% and IR% metrics in real-time for future campaigns.

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Here I have uploaded the my work on code_basics challenge 9

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