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skapichy/GlowCare-Retail-Sales-Analysis-1

Domain:

socioeconomic
Creator:
ska
Host:
This project aims to evaluate GlowCare’s retail sales performance across organized stores in Lagos, Nigeria, from January 2023 to December 2025. The analysis supports data-driven commercial, operational, and strategic decisions by uncovering key insights into store performance, product profitability, customer behavior, and sales trends. # GlowCare-Retail-Sales-Analysis-1 This project aims to evaluate GlowCare’s retail sales performance across organized stores in Lagos, Nigeria, from January 2023 to December 2025. The analysis supports data-driven commercial, operational, and strategic decisions by uncovering key insights into store performance, product profitability, customer behavior, and sales trends. # 🧠 Business Insights - The analysis delivers actionable insights across multiple dimensions: ## 1. Top-Performing Stores - Shoprite Ikeja City Mall, Shoprite Festival Mall, and Shoprite The Palms lead in total sales. - These stores also show high average order values (AOV), indicating strong customer spending per transaction. ## 2. Sales vs. Profitability - Despite high sales, stores like Jendol Ikorodu and Shoprite Adeniran Ogunsanya operate with lower profit margins (~29%), suggesting tight cost control or pricing strategies. ## 3. Product Performance - GlowCare Body Scrub, Face Cream, and Body Lotion are the most sold products by quantity. - GlowCare Body Scrub also tops profitability, followed by Face Cream and Facial Cleanser. ## 4. Category Revenue Drivers - Skin Care generates the highest revenue, followed by Body Care and Bath Care. ## 5. Location-Based Sales - Ikeja is the best-performing location with ₦27.39M in total sales. - Other strong locations include Festac, Lekki, and Alakuko. ## 6. Sales Trends Over Time - Monthly sales fluctuate with visible peaks and troughs. - Year-on-year growth shows a decline in 2024 (-7%) and recovery in 2025 (+6%). ## 7. Customer Payment Behavior - Payment methods are evenly distributed: Transfer (34.2%), POS (33.2%), and Cash (32.6%). ## 8. Discount Impact Analysis - Contrary to expectations, higher discounts correlate with lower average quantity sold, suggesting that discounts may not effectively boost volume. # 📊 Summary of Analysis Workflow - Data Preprocessing - Loaded CSV dataset. - Checked for missing values and duplicates. - Converted …

Visit

github.com

Licenses

MIT