Project Summary
The dataset contains shopping information from different shopping malls between 2021 and 2023 in Instanbul.It was gathered from various age groups and genders to provide a comprehensive view of shopping habits. The dataset includes essential information such as invoice numbers, customer IDs, age, gender, payment methods, product categories, quantity, price, order dates, and shopping mall names.
Project Overview:The Instanbull Mall Sales and Customer Analysis project aimed to harness Python’s data analysis capabilities to provide insights into sales performance and customer behavior at Instanbull Mall. The project sought to uncover trends, optimize marketing strategies, and enhance customer satisfaction by analyzing sales data and customer interactions.
- DELIVERABLES
- Developed a comprehensive Python-based dashboard to visualize sales trends and performance metrics, providing actionable insights into daily, weekly, and monthly sales data.
- Implemented data cleaning and preprocessing scripts in Python to ensure the accuracy and consistency of sales and customer data for analysis.
- Conducted exploratory data analysis (EDA) to identify key sales trends and customer purchasing patterns using Python’s Pandas and Seaborn libraries.
- Created interactive visualizations with Plotly and Dash to illustrate sales performance, customer demographics, and product category trends in an engaging format.
- ANALYSIS IMPACT
- The project delivered actionable insights that significantly enhanced the understanding of sales dynamics and customer behavior at Instanbull Mall. The interactive dashboard and detailed reports will enable the management team to make data-driven decisions, optimize marketing strategies, and improve customer engagement. The segmentation and analysis tools will provide a foundation for targeted marketing efforts, leading to increased sales and enhanced customer satisfaction.
