This repository contains the data analysis and business insights derived from Upliance.ai's user behavior, cooking preferences, and order trends. Upliance.ai, India's first AI cooking assistant, leverages innovative technology to simplify cooking and improve user satisfaction.
The analysis utilizes data from three primary datasets: UserDetails, CookingSessions, and OrderDetails. The findings provide actionable insights to enhance user experience and drive strategic business growth.
- Analyze the relationship between cooking sessions and user orders.
- Identify the most popular dishes across different meal types.
- Understand the impact of demographic factors on user behavior.
- Create visualizations to effectively communicate the findings.
- Propose data-driven business recommendations.
- Contains user profiles, including age, location, and cooking preferences.
- Details cooking session durations, dish names, and user ratings.
- Includes order history, meal types, revenue, and order ratings.
- Dinner: Grilled Chicken and Spaghetti dominate.
- Breakfast: Pancakes lead over Oatmeal.
- Lunch: Caesar Salad outperforms other options.
- Age peaks in activity: 28 years (young professionals) and 42 years (established adults).
- Evening is the busiest time for orders, generating the highest revenue.
- Session Optimization: Focus on enhancing engagement in longer cooking sessions (35+ minutes).
- Age-Targeted Marketing: Develop campaigns for young professionals and family-oriented features for established adults.
- Meal-Specific Enhancements: Expand dinner and breakfast recipes; introduce quick lunch prep for office-goers.
- Time-Based Features: Optimize evening cooking support and introduce quick-start morning recipes.
- Correlation Analysis: Session duration vs. user ratings.
- Time-Based Order Trends: Orders and revenue by time of day.
- Dish Preparation Times: Average cooking durations for breakfast, lunch, and dinner.
- Python: Data preprocessing, analysis, and visualization.
- Pandas & NumPy: Data manipulation.
- Matplotlib & Seaborn: Graphical representation of insights.
For more information, please reach out to Balakrishna R at balakrishnar120@gmail.com.