Zomato Restaurant Analysis Project By Akash.pptx
- 2. INTRODUCTION Objective: Analyze Zomato restaurant data to uncover insights. Key Focus Areas: Restaurant distribution Average price analysis Customer ratings & reviews Popular cuisines City-wise trends
- 3. DATA CLEANING & PREPROCESSING Challenges: • Data contained null values, special characters in the field, currency was not distributed as per the countries. Steps Taken: • Removed null values • Standardized currency & location data • Categorized price ranges • Removed Special Characters in the field
- 4. OVERVIEW Dataset Overview: Number of restaurants: 9551 Number of Countries : 15 Number of Cities : 141 Number of Cuisines : 1826 Average Rating of all the restaurant ; 2.89
- 5. OBSERVATIONS • Out of 9551 restaurants 1.73K(22.57%) restaurants provides Online Delivery whereas 5.92k(77.43%) don’t have the online delivery system • Out of 9551 restaurants 1.03K(13.64%) restaurants provides table booking whereas 6.49k(86.36%) don’t have the table booking facility For India • Out of 8652 restaurants 1.7K(25.04%) restaurants provides Online Delivery whereas 5.1k(74.96%) don’t have the online delivery system • Out of 8652 restaurants 0.98K(14.75%) restaurants provides table booking whereas 5.68k(85.25%) don’t have the table booking facility
- 6. • Countries which don’t provide online delivery and table booking facility are : Indonesia, Canada, New Zealand, Brazil, Singapore, Sri Lanka Turkey, United States. • In the year 2018 most restaurants were opened (i.e 1102)whereas least restaurants opened in the year 2012(1022) • New Delhi has the most restaurant 5473
- 7. Highest count at Rating 1 (2.1K restaurants) •A significant number of restaurants received the lowest rating. •This could indicate dissatisfaction, poor service, or bad food quality for a large segment. Sharp drop to nearly 0 at Rating 2 •There is almost no representation at a rating of 2. •This suggests that restaurants either receive very low or moderate-to-good ratings, skipping the middle ground. Gradual rise in Ratings 3 to 4 (around 0.5K each) • Ratings 3 and 4 have a similar number of restaurants (~500 each). •This indicates that a moderate number of restaurants are rated average to slightly above average. Slight decline toward Rating 5 •Only about 0.1K (100 restaurants) received a perfect 5-star rating. •This suggests that very few restaurants achieve the highest rating, possibly due to high customer expectations.
- 8. Average cost for two • Restaurants with Average cost for 2 between 0-100 bucket are 0.4k • Highest i.e 500+ average cost there are 3.4k restaurants. • Most restaurants fall into the 500+ category, suggesting market concentration at the higher end. • The middle categories (201-500) have a balanced distribution • This analysis suggests that a significant portion of restaurants have a high volume of Price, possibly due to chain restaurants or high operational scale
- 10. Summary •India dominates the restaurant count. •The majority of restaurants do not offer online delivery or table booking. •North Indian cuisine is the most popular. •Restaurant openings have been consistent, peaking in 2011 and 2018. •The average rating is relatively low (2.89), indicating room for improvement in customer satisfaction
- 13. Competitor & Market Analysis for the Low rating Restaurants 🔹 Competitor Benchmarking: Compare restaurant performance (ratings, reviews, orders) against competitors. 🔹 Customer Segmentation: Identify high-value customers and repeat buyers to improve loyalty programs. 🔹 Regional Expansion Opportunities: Identify cities/countries with high potential but low restaurant penetration. Customer Behavior & Satisfaction 🔹 Customer Feedback Analysis: Identify common complaints or positive reviews to improve service. 🔹 Loyalty & Retention Metrics: Track repeat customers and analyze their average spending patterns. 🔹 Order Trends by Time of Day: Identify best-selling dishes and peak ordering times
- 14. Restaurant Performance & Profitability 🔹 Identify Underperforming Restaurants: Compare ratings, reviews, and sales data to detect struggling locations. 🔹 Cost & Profit Analysis: Track expenses, food costs, and delivery charges to optimize pricing strategies. 🔹 Most Profitable Cuisines & Dishes: Identify high-margin cuisines and promote them accordingly. Business Growth Strategy 🔹 Franchise & Expansion Strategy: Identify high-potential cities/countries for launching new branches. 🔹 Strategic Marketing Plan: Use historical trends to optimize advertising budgets and promotions. 🔹 Delivery & Logistics Optimization: Improve delivery efficiency by analyzing delivery times and costs.
- 15. Thank You