3i Data Scraping’s Post

Swipe through to see how Zomato, one of the leading food delivery platforms, harnesses the power of Data Analytics to serve up success! 🍽️📊 From personalized recommendations to menu optimization, discover the data-driven strategies that keep Zomato at the top of the food chain. #dataanalytics #skillcase #data

🔍 Delighted to share my latest exploration – the Swiggy Funnel Analysis project! 🍔📊 Investigating the intricacies of food delivery dynamics, I meticulously dissected the Session Details sheet to discern shifts in order numbers. From scrutinizing traffic variations against the same day last week to assessing overall conversion rates against historical data, this project provides a nuanced understanding of the online food ordering landscape. 💡 The journey involved formulating hypotheses to elucidate fluctuations in conversions, with each assumption meticulously validated using supporting data. 💻 📈 Key Insights: 1️⃣Order Trends: Revealing shifts in order numbers through a detailed analysis of Session Details. 2️⃣Traffic Patterns: Investigating traffic fluctuations, benchmarked against the same day last week. 3️⃣Conversion Analysis: Assessing overall conversion rates and identifying patterns compared to previous dates. 4️⃣Hypothesis Validation: Crafting and rigorously validating hypotheses to explain variations in conversion rates. 🤝 Your insights into this analysis are highly valued! Let's engage in a conversation about data-driven insights in the realm of online food delivery. 🍕📈 Explore the project on GitHub(https://lnkd.in/gfxZsdFx) for a deeper dive into the analysis. #DataAnalysis #FunnelAnalysis #SwiggyInsights #BusinessIntelligence #DataDrivenDecisions

Discover how Swiggy and Zomato are transforming food delivery using data science. From personalized recommendations to efficient logistics, explore the tech behind your favorite meals! #datasciencecommunity #machinelearningengineer #machinelearningalgorithms #medium #dunandbradstreet #swiggy #zepto #zomato #uber #blinkit #tigeranalytics #delivery #bigbasket

Case Study: 📊 Transforming Food Delivery with Swiggy In today's fast-paced world, convenience and efficiency are paramount. With the rise of on-demand services, companies like Swiggy have revolutionized the food delivery industry, offering customers a seamless experience and empowering restaurants to reach a broader audience. What I discovered : 🥘 Top Culinary Trends: Unearthed the most beloved cuisines and top restaurants serving it! 💰 Sales and Growth : Sales growth of Swiggy monthly, riven by increased order volumes, strategic partnerships, and enhanced monetization avenues. 🎭 Loyality of Customers : Data driven results on which restaurants have the maximum repeated customers. Why is it important? Through the analysis of data the insights could streamline the ordering process, enhance delivery logistics, and improve customer service. Tech Toolbox: SQL and BigQuery MS Excel for data cleaning. ♻ Dataset Source: Youtube ♻ Information source: Google, Wikipedia #businessanalysis #bigquery #swiggy

"Excited to share our latest Power BI analysis on Swiggy ratings! 📊 We've delved deep into the data to uncover valuable insights into customer sentiments and trends across various restaurants on Swiggy. From analyzing the distribution of ratings to tracking review trends over time, our interactive dashboard provides a comprehensive overview of Swiggy's performance. With visually appealing charts and intuitive filters, stakeholders can easily explore the data and gain actionable insights to enhance customer satisfaction and drive business growth. Whether you're a restaurant owner, food enthusiast, or industry analyst, this analysis offers valuable insights into the factors influencing customer experiences on Swiggy. Join us in uncovering the stories behind the ratings and shaping the future of food delivery! Check out our Power BI report for a deep dive into Swiggy's rating landscape. Let's empower data-driven decision-making and strive for excellence in the food delivery industry together. 🚀 Thanks to you Trainer Shail S ! #Swiggy #PowerBI #DataAnalysis #CustomerExperience #FoodDelivery #BusinessInsights #Restaurantratings "

Ever wondered how Swiggy consistently delivers your favorite meals on time? Or how they introduce new food options that seem to perfectly match your tastes? The secret ingredient is DATA! _______________________________________ 🔍 Case Study Insights: _______________________________________ ➡️Predictive Analytics for Delivery: Swiggy uses data-driven algorithms to predict the time it takes for your food to be prepared. Combined with real-time traffic data, they ensure that your meal reaches you piping hot every time. ➡️Personalized Recommendations: By analyzing your order history and preferences, Swiggy suggests new restaurants and dishes you're likely to enjoy. It's like having a personal food consultant! ➡️Optimizing Supply Chain: Using data insights, Swiggy identified peak order times and areas with high demand. This helped them partner with local restaurants and cloud kitchens to reduce delivery times and increase customer satisfaction. ➡️Feedback Loop: Every review you leave, good or bad, feeds into Swiggy's system. They analyze customer feedback to continuously improve and ensure top-notch service. It's no surprise that Swiggy is a leader in the food delivery space. Their commitment to being a data-driven business has not only optimized their operations but also enhanced our dining experiences. So, next time you order from Swiggy, know that there's a powerful data engine working behind the scenes, making sure you have a delightful meal every time! 🍔📲 #dataanalytics #casestudy #swiggy #datadrivenbusiness #foodtech #DataAnalytics #DataScience #Analytics #BigData #DataVisualization #AI #MachineLearning

Hello Connections 👋✨ Excited to share my today task on food delivery time prediction analysis using Power BI! 📊 🍔 Analyzing data trends, optimizing routes, and enhancing customer experience. 💡🚚 Problem Statement: Predicting the delivery time of your order is a challenging task for every food delivery service like Zomato and Swiggy. conclusion: 🍔One of the best strategies to predict the delivery time is by calculating the distance between the point of picking up the order and the point of delivering the order. And then predicting the delivery time based on how much time your delivery partners took to deliver orders in the past for the same distance.💡🚚 Special thanks to the expert trainer Shail S for the guidance to do this task. #PowerBI #DataAnalysis #FoodDelivery #PredictiveAnalytics #dataanalytics #linkedinconnections

An interesting read! 📖 Just came across this fascinating article on how food delivery giant Swiggy uses Machine learning to provide us with an accurate delivery time which is very important in making order decisions. 💡 In this fast-paced era, the ability to accurately predict food delivery times is a game-changer. 🕒🍕 It not only enhances customer experience but also optimizes operational efficiency for delivery platforms. The article explores the innovative approaches and cutting-edge algorithms employed by the team at Swiggy to predict delivery times with astonishing precision. 📊 From analyzing traffic patterns to factoring in order preparation time, this article highlights the complex dance of data and technology that powers the food delivery we often take for granted. This is a great reminder that behind every food delivery at our doorstep is a mix of advanced algorithms and hardworking teams striving to make our lives easier Do give it a read! #fooddelivery #predictivetechnology #onlineorder #machinelearning #neuralnetworks https://lnkd.in/eNiPNjwR

🚀 Excited to share a new milestone in my data analytics journey with Zomato! 🎉 We've developed a comprehensive Network Analysis Dashboard using Power BI and DAX, featuring: 🌟 Average Ratings: Gain insights into customer preferences and satisfaction. 🌍 Countries & Cities: Explore the geographical distribution of Zomato's reach. 🍽️ Cuisine Slicer: Dive deep into the popularity of various cuisines across different regions. This powerful tool enhances our understanding of the global food landscape and helps us make data-driven decisions to improve user experiences. #PowerBI #DAX #DataAnalytics #Zomato #FoodTech #NetworkAnalysis #DataScience #BigData #DashboardDesign #CustomerInsights #GlobalReach #FoodIndustry #TechInnovation #DataDriven #CustomerExperience #TechForGood #ivyproffesionalschool

How Swiggy Masters Delivery Time Predictions with Machine Learning? ~~~~~~~~~~~~~~~~~~ Excellent case study to take a look at if you are preparing for a data science role. ~~~~~~~~~~~~~~~~~~ The article underscores the importance of precise delivery time estimates for both customers and Swiggy, highlighting the significance of meeting customer expectations. It elaborates on the various factors affecting delivery time, including restaurant type, the number of items ordered, and the distance between the restaurant and the delivery location. Swiggy implements a multi-input, multi-output deep learning model with entity embeddings to predict delivery time, leveraging advanced technology for more accurate estimates. The article concludes by discussing the impressive results of this machine learning model, revealing a 30% improvement in the accuracy of delivery time predictions. With more accurate delivery time predictions, Swiggy can enhance the overall customer experience, ensuring a smoother and more satisfying food delivery process. https://lnkd.in/geYEh_vB #data #datascience #machinelearning #analytics #swiggy