Author: DataZivot

Analyze how Uber Eats reviews in Singapore reveal the real reasons behind customer churn and loyalty. Datazivot’s review mining exposes the top retention drivers. For brands, cloud kitchens, and QSR... Read More

Explore how Yelp review mining helps U.S. restaurant chains uncover service issues, improve menu strategy, and track local sentiment in real time with Datazivot. At Datazivot, we help local chains... Read More

Discover how brands identify product flaws and feature gaps by scraping negative reviews from Walmart with Datazivot’s advanced review analytics tools. At Datazivot, we help brands extract and analyze negative... Read More

Uncover what Indian buyers are really saying on Flipkart using review scraping by Datazivot. Get real-time product insights & sentiment for eCommerce success. At Datazivot, we help brands decode these... Read More

Learn how Datazivot helped a U.S. tech brand improve customer experience by scraping Amazon reviews to uncover product issues and drive smarter improvements. This case study explores how Datazivot helped... Read More

DataZivot’s NLP sentiment analysis turns 1Million Online reviews into real-time insights to boost brand reputation and drive smart business decisions. A global enterprise with diversified business units in retail, hospitality,... Read More

Discover how U.S. brands use Amazon reviews and sentiment analysis to predict product returns with Datazivot’s eCommerce review scraping and insights. At Datazivot, we specialize in mining Amazon reviews to... Read More

Discover how scraping Swiggy reviews helps detect food quality, delivery issues, and brand performance trends across India in real-time with Datazivot. At Datazivot, we specialize in scraping and analyzing Swiggy... Read More

Learn how Datazivot helps UAE restaurants track brand reputation using Talabat review scraping. Detect food issues, delivery gaps & customer sentiment in real time. With customers increasingly ordering from Talabat,... Read More