Project Overview
Dandy was envisioned as an NLP-driven tool that could weed out negative reviews from across platforms and progressively filter and remove spammy or false reviews.
Dandy was envisioned as an NLP-driven tool that could weed out negative reviews from across platforms and progressively filter and remove spammy or false reviews.
Fake reviews cost businesses $150+ billion a year. Dandy was looking to create a platform that helps businesses remove false and negative reviews to keep their reputation intact. They wanted to do this by removing fake or negative reviews and generating new positive reviews to help merchants win more customers. Alex Bellini, founder of Dandy, approached us to build a solution that automates review management.
Businesses thrive on reviews. While good reviews encourage customers, a bad or false review can drive them away, impacting their reputation and revenue goals.
Dandy helped businesses address this issue through effective review management.
But only a completely automated review management system could help them scale to the next level and onboard new merchants with a broader customer base.
Upon research, we found that customers who might benefit from Dandy have an ever-increasing customer base spanning across several platforms. This meant that feedback could come from anywhere, which can not always be catered to on a timely basis.
So there were three major challenges we needed to figure out to develop Dandy:
Affordable, quick and professional. You guys have done a great job, and I defintely recommend Dandy for anyone looking for negative review management tool.
Owner, Atlantic Homes
Dandy is now one of the most scalable review management systems in its market segment. The tool has already processed more than 200,000 reviews in just a week.