Dandy: AI-Powered Online Review Management for Businesses

Getdandy

Automatically Buy Back Time & Make More Money

INTRODUCTION

About This Project

CodeAutomation developed the Web, Internal tools and Bot that manages review of different platform including Google, implemented the CI/CD, and testing including manual and automation

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Overview

Dandy is an innovative software solution leveraging the power of Artificial Intelligence (AI) and Machine Learning (ML) to offer comprehensive management of online reviews. With Dandy, businesses gain the ability to not only monitor and analyze reviews but also take proactive steps to enhance their online reputation.Through advanced algorithms, Dandy identifies and categorizes negative reviews, enabling businesses to address them effectively. Additionally, the software provides options to craft personalized responses to reviews, helping to mitigate negative sentiment and demonstrate proactive customer service.

Industry

Business Management to optimized digital business

Service Type

Managed project, Staff Augmentation

Application Type

Website, Data Scrapping, Bot Development

Visit

https://getdandy.com/

Project Goals

Automate review management to help businesses improve their online reputations effortlessly.

Provide AI-driven solutions for monitoring, responding, and resolving negative customer feedback.

Enhance brand credibility by boosting positive reviews across multiple online platforms.

Tools and Technologies Used

Frontend

React & NestJs

Backend

NodeJs

Automation Testing

Selenium WebDriver

Cloud Services

AWS

Manual Testing

Web browsers, iOS/Android and BrowserStack

Database

MongoDB

Bot Development

Selenium WebDriver

Frontend

React & NestJs

Backend

NodeJs

Automation Testing

Selenium WebDriver

Cloud Services

AWS

Manual Testing

Web browsers, iOS/Android and BrowserStack

Database

MongoDB

Bot Development

Selenium WebDriver

Getdandy Web Features - Developed and Tested By CodeAutomation

Challenges Faced:

Automating Google Reviews Management with CodeAutomation's Bot: In google, it was hard to manage the reviews but CodeAutomation team developed the bot which was running automatically day and night to get the job done

Our Approach:

ReactJS: Our approach to ReactJS development centers on building robust, scalable, and maintainable applications that deliver exceptional performance and user experiences. We prioritize a deep understanding of React's core principles, ensuring that our team leverages React's virtual DOM and component lifecycle efficiently to prevent unnecessary re-renders and optimize performance.
Manual Testing: The QA team on our side performed troubleshooting tests that mimicked how real users would interact by taking user journeys, slayer upgrades, and the referral system to the forefront.
Automation Testing: The automated scripts were then designed to do the repetitious and the time consuming tests thus the shorter testing cycle helped other facets of the development process. Selenium Webdriver, and JUnit were used for this.
Release Management: The strategy of, release management process, came in place to keep those coded-back features and updates along the way smooth enough so that it minimizes any kind of effect on users.

Results:

Web into AI: Convert the Web into AI and ALM to improve the digital business for small and medium customers

Conclusion:

The GetDandy project showcased the successful collaboration between our development and QA teams in delivering a loyalty solution. The seamless integration, comprehensive testing, and effective release management contributed to the project's success, resulting in increased loyalty and lifetime value for GetDandy clients. The utilization of tools like Jira played a crucial role in managing and streamlining the testing process.