Getdandy (Ai Product)

getdandy

The Brief

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

Software

Technology

AI & ML

Service

Software that Remove Bad Reviews

Visit

https://getdandy.com/

getdandy

Project Scope:

Dandy is an AI and ML-based software that provides options to remove bad reviews, replies to the reviews, and getting customer information using QR codes

Technologies used:

  • ReactJS: ReactJS, often referred to simply as React, is a declarative, component-based library for building user interfaces. It allows developers to create reusable UI components and manage their state efficiently. React follows the component-based architecture, where the UI is divided into small, self-contained components, each responsible for a specific part of the interface.
  • NestJS: NestJS is a powerful framework that combines ease of use with a strong architectural foundation, making it a compelling choice for many Node.js developers looking to build enterprise-grade applications.
  • NodeJS: Node.js is an open-source, cross-platform JavaScript runtime environment that executes JavaScript code outside a web browser. Node.js was developed to fill a particular need for an easy way to build scalable network programs.
  • Automation: Automation refers to the technology by which a process or procedure is performed with minimal human assistance. It involves the use of various control systems for operating equipment such as machinery, processes in factories, boilers, and heat treating ovens, switching in telephone networks, steering and stabilization of ships, aircraft, and other applications with minimal or reduced human intervention.
  • AI Tools: AI tools development refers to the process of designing, building, and implementing software applications that leverage artificial intelligence to perform tasks that would normally require human intelligence.

Challenges Faced:

  • AI Tools: Developing AI tools comes with challenges, including ethical considerations like privacy, bias in AI models, and the displacement of jobs. Technical challenges include managing large datasets, choosing the right algorithms, and ensuring that AI systems are secure and scalable.
  • ReactJS: Working with ReactJS presents several challenges, particularly as applications scale in complexity and size. Performance optimization can be a major hurdle, as developers need to manage unnecessary re-renders and optimize component loading to ensure smooth user experiences.
  • Comprehensive Testing: Multiple aspects of the system implementing diversity in general, as well as collectibles, and referrals were considered as potential problems. There were test drives that revealed some problems which were then ironed out before the solution went live.

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:

  • Reliable Functionality: Effective interviewing process, where both manual and automated testing were incorporated, created reliable loyalty features that did not lead to any problems with errors or issues.
  • Increased Loyalty and LTV: GetDandy’s started undoubtedly as a loyalty solution which subsequently resulted in increased customer loyalty and improved customer lifetime value for businesses.

Tools Used for Project & Test Case Management:

Jira is a project management software used for tracking tasks, issues, and projects, facilitating collaboration and improving productivity within teams.

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.

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USA: 30 N Gould St Ste 7596, Sheridan, WY, 82801

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