Introduction

innRoad is a comprehensive hotel management solution designed to empower hoteliers with the tools they need to efficiently run their business and maximize revenue. With a suite of features and functionalities, innRoad offers a holistic approach to managing all aspects of hotel operations seamlessly. At its core, innRoad facilitates online booking, allowing guests to easily make reservations directly through the hotel's website or other online booking channels. This feature not only enhances the guest experience but also helps hotels increase their direct bookings, reducing dependency on third-party booking platforms and saving on commission fees.  

Industry

SaaS - Hospital and Property management

Service Type

Staff Augmentation

Application Type

SaaS - Website

Visit

https://www.innroad.com/

Tools & Technologies Used

Frontend

Angular & NestJS

QA Testing

Playwright

Backend

C Sharp

Design Process

Agile with Figma

Project Management

Jira & TestRail

Communication

Slack & Skype

innRoad Web Features

Developed and Tested By CodeAutomation

Project Overview

innRoad is a hotel management solution to help you manage your business by providing various options including online booking, property management, global distribution, revenue management, and lots more.

Client Background

InnRoad is a comprehensive property management software provider, offering cloud-based solutions for hotel and lodging businesses to streamline operations, enhance guest experiences, and increase revenue through integrated booking, management, and reporting tools.

We Provided

We provided innRoad with services in development, C#, backend, frontend, automation, manual testing, and team leadership. Our comprehensive approach ensures robust software solutions, efficient operations, and enhanced system performance and reliability.

Web App Testing

InnRoad web application testing were performed on web browsers Chrome, Safari, and Firefox. Along with the physical mobile web browsers of iOS and Android and Browserstack.

Types of Testing

Automation Testing
Cross Browser Testing
Performance Testing

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: Inroad's started undoubtedly as a loyalty solution which subsequently resulted in increased customer loyalty and improved customer lifetime value for businesses.

Conclusion:

The InnRoad 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 InnRoad clients. The utilization of tools like Jira played a crucial role in managing and streamlining the testing process.