Real-Time Booking Platform Development for a Hospitality Startup

Book2Meet is building the future of meeting space management, giving easy transparent online environment for users’ meeting needs. With over 32,000 spaces in 15 countries and a large selection of venues in Belgium, France, Germany, the United Kingdom and the Netherlands, users can search as broadly as a whole country, or as narrowed down as a city landmark.

Hospitality Dedicated Development Team Software Product Development UI/UX Cloud Solutions DevOps High Load Systems Java Benelux
  • Location Belgium
  • Industry Hospitality
  • Partnership period 2014 – present
  • Team size 9 people
  • Services Dedicated Development Team, Software Product Development
  • Expertise delivered UI/UX, Cloud Solutions, DevOps, High Load Systems
  • Technologies Back-end: Java, Java 8, Spring stack (MVC, Data, Security), JAX-RS, Maven, JSP; Front-end: React JS, Grunt, jQuery, Bootstrap, HTML5, CSS3; Infrastracture & DB: Cloud, MongoDB, Amazon Web Services, Terraform, Ruby, Tomcat

Book2Meet is the leading player on meeting space real-time booking across Europe.

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PRODUCT OVERVIEW

Book2Meet platform

Book2Meet platform allows to explore your options with 32,000 spaces in 7,500 European venues, narrow your choice by meeting duration, distance from your preferred location, features and budget, to adjust your options and make the booking.

book2meet

The platform allows to book spaces by hour and offers a standardized cancellation policy that is easy to understand.

We are very proud of the team in Ukraine and believe we have the right people to take this project beyond our expectations.

Thierry Vermeiren , CEO, Book2Meet
PARTNERSHIP OVERVIEW

N-iX fully provided Book2Meet with web competency to design and implement the complex booking application from architecture design to final implementation and testing.

The team successfully solved a range of technical challenges during the project:

  • Managed to deliver a complex application with fast search algorithms by moving to NoSQL infrastructure with clustering mechanism.
  • Found a solution to find the best matching results and quickly reserve space for the users.
  • Found a way to make users well informed about suggested locations and suggest similar proposals around any supported location.

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