IoT-Enabled Custom Software for a Smart Workspace Solutions Pioneer
Overview
Our client, Space Matrix, is one of the pioneers of smart workplace development and management. With offices in Singapore and the U.S., the company caters to India, Australia, and 80 other countries. The company approached OrangeMantra with a unique idea and focus to deliver sustainable and future-ready workplace solutions. The client wanted to create a mobile application that can enable users to interact with the smart workspace and manage desired actions.
Real Estate
AI/IoT/Emerging Tech , Mobile Apps
Our Process
Our team developed Java, Swift, and PHP-based applications for web & mobile, having several user-driven modules that are interconnected and enable visitors, employees & managers to control different aspects of the office. The top features of applications include a meeting scheduler, employee & visitor access automation, parking access control automation, pantry services automation, desk & food booking, Indoor route finder, in-app communication & announcements, and many more.
The solution thrives on staggering real-time workspace data and allows users to leverage office commodities through a next-gen app solution. Besides, our team customized beacon & IoT integrated real-time data automation solutions to implement indoor path navigation, appliance controlling, parking & office access authentication for visitors, workspace services request launcher, and more. Also, the workspace data analytics solution generates valuable insights to help employers to find areas of improvement in office space.
Requirement Analysis
Our team started with in-depth discussions with client team to understand their specific project needs and even suggested technology suite for app development.
Prototyping
Rapid prototype was developed to experience the user interface and functionality, making sure it aligns with the client expectations.
Testing
Rigorous testing was carried out for functionality, security, and performance optimization, resolving issues identified during the testing work.
Deployment
Next phase involved slow rollout strategy to eliminate disruption and performance issues, allowing for real-time feedback and customization.
