Pay on Foot Auto-pay Station Project for a Shopping Mall in Malaysia

Case Study: Pay on Foot Auto-pay Station Project for a Shopping Mall in Malaysia

Product Overview

This project implemented a Pay on Foot Auto-pay Station, specifically designed to optimize the parking flow during peak hours and reduce long payment queues. The system operates without the need for human attendants, significantly cutting down labor costs for the shopping mall.

Problems Addressed

1. High traffic during peak hours: During busy times, the parking lot experiences heavy traffic, and traditional manual payment booths often result in long wait times for customers, negatively impacting their overall shopping experience.
2. High labor costs: The mall used to employ multiple staff members to handle parking payments during peak times, which increased operating costs and created management challenges.
3. Preventing employee misconduct: By using self-service payment machines, the mall has eliminated the potential for corruption or mismanagement of funds by payment staff.
   

Implementation

The project was implemented in May 2023 at a large shopping mall in Malaysia. Our team completed the installation, testing, and system integration within just two weeks, ensuring the smooth operation of the parking facility with minimal disruption.

Project Outcomes

1. Improved traffic flow: After installing the self-service machines, the average payment time for customers decreased from 3-5 minutes to less than 1 minute, significantly improving traffic flow and reducing congestion at the parking exits.
2. Reduced labor costs: The mall reduced the number of payment attendants, saving approximately 15% in annual labor costs and eliminating issues related to employee turnover.
3. Enhanced user experience: Customers now have multiple payment options, including cash, credit cards, and e-wallets, which greatly enhances the convenience of the system.
4. Financial transparency: All payment data is automatically uploaded to the mall’s management system, enabling real-time revenue monitoring and eliminating the possibility of human interference, ensuring financial transparency.
   

Through this project, our self-service payment machines have successfully optimized the parking management process for the mall, enabling a more efficient and intelligent operation model, and providing a valuable example for similar parking projects.