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Employee Transport Management Solutions

19 Nov , 2014,
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EMS

Employee Transport Management System is a web-based transport management solution that streamlines and manages employee pick up/drop off. With GPS tracking technology, the solution provides, real-time tracking, employee notification, and analytic’s to improve operational efficiency. The solution is aimed at improving employee satisfaction by reducing employee wait time for pick-up by providing the ability to locate and track their pick-up vehicle. Transport departments could also realize efficiencies by monitoring utilization, travel-times etc. and re-routing

The Solution

The transport admin has to define each route referring to previous day’s route history. She/he can then identify pickup/drop off points on the route and mark/name them. These locations are automatically geo-coded into the system. Next step is to identify the employees to be picked up at these pick-up points.

Once this setup is done, the transport admin’s daily routine is to assign buses to these routes. Notification to employees etc. is automatically handled.

All employees that are entered in the system receive real time tracking URL in a welcome message one hour prior to scheduled pick-up. Another SMS alert is sent to the employee twenty minutes(as required) before pickup along with vehicle status (on-time or delayed). This helps reduce the waiting time for employees and helps them plan their time efficiently.

To further improve security and logging usage, employee ID cards can be swiped at embark/disembarkation points. This information is tied to the employee database in correlating employee attendance and female safety by ensuring at least one male colleague is accompanying a lady employee at any point of time. Panic buttons installed in the vehicle help alerting the admin in case of any emergency.

Analyze and Optimize

The Employee Transport Management System once the system has been installed and in use, collects a lot of data regarding the routes, utilization, pick-up/drop-off, travel time and distance. This data can then be analyzed to identify inefficiencies and correct them, re-engineer routes to improve utilization and reduce travel time etc.

 

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