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Delivery Operations with Job Management


Delivery vehicles play a crucial role in the logistics industry, as they transport goods from one location to another. Managing delivery schedules and tracking deliveries can be a challenging task, especially for businesses that have a large fleet of vehicles. Job module software can help simplify and streamline these tasks.


Courier transport companies often rely on manual processes to assign jobs to their drivers, leading to delays, errors, and inefficiencies in job allocation.

Without a centralized system, route planning is challenging, resulting in suboptimal routes, increased fuel consumption, and inefficient resource utilization.

Lack of real-time visibility into job status and driver locations hinders effective tracking, monitoring, and timely customer communication.


Job Delivery challenges


The implementation of our job management software helped address these challenges. 

  • The software automates the job assignment process, considering factors like driver availability, location, and job priority. This ensures efficient and timely allocation of jobs to the appropriate drivers.
  • With real-time visibility into delivery schedules and status updates fleet managers got each and every update of their delivery. 
Real time job module
  • Drivers were assigned delivery tasks through the software, and customers also receive real-time updates on the status of their deliveries via email or SMS.
  • The software optimized delivery routes and schedules, reducing fuel consumption and improving the overall efficiency of delivery operations. 
Job Notification
job module delivery topology
cloud processing


  • Realtime Delivery Tracking: By implementing job module software, businesses effectively managed their delivery schedules and tracked deliveries in real-time. 
  • Increased Effencicy: This lead to improved customer satisfaction, reduced delivery times and increased efficiency in delivery operations. 
  • Improved Accuracy: The automation of delivery management also helped reduce the risk of errors and improve the accuracy of delivery schedules and status updates.
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