Project Description
Pell Software worked with Ascent Pro Staffing to create a web portal that would create a more dynamic and efficient workflow for their staff. Due to the nature of their work, APS utilizes multiple softwares that requires their team to switch back and forth too much. With the new web application, via custom API integrations, our development team enabled the APS team to have one easy-to-use system to allow them to more easily complete their day-to-day tasks.
Pell Software developed a fully custom, cloud based, enterprise level workflow management portal that is intended to make each employee’s day to day workload more manageable and organized. We have been working with the APS team over a large period of time, breaking down the project into multiple phases. This has allowed the APS team to have features delivered to them quickly and consistently!
The main functional components of the system are integrating a bulky and non-user-friendly system with the web portal. This client operates a large call center and dispatching team that work around the clock. Therefore, ensuring our engineering team delivered a reliable system and top notch customer service was always of the utmost importance.
Major Features
- Custom workflow portal with enterprise level functionality.
- Granular admin controls, permissions and role management, Office 365 Single Sign On integration, and much more to allow Admin users to manage the system and change settings accordingly.
- API integration with the client’s call management system: Talkdesk.
- API integration with the client’s ticket management system: Reach24.
- Within the portal, the APS team is able to easily search for new and existing events.
- Includes robust searching and filtering including a custom date filter to be sent with all JB Hunt API Incident search requests to ensure only recent requests are sent back.
- Training environment for all new employees.
- The system includes a standalone Training Environment to allow the Ascent Pro Staffing team to train new users of the portal using test data and mocking some common scenarios with sample data.
