Adroitent

Real-Time Agent Tracking System for a Global BPO | Adroitent

Customer Story · Software Engineering

Every agent, in real time: 100% workforce visibility

How Adroitent built a real-time agent tracking system for a global BPO leader — live status, service-level monitoring and performance dashboards that let supervisors manage their workforce as it happens.

Real-time agent tracking dashboard for a global BPO customer support operation

The inflection pointScaling support without visibility

The customer is a global BPO leader in customer support, providing dedicated agents, advanced technology and customized strategies for innovative brands — scaling and optimizing customer experience through data-driven, brand-specific service solutions for a global clientele.

  • Delivering expansive customer support services to large, innovative brands at scale
  • Needed an effective real-time agent tracking system to boost efficiency
  • Required tighter control over a distributed workforce of agents
  • Service quality depended on supervisors seeing issues as they happened, not after
You can't manage a workforce you can't see in real time.

The interventionA real-time tracking system on .NET

Adroitent partnered with the customer to develop a real-time agent tracking system, significantly improving supervisors' ability to manage teams efficiently and lift overall productivity by tracking agent activity as it happens.

Architecture & development

  • Developed a scalable, efficient and secure architecture for real-time tracking
  • Designed and built the system end to end on .NET Core with SignalR

Live agent status

  • Real-time visibility of agent activity and availability
  • Snoozed status for agents on break, with alerts to supervisors when breaks overshoot

Service level monitoring

  • Supervisors track response times and customer wait times in real time
  • Immediate corrective action when service levels slip

Dashboards & reporting

  • KPI dashboards: call resolution time, CSAT, first-call resolution, average handling time
  • Custom reports aggregating agent performance, customer interactions and call quality

The game changer

Live data that drives live decisions

  • Supervisors make quick, informed decisions during peak and high-demand periods
  • Tasks assigned based on agent availability and proximity for faster response
  • Delays reduced in fast-paced environments like customer service and technical support
  • Resources optimally utilized across the workforce
.NET CoreSignalREntity FrameworkPostgresSQL

By the numbers

100% workforce visibility

Optimized agent performance

Improved decision-making

Higher customer satisfaction

By the numbers

100% workforce visibility

Optimized agent performance

Improved decision-making

Higher customer satisfaction

The payoffVisible, optimized, satisfied

Enhanced agent visibility & monitoring
Supervisors could track agent activities in real time, enhancing workforce visibility and monitoring by 100%.
Optimized agent performance
Real-time performance metrics and dashboards enabled supervisors to coach and correct in the moment, optimizing agent performance by 100%.
Improved decision-making
Real-time agent data enabled quick, informed decisions during peak times, with tasks assigned by availability and proximity for faster response.
Increased operational efficiency
Monitoring agent location, activities and status in real time ensured tasks were assigned efficiently and resources optimally utilized.
Enhanced customer satisfaction
Faster issue resolution and improved workforce task delegation contributed to significantly higher customer satisfaction.

The stack behind itTools & technology

.NET CoreSignalREntity FrameworkHTML / JavaScriptPostgresSQL

This engagement was delivered as part of Adroitent's Software Engineering Services practice.

Good to knowFrequently asked questions

What is a real-time agent tracking system?
A real-time agent tracking system gives supervisors live visibility of workforce status — who is available, on a call, on break or idle — along with performance metrics, so teams can be managed and tasks reassigned as conditions change rather than after the fact.
What is SignalR and when is it used?
SignalR is a .NET library for adding real-time web functionality. It pushes updates from server to connected clients instantly, without the client having to poll — making it well suited to live dashboards, notifications, chat and status-tracking applications.
What KPIs matter in contact center workforce management?
Common measures include average handling time, first-call resolution rate, call resolution time, customer satisfaction (CSAT), service levels such as response and wait times, and adherence to schedules and breaks.
Why is .NET Core used for enterprise applications?
​.NET Core is a cross-platform, high-performance framework with strong tooling, security and scalability. Enterprises use it for business applications and APIs that need reliable performance, straightforward integration and long-term maintainability.
How does real-time monitoring improve customer satisfaction?
When supervisors can see service levels slipping as it happens, they can reassign work, add capacity or coach agents immediately. Faster resolution and better task delegation reduce customer wait times and lift satisfaction.

See your operation as it happens.

Real-time systems that turn live data into better decisions.

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