Clutch4.8/5 ★★★★★
Madgeek
Contact CentreCustom SoftwareAI / MLOperations Automation

Call Center Operations & Lead Management Platform

Enterprise client

50+

agents managed on custom platform

A large contact centre with 50+ agents faced quality control gaps, inconsistent agent performance, and manual lead tracking that slowed operations. Madgeek built a custom call center management platform integrating Vicidial and Ytel PBX, automated call recording, script automation, and real-time conversion analytics. The result was reduced call waiting times, improved agent consistency, and sharper visibility into lead quality and conversion performance.

Why off-the-shelf call center software was not enough

The contact centre operated with 50+ agents across multiple campaigns, but the existing tools — a patchwork of CRM, dialler software, and spreadsheets — could not keep up. Lead assignments were manual. Performance data was fragmented across systems. Supervisors had no single view of agent activity, lead status, or campaign performance. The result was inconsistent quality, lost leads, and no operational visibility at scale.

What does a custom call center operations platform need to handle?

  • Lead ingestion from multiple sources with automated distribution based on campaign, agent skill, and availability
  • Real-time agent performance tracking across calls, conversions, and quality scores
  • Campaign management with configurable workflows, scripts, and disposition codes
  • Supervisor dashboards with live views of agent activity, queue depth, and conversion rates
  • Automated escalation rules for stalled leads, missed follow-ups, and underperforming agents
  • Reporting that separates agent performance from lead quality — raw conversion numbers alone are misleading in contact centres

How the call center operations platform works

Automated lead distribution

Leads flow into the system from multiple sources and are automatically assigned based on campaign rules, agent skill profiles, and current workload. Round-robin and weighted distribution ensure even coverage. Priority leads route to top-performing agents. The manual assignment process that previously consumed supervisor time was eliminated entirely.

Real-time performance dashboards

Supervisors see live dashboards showing agent status (on call, available, break, after-call work), queue depth, conversion rates by campaign, and quality score trends. The dashboard refreshes in real time — not end-of-day reports, but live operational data that allows in-shift adjustments.

Campaign workflow management

Each campaign has configurable workflows: call scripts, disposition codes, follow-up rules, and escalation triggers. New campaigns can be configured and launched without engineering involvement. Script variations can be tested across agent groups to identify what performs best.

Quality and compliance tracking

Every call is logged with disposition, duration, outcome, and quality indicators. Compliance checks — required disclosures, opt-out handling, do-not-call list enforcement — are built into the workflow. Supervisors can flag calls for review and track coaching follow-through.

The result: 50+ agents managed on a single platform

50+ agents operating on one unified platform with full visibility into lead flow, agent performance, and campaign metrics. The fragmented toolset that previously required manual coordination was replaced entirely.

Supervisor time spent on manual lead assignment and report compilation dropped significantly. Lead response time improved because automated routing eliminated the gap between lead arrival and agent assignment. Campaign performance became measurable and comparable for the first time.

Technical details

  • Multi-source lead ingestion with automated distribution rules
  • Real-time WebSocket-based dashboards for supervisor monitoring
  • Configurable campaign workflows with script management
  • Quality tracking with compliance checks built into call flows
  • Role-based access: agents, supervisors, and administrators
  • Built with Node.js, React, PostgreSQL, deployed on AWS

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