Call tracking SaaSDialer systemAI transcriptionMulti-tenant CRM

CallLoom Dashboard Case Study

An inbound and outbound call tracking SaaS with dialers, recordings, AI transcription, routing, Stripe billing, webhooks and multi-tenant management.

Inbound + outbound

call flows supported

AI QA

recording transcription workflows

Multi-tenant

companies, users and permissions

Stripe

billing and subscription integration

Visit the live product Build something like this

CallLoom Dashboard dashboard sanitized project mockup

Privacy safe portfolio preview

CallLoom is a confidential production system. Screens shown here are sanitized or redesigned, and private client, company, recording, billing and call data are not exposed.

Client

US-based call operations company

My role

Full Stack Developer with major frontend ownership and backend module work

Project type

Call tracking SaaS, Dialer system, AI transcription, Multi-tenant CRM

Project Overview

CallLoom Dashboard is a large SaaS call tracking platform for inbound and outbound operations. It manages dialers, leads, recordings, call routing, QA review, transcription, billing, companies, agents, users, permissions, SMS, email and webhook-driven integrations from one production-ready system.

Business Problem

The business needed one powerful platform to track call logs, manage dialer activity, route calls across multiple paths, review recordings, search agent activity, generate leads, manage tenants and handle billing without scattered tools.

System Solution

I worked across the frontend and many backend modules to build a multi-tenant dashboard with call tracking, dialer logs, AI-assisted QA transcription, role-based access, Google authentication, two-factor authentication, Stripe billing, webhooks, SMS and mailing flows.

Developer notes

Why this call tracking saas project matters

As the full stack developer on this project, I connected the frontend experience, backend data flow, permissions and reporting screens into one practical product. The goal was not just to make a good-looking interface, but to create a system that helps real teams work faster, find records confidently and make better decisions from clean operational data.

Privacy approach

CallLoom is a confidential production system. Screens shown here are sanitized or redesigned, and private client, company, recording, billing and call data are not exposed.

AI assisted workflow

AI, Automation and Smart Workflow

This project uses practical automation patterns to reduce manual work, improve review speed and keep business data easier to manage. The exact private implementation is protected, but the portfolio preview explains the production value clearly.

AI-powered call recording transcription for QA review

Searchable voice-to-text call history for operations teams

QA workflow support for reviewing agent conversations faster