Project Overview
FE CRM is a multi-tenant lead and policy management system for centers that need to upload sheets, fetch data from other software, manage leads, track policy status, calculate chargebacks and organize monthly performance.
A multi-tenant CRM for lead generation, sheet uploads, centre-wise tracking, monthly filters, policies, chargebacks and agent-client calculations.
Multi-tenant
centers and companies managed
Sheets
year and month-wise uploads
Policies
client, agent and chargeback tracking
Filters
center, date and status workflows
Privacy safe portfolio preview
Screens are sanitized. Client names, policy records, chargeback data and center performance details are confidential and not exposed.
Client
Mars BPO
My role
Full Stack Developer for lead workflows, data imports, filters and policy calculations
Project type
CRM, Lead tracking, Multi-tenant SaaS, Policy management
FE CRM is a multi-tenant lead and policy management system for centers that need to upload sheets, fetch data from other software, manage leads, track policy status, calculate chargebacks and organize monthly performance.
The business needed to bring data from other systems into one CRM, upload center-wise and year-wise sheets, filter monthly records and accurately manage client policies, chargebacks, cashback and agent-related calculations.
I built structured CRM workflows for leads, center-wise data, sheet uploads, monthly filters, policy records, cashback, chargeback tracking and calculations connecting clients, agents and policy status.
Developer notes
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.
Screens are sanitized. Client names, policy records, chargeback data and center performance details are confidential and not exposed.
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.

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