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Development of a Centralized Recruitment Management Platform with Automated Billing and Real-Time Analytics

codedistrict.com

Business services

Information technology

Challenges with Spreadsheet-Based Recruitment Management

Reliance on Google Sheets caused fragmented data, synchronization errors, manual billing processes with frequent mistakes, lack of real-time executive insights, and operational scalability limitations. Security vulnerabilities and inefficient recruiter workflows further hindered growth.

About the Client

Recruitment firm specializing in talent acquisition for private equity, venture capital, and midmarket industries

Objectives for Implementing a Centralized Recruitment Platform

Automate complex billing processes with client-specific rules
Enable real-time performance and recruitment progress monitoring
Centralize data management with cross-platform consistency
Provide customizable workflow tools for client-specific requirements
Support scalable growth through modernized infrastructure

Core System Functionalities and Key Features

User-defined fields (dropdowns, text inputs, radio buttons)
Automated billing with dynamic fee structures and commission calculations
Real-time dashboards integrated with Tableau
Centralized master database with secondary reporting database
Automated invoice generation with PDF/Excel export capabilities

Technology Stack and Infrastructure

Cloud-based web platform

Relational database management system (primary/secondary architecture)

Frontend framework for dynamic UI components

System Integration Requirements

Tableau for data visualization
Payment processing gateway
User authentication system

Performance and Security Requirements

High-availability database architecture
Role-based access control (RBAC)
Data validation and format consistency checks
Scalable infrastructure for 200k+ records
Low-latency real-time dashboard updates

Expected Business Impact of the New Recruitment Platform

60% reduction in manual administrative effort, elimination of billing errors through automation, improved executive decision-making with live operational metrics, enhanced recruiter productivity through customizable workflows, and foundation for scalable growth through centralized data architecture.