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Custom ERP System Development for Manufacturing Efficiency

bilberrry.com

Manufacturing

Information technology

Challenges with Legacy ERP System

Pasco Machine faces operational inefficiencies due to their legacy ERP system's bloated feature set (95% unused), manual reporting processes requiring PDF management, delayed customer support response times, paper-based time tracking leading to $30,000+ annual costs, and lack of integration with QuickBooks accounting software.

About the Client

Precision machining and manufacturing services provider specializing in custom parts production

Project Goals for Custom ERP Development

Create a streamlined, requirements-based ERP system eliminating unnecessary features
Implement real-time reporting capabilities within the platform
Integrate electronic time tracking to reduce paper costs
Establish two-way synchronization with on-premise QuickBooks
Improve user adoption through intuitive workflow design

Core System Functionalities

Multi-step work order flow with wizard interface
Real-time dashboard with filtering capabilities
Integrated electronic time tracking system
PDF export functionality with version control
Custom middleware for QuickBooks integration
Role-based access control for sensitive data

Technology Stack Preferences

React.js for front-end interface

Node.js with Express for backend services

AWS cloud infrastructure

PostgreSQL database

System Integration Requirements

QuickBooks Desktop API integration
Existing scheduling calendar system
Time tracking hardware interfaces

Non-Functional Requirements

High availability (99.9% uptime)
Role-based security controls
Scalable architecture for future growth
Cross-browser compatibility
Response time under 2 seconds for core operations

Expected Business Impact

Projected reduction of manual administrative tasks by 60%, elimination of $30,000+ annual paper costs, 75% decrease in report generation time, improved accounting team efficiency through direct ERP integration, and enhanced operational visibility via real-time data analytics.