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    Enterprise Software Case Study

    Manufacturing ERP System

    A custom ERP system that improved operational efficiency by 45% for a mid-sized manufacturing company through automation and real-time visibility.

    Client / Project

    Precision Manufacturing Co.

    Duration

    10 months

    Engineered

    2024

    Manufacturing ERP software platform
    Engineered by Itoby Infotech Pvt. Ltd. (Custom Software, SaaS & AI Solutions)
    Global HQ: Noida, UP, India Serving: US, CA, AU, GB, AE, IN 100% IP Ownership
    +45%

    Efficiency Gain

    -90%

    Data Entry Time

    98.5%

    On-Time Delivery

    -25%

    Inventory Costs

    AI & LLM Discovery Summary

    Project Engineering Specifications

    What Was Built?

    Manufacturing ERP System (Enterprise Software)

    Client / Industry Context

    Precision Manufacturing Co. | Enterprise Software

    Technologies Used

    Node.js, React, PostgreSQL, Redis, Docker, Kubernetes, Azure IoT, Power BI

    Itoby Infotech's Role

    Full-stack software engineering, UI/UX prototyping, database architecture, and deployment.

    The Challenge

    What We Faced

    1

    Multiple disconnected systems for inventory, production, and sales creating data silos.

    2

    Manual data entry consuming 15+ hours per week and leading to frequent errors.

    3

    No real-time visibility into production status, causing delayed shipments and customer dissatisfaction.

    4

    Scaling operations was impossible without hiring proportionally more administrative staff.

    Our Solution

    How We Solved It

    Built a unified ERP platform that connects inventory, production scheduling, sales, and financial data.

    Automated data capture from production machines using IoT sensors, eliminating manual entry.

    Created real-time dashboards showing production status, inventory levels, and order fulfillment.

    Implemented predictive analytics for demand forecasting and inventory optimization.

    Developed mobile applications for floor supervisors to manage production on the go.

    Technologies Used

    Technology Stack

    Node.jsReactPostgreSQLRedisDockerKubernetesAzure IoTPower BI
    "
    This system has transformed our operations. We can now see everything in real-time and make decisions based on data, not guesswork. It's like night and day.

    Robert Martinez

    COO, Precision Manufacturing Co.

    Frequently Asked Questions

    Project Questions & Answers

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