Industry SolutionsManufacturing Software Development
Manufacturing software that connects the shop floor to the office: IoT sensor data, production tracking, quality management aligned with ISO 9001 processes, and maintenance scheduling.
- Fiverr
- 5.0 · 126 reviews
- Own product
- Workspace369
- Fixed-price offers from
- $450
What We Deliver
Manufacturing Solutions We Deliver
01
Production Planning (MES)
Manufacturing Execution Systems with real-time work order tracking, resource allocation, and production scheduling.
02
Inventory Management Systems
Real-time inventory tracking with demand forecasting, reorder point optimization, and warehouse management integration.
03
Quality Control Platforms
Statistical process control (SPC), inspection management, and non-conformance tracking aligned with ISO 9001 requirements.
04
Supply Chain Optimization
End-to-end supply chain visibility with supplier performance scoring, lead time analytics, and risk monitoring.
05
IoT Sensor Integration
Real-time data collection from PLCs, SCADA systems, and IoT sensors with edge computing for low-latency processing.
06
Predictive Maintenance Systems
ML-driven equipment health monitoring that predicts failures before they occur, scheduling maintenance during planned downtime.
How it works
Our Development Process
Short sprints with a working demo at the end of each one mean you see progress early and can change priorities before they become expensive.
Discovery
We analyze your vision, goals, and competitive landscape to craft a solution roadmap. This phase typically runs 1-2 weeks and defines the full project scope.
Design
Intuitive UI/UX crafted with interactive prototypes. Prototypes let you test the flow with real users before any code is written.
Development
Expert engineering using Flutter, Vue.js, Node.js, and GCP in 2-week Agile sprints with weekly milestone demos for full transparency.
Launch & Support
Reliable deployment with crash and uptime monitoring and ongoing maintenance. Maintenance plans run during business hours, Monday to Friday.
Our Technology Stack
- Flutter
- TypeScript
- Node.js
- GCP
- Firebase
- Vue
- JavaScript
- Python
Questions
Frequently Asked Questions
How does IoT integration improve manufacturing efficiency?
IoT sensors capture real-time data from equipment including vibration, temperature, pressure, and throughput metrics. This data is streamed to analytics platforms that detect anomalies, predict failures, and optimize process parameters in real time. Our edge computing architecture processes time-sensitive data locally while streaming aggregated metrics to cloud dashboards for plant-wide visibility.
Can manufacturing software integrate with existing ERP systems like SAP or Oracle?
Yes, we build integration layers using SAP RFC/BAPI connectors, Oracle REST APIs, and middleware platforms that synchronize production orders, inventory levels, and quality data bidirectionally. Our integration approach preserves existing ERP workflows while adding real-time manufacturing intelligence.
What is predictive maintenance and how does it reduce costs?
Predictive maintenance uses ML models trained on equipment sensor data to forecast component failures before they cause unplanned downtime. The system recommends maintenance during scheduled windows, preventing costly emergency repairs. Our models analyze vibration patterns, thermal signatures, and power consumption to detect degradation weeks before failure occurs.
How does custom MES software support ISO 9001 compliance?
ISO 9001 requirements are embedded directly into production workflows, including document control, calibration tracking, non-conformance management, and CAPA (Corrective and Preventive Action) processes. Every production step is logged with timestamps, operator IDs, and quality measurements for full traceability. The system generates audit-ready reports automatically.
Your Development Partner
Simon Dziak
I build every manufacturing software development project myself, with Flutter and Firebase, and I personally ensure every project meets the highest standards.