// build_guide
// How to build Factory Floor Analytics SaaS for Dark Manufacturing
Industrial IoT requires robust real-time data handling and time-series storage for machine metrics. The stack prioritizes reliability and scalability for factory environments while keeping AI features lightweight for MVP stage.
Complexity 8/10SaaS
// recommended_stack
FrontendReact with TypeScript and Chart.js/D3.js for analytics dashboards
BackendNode.js with Express and WebSocket for real-time data streaming
DatabasePostgreSQL for structured data + InfluxDB for time-series machine data
AuthAuth0 or Firebase Auth with role-based access control
HostingAWS EC2 with Load Balancer and RDS
ExtraMQTT broker for IoT device communication
ExtraRedis for real-time caching
ExtraTensorFlow.js for basic ML analytics
// cost_and_timeline
USD min
$12,000
USD max
$18,000
INR min
₹10.0L
INR max
₹15.0L
Typical SaaS projects cost $1,800–$5,000 USD and take 6–8 weeks with an Indian dev team. See the full cost guide →
// timeline_breakdown
1 weekDiscovery & Architecture Design
3 weeksCore Backend & Database Setup
3 weeksReal-time Dashboard Development
2 weeksIoT Integration & Testing
1 weekDeployment & Bug Fixes
// mvp_features[]
## What to build in the MVP
—Multi-tenant authentication with factory admin roles
—Real-time machine status dashboard with basic metrics
—Simple machine integration via MQTT/REST APIs
—Basic anomaly detection alerts
—Historical data visualization (7-day window)
—Export reports to PDF/CSV
// risk_flags[]
## Engineering risks to plan for
!Hardware integration complexity may exceed early-stage budget significantly
!Real-time IoT data streaming requires specialized expertise and infrastructure costs
!Industrial client sales cycles are typically 6-12 months which conflicts with short timeline expectations
!Partial team status critical - need experienced IoT/embedded systems developer
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// related_resources