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SCOPE GENERATED·complexity: [████████░░] 8/10
PROJECTFactory Floor Analytics SaaS for Dark Manufacturing
RATIONALEIndustrial 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.
TECH 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
ExtrasMQTT broker for IoT device communication, Redis for real-time caching, TensorFlow.js for basic ML analytics
MVP FEATURES
✓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
DEFERRED (v2)
○Advanced AI predictive maintenance
○Complex multi-factory management
○Mobile native apps
○Advanced custom integrations
○Detailed machine learning models
○Enterprise SSO integration
TIMELINE
1 weekDiscovery & Architecture Design
3 weeksCore Backend & Database Setup
3 weeksReal-time Dashboard Development
2 weeksIoT Integration & Testing
1 weekDeployment & Bug Fixes
COST ESTIMATE
USD$12,000 – $18,000
INR₹10.0L – ₹15.0L
⚠ RISK FLAGS
!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
SHARE YOUR SCOPE
Public link: stackpick.in/s/saas-manufacturing-saas-see-10k-e1b3
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