⚡ 3x Faster Implementation
Connect Machines. See the Truth. Act in Real Time.
eresource ERP + IoT bridges your shopfloor and backoffice—auto-logging runtime & status, predicting failures, optimizing energy, and unlocking machine-wise performance KPIs.
Why eresource + IoT?
Three core advantages that set our IoT integration apart from standalone
monitoring solutions
Native to Operations
Tight wiring to Production, Maintenance, Quality, Inventory, and Finance—no swivel-chair integration needed.
Real-Time Decisions
Streamed machine data triggers workflows—WO creation, QC holds, reorder spares automatically.
Faster ROI
Cut downtime, energy cost, and scrap with actionable insights—not just pretty charts.
Implementation Accelerators
Pre-built templates and tools to speed up your go-live
Integration with Sensors & Machines
Connect PLCs, CNCs, presses, conveyors, utilities, and energy meters- Protocols: OPC UA, Modbus/TCP, MQTT, MTConnect, REST
- Edge gateway with store-and-forward for patchy networks
- Secure key management, device inventory, and health monitoring
Auto-Log Machine Status & Runtime
No manual stopwatches—true machine timeline tracking- States: RUN / IDLE / STOP / FAULT / SETUP / CHANGEOVER
- Auto shift tagging; operator annotations; reason codes
- Accurate runtime, idle time, micro-stops, and cycle counts
Predictive Maintenance using IoT
From reactive to proactive in one release cycle- States: Signals: vibration, temperature, current, pressure, oil quality
- Anomaly scores & Remaining Useful Life (RUL) estimates
- Auto-create Maintenance Work Orders with suggested tasks & spare kits
- MTBF/MTTR improvement tracking
Energy Consumption Analysis
Make every kilowatt count with detailed energy insights- kWh per machine/line/shift/product; peak demand alerts
- Energy per good part & energy cost variance vs standard
- Carbon footprint estimator (kg CO₂e) and load-shedding recommendations
Machine-wise Performance Metrics
KPIs that operations actually use for decision making- OEE (Availability, Performance, Quality)
- Cycle time vs standard, speed loss, first pass yield
- Scrap & rework rate, alarms per hour, tool-life utilization
- Heatmaps: bottlenecks, chronic idlers, bad actors
How It Works
Simple 5-step process from device connection to actionable insights
Connect
Add devices via OPC UA/Modbus/MQTT; map tags to standard signals (state, count, energy, alarm).
Ingest & Normalize
Edge gateway cleanses data, applies time sync, compresses bursts, and forwards securely.
Enrich in ERP
eresource links telemetry to Orders, Lots, Workcenters, Shifts, Operators.
Act
Rules trigger alerts, CAPA, QC holds, WO creation, material reorder, or schedule adjustments.
Learn
Dashboards & models continuously update KPIs and predictive thresholds.
Ready-to-Ship Dashboards
Pre-built layouts that deliver instant value with global filters, drill-downs, and
auto-refresh capabilities
Shopfloor Live (Andon)
Output vs target, state timeline, losses ticker
Predictive Health
RUL list, risk levels, next service ETA
OEE by Line/Workcenter
OEE tiles, Six Big Losses pareto
Energy Intelligence
kWh/unit trend, peak alert panel, cost per SKU
Machine Performance
Cycle time variance, micro-stops, alarm frequency
Downtime Root Causes
Pareto by reason, shift, product
Quality in Process
FPY/RTY overlays with machine states
Maintenance Impact
Downtime vs PM compliance, top bad actors
Dashboard Features
- Global filters & drill-downs
- CSV/PDF export
- Auto-refresh (15/30/60s)
Deep ERP Integrations
Why IoT works best when tightly integrated with your ERP system
Native to Operations
Tight wiring to Production, Maintenance, Quality, Inventory, and Finance—no swivel-chair integration needed.
Maintenance
Predictive alerts → WO with task list, spare kit, technician skill match; post-repair verification run.
Quality
Alarm spikes → Hold Lot; SPC overlay with machine state context; CAPA linkage.
Inventory
Tool-life & spare consumption; min/max auto-PR for critical parts.
Finance
Downtime & energy cost per SKU/order; variance vs standard for costing.
Azaalea AI (optional)
Natural-language insights (“Why did OEE drop on Line-3 last night?”) and recommended actions.
Why eresource + IoT?
Three core advantages that set our IoT integration apart from standalone
monitoring solutions
Secure by Design
TLS in transit, role-based access, device key rotation, audit trail
Reliable Operation
Edge buffer with store-and-forward; replay & deduplication
Read-Only Default
Writes back only via approved ERP workflows
Multi-Plant Scale
Partition by tenant/plant/line for enterprise deployment
Real Results
Proven outcomes from manufacturing companies using eresource IoT integration
25-40%
Reduction in unplanned downtime on constrained assets
8-15%
Less energy per good unit within 60–90 days
+3-7 pts
OEE improvement from micro-stop visibility
<2 min
To see true state after an alarm with auto-annotations
*Results vary by process mix and implementation scope
Do we need new sensors?
Often no—use existing PLC tags; add low-cost sensors where gaps exist.
Will it work offline?
Yes—edge buffers and syncs later.
Which machines are supported?
Any with OPC UA/Modbus/MTConnect or via retrofit kits.
Is custom modeling possible?
Yes—bring your model or use built-ins for anomaly/RUL.
How long to go live?
Pilot in 2–4 weeks on a few assets, then scale.
Ready to Connect Your Machines to eresource ERP?
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