Manufacturing margins sit at 5–15%. Energy prices rose 7% in 2025 and are projected to keep climbing. Yet across industrial facilities, 40% of every dollar spent on electricity is wasted —...
Track, analyze, and optimize energy consumption across your entire facility with AI-powered real-time intelligence. Detect anomalies, forecast demand, reduce energy costs by up to 30%, and achieve sustainability goals — all from one unified platform.
AI flags energy anomalies in real time.
Predict consumption with 95%+ accuracy.
Automated CO₂ and ESG reporting.
Connect meters, PLCs, sub-meters instantly.
Hourly Consumption (kWh)
IoT meters capture real-time data from every machine and utility system.
ML algorithms detect anomalies, learn patterns, and identify waste instantly.
Instant notifications on spikes, phantom loads, and cost-saving opportunities.
Automated load balancing, peak shaving, and continuous ROI tracking.
Monitor every machine, line, and utility system from a single screen. Drill from plant-wide to individual asset — live.
↓ 15% vs Yesterday
Consumption by Zone
ML learns each asset's energy baseline and flags abnormal spikes, phantom loads, and degradation — triggering alerts in under 5 seconds.
Energy Pattern — Last 8 Hours
Deep learning forecasts demand 24–72h ahead with 95%+ accuracy. Automatically shifts loads to off-peak hours and optimizes around tariff structures.
AI-Optimized Load Schedule
Top AI Recommendations
Every machine gets an AI-generated energy fingerprint. Track per-asset consumption, efficiency scores, cost-per-unit, and degradation trends.
Automated CO₂ emission tracking, ESG compliance reports, and carbon intensity scoring. Generate ISO 50001 and GHG Protocol audit-ready reports in one click.
CO₂ Emitted
↓ 22% vs TargetkgCO₂/unit
↓ 18% YoYGreen Score
↑ 12 ptsMonthly CO₂ Emissions (tonnes)
AI-curated alerts prioritized by impact, automated daily digests, and audit-ready reports delivered to every stakeholder on schedule.
Energy profiles linked to asset lifecycle
Auto-generate WOs from anomalies
PM triggered by energy degradation
Correlate energy with OEE output
Energy anomalies feed AI predictions
ISO 50001 & regulatory tracking
Energy audits in inspection checklists
SAP, Oracle, Dynamics sync
Factories Optimized
Avg Cost Reduction
Energy Savings Delivered
Carbon Reduction
"iFactory's AI cut our electricity bill by 32% in year one. The anomaly detection caught a failing compressor that would've cost $180K in unplanned downtime."
"The sustainability dashboard made ESG reporting effortless. We achieved ISO 50001 certification 3 months early, carbon intensity dropped 28% year-over-year."
"Peak shaving saved us $420K in demand charges alone. Per-asset profiling identified 8 machines running 40% above efficiency baseline."
An AI-powered platform that tracks, analyzes, and optimizes energy consumption across manufacturing facilities in real time. iFactory uses IoT sensors and ML to capture sub-second data from every machine — identifying waste, detecting anomalies, forecasting demand, and typically reducing energy costs by 20-30%.
iFactory's ML engine learns normal consumption patterns for every asset, building a unique energy fingerprint. When real-time data deviates from baselines, the AI flags anomalies within seconds, classifies severity and root cause, and triggers automated alerts with confidence-scored diagnoses.
Smart energy meters, CT clamps, IoT power monitors, PLC/SCADA, BMS, and sub-meters. We support Modbus, BACnet, OPC-UA, MQTT, and REST API protocols with cloud or on-premise deployment.
AI analyzes your utility rate structure alongside production schedules, then shifts non-critical loads to off-peak hours, staggers motor startups, and optimizes sequencing — typically reducing demand charges by 25-35%.
Yes. iFactory automatically calculates Scope 1 and 2 carbon emissions, tracks reduction targets, and generates audit-ready reports for ISO 50001, GHG Protocol, CDP, and regional regulations.
Single facility: 1-2 weeks with existing meters. Full AI analytics with IoT sensors: 3-4 weeks. Enterprise multi-plant rollouts: 6-10 weeks. AI starts learning baselines immediately.
Join 500+ facilities using iFactory's AI energy monitoring to slash costs, eliminate waste, and hit sustainability targets. Schedule a free 30-minute demo and see savings in real time.