Power Smarter Production, Shift by Shift—With TTME
From factories to fulfillment hubs, TTME equips industrial teams with live consumption analytics, outage prevention, and AI-powered support—minimizing downtime and maximizing operational efficiency.
Energy mismanagement across machinery, shifts, and units can cost manufacturers millions in wasted load, unplanned downtime, and high utility bills. TTME brings precision and predictability with AI-first operations.
TTME brings AI to every level of your airport energy stack—from gate sensors to command centers.
Unit-Level Load Tracking
Visualize energy used per machine, floor, or assembly line.
Shift-Wise Usage Analysis
Detect overconsumption in night shifts or underutilization during day.
Anomaly Detection Alerts
Flag erratic spikes tied to motor faults, leaks, or downtime.
Support Chat for Ops
AI agents answer technician queries about usage, billing, or schedules.
Predictive Load Balancing
Recommend re-routes and load shifts to prevent overloads.
Maintenance Signal Monitoring
Catch abnormal energy behavior before equipment fails.
Transforming Possibilities with
Leading Technologies
AI-Driven
Industrial Intelligencein 4 Steps
Seamless energy intelligence in four powerful steps.
01.
Connect Equipment & Data
Ingest load curves, machinery data, and shift schedules from IoT and ERP systems.
02.
Activate AI Monitors
Deploy energy bots, predictive alerting, and factory floor chat assistants.
03.
Deliver Actionable Dashboards
Track per-line trends, outage maps, and anomaly timelines visually.
04.
Optimize for Efficiency
Continuously improve uptime, reduce peak loads, and align with ISO/ESG goals.
Real-World
Outputs
TTME transforms raw operational data into sharp industrial intelligence. From shift-specific usage to predictive fault detection, every insight is crafted to drive uptime, reduce waste, and boost plant-wide productivity.
Shift-Wise
Load Profiles
TTME maps energy usage by shift or production line, pinpointing periods of inefficiency.
Managers can easily compare performance trends and correlate them with machine behavior.
This enables faster decisions on when to scale, optimize, or rotate resources.
Energy audits and cost allocations become automated and insight-driven.
AI continuously scans load curves for anomalies tied to motors, HVACs, or chillers.
Once detected, each fault is auto-timestamped and tagged by device or location.
This eliminates the need for manual log reviews and reduces downtime diagnostics.
Maintenance teams receive early alerts with root-cause insights pre-included.
Recurring abnormal energy draws are tracked and scored by TTME’s AI over time.
The system predicts when specific assets may need servicing based on consumption patterns.
This prevents reactive maintenance and extends equipment life by forecasting wear.
Repairs are scheduled smartly—aligned with usage intensity and budget cycles.
Generate monthly reports aligned to LEED, GRESB, and airport-specific ESG norms.
Measure energy per flight, per gate, or per sq. ft with adaptive analytics.
Visual dashboards showcase improvement zones and compliance status.
Get board-ready reports without manual data stitching or spreadsheets.
