Connect meters and production
Bring utility meters, machine runtime, and output context into one data layer.
Solution
Energy Intelligence
Total bills are visible, but waste, peaks, baselines, and machine-level consumption remain hard to explain.
1 productBehind this solution
4 industriesWhere it applies
4 KPIsMeasures to track
What this is for
Explain the bill while production still explains it.
For plant and utilities teams who see the total — not which machines, lines, or shifts caused it.
Capabilities
What this solution covers
The operational areas this solution brings into one connected view.
- 01Electricity monitoring
- 02Machine-level energy
- 03Steam monitoring
- 04Gas monitoring
- 05Water monitoring
- 06Cost allocation
- 07Baseline tracking
- 08Peak demand
- 09Anomaly alerts
- 01Electricity monitoring
- 02Machine-level energy
- 03Steam monitoring
- 04Gas monitoring
- 05Water monitoring
- 06Cost allocation
- 07Baseline tracking
- 08Peak demand
- 09Anomaly alerts
KPIs
Measures to track
Operational measures used to monitor this area. They are not promised outcomes or unverified performance claims.
- 01Energy intensity
- 02Peak demand
- 03Cost per unit
- 04Utility variance
- 01Energy intensity
- 02Peak demand
- 03Cost per unit
- 04Utility variance
Operating flow
How the solution runs
A practical sequence from connected signals to coordinated follow-up for this solution.
Build consumption baselines
Compare current use against expected patterns by line, shift, and product mix.
Detect peaks and drift
Surface abnormal intensity, peak demand, and unexplained variance while it is still actionable.
Explain the drivers
Neo relates utility behavior to production context so teams know what changed.
Coordinate follow-up
Route the next review or action to the owners who can correct the drift.
Visibility Neo Agent
Ask it in plain language.
An illustrative exchange showing how a energy intelligence question can be answered with the context behind it.
Plant ManagerWhy was our energy cost higher last week?
Utility intensity rose on the dyeing line while output stayed flat, and two peak demand events fell outside the usual shift pattern. The same line also ran a heavier product mix than the baseline assumes.
Visibility Livesource context
Operating model
Energy Intelligence end to end
A practical view of what gets connected, how context is built, and what teams can act on.
Electricity meters
Machine runtime
Steam / gas / water
Production output
Cost context
1Connect utility and production signals
2Compare consumption against baselines
3Detect peak demand and abnormal variance
4Recommend operational follow-up
Neo can explain why utility intensity changed by combining production context, meter behavior, and operating conditions.
Products
Products behind this solution
Each product contributes a layer of the shared operational record this solution relies on.
Industries
Industries where this applies
Each vertical brings its own operating context, data sources, and evidence expectations.
Textile
Textile operations combine production, dyeing, WIP, lots, trolleys, utilities, maintenance, quality, warehouse, buyer compliance, and management reporting.
ExploreFMCG
Fast-moving operations need reliable visibility across production lines, quality, packaging, warehouse, utilities, and dispatch.
ExploreFood & Beverage
Food and beverage sites need traceable, timely intelligence across production, utilities, quality, safety, and compliance.
ExploreManufacturing
Manufacturers need connected visibility across machines, production, maintenance, warehouse movement, quality, and management actions.
ExploreCommon questions
Straight answers on what this capability covers, how it connects, and where teams usually begin.
01What does Energy Intelligence change day to day?
Know where utilities are consumed, wasted, and drifting before cost becomes tomorrow's surprise.
02How do the products work together here?
Visibility Live share one operational record, so signals, evidence, and follow-up stay connected instead of living in separate tools.
03Are the KPI improvements guaranteed?
No. KPIs are listed as operational measures to track, not as promised outcomes or unverified performance claims.
04Can this start with one area?
Yes. Most implementations begin with one high-value signal or workflow and expand as the shared record grows.
Get started
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