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 utility cost while production context still explains it.

Energy Intelligence is meant for plant and utilities teams who see the bill — but cannot tie peaks, waste, and intensity to machines, lines, and shifts. Teams typically track Energy intensity, Peak demand, Cost per unit, and related signals — as operational measures, not promised gains. Built with Visibility Live.

The outcome

Know where utilities are consumed, wasted, and drifting before cost becomes tomorrow's surprise.

What changes day to day

Consumption, baselines, and peak events sit beside production reality, so the next review is diagnostic instead of retrospective guessing.

How Neo helps

Neo can explain why utility intensity changed by combining production context, meter behavior, and operating conditions.

Capabilities

What this solution covers

The operational areas this solution brings into one connected view.

  • 01
    Electricity monitoring
  • 02
    Machine-level energy
  • 03
    Steam monitoring
  • 04
    Gas monitoring
  • 05
    Water monitoring
  • 06
    Cost allocation
  • 07
    Baseline tracking
  • 08
    Peak demand
  • 09
    Anomaly alerts
KPIs

Measures to track

Operational measures used to monitor this area. They are not promised outcomes or unverified performance claims.

  • 01
    Energy intensity
  • 02
    Peak demand
  • 03
    Cost per unit
  • 04
    Utility variance
Operating flow

How the solution runs

A practical sequence from connected signals to coordinated follow-up for this solution.

1

Connect meters and production

Bring utility meters, machine runtime, and output context into one data layer.

2

Build consumption baselines

Compare current use against expected patterns by line, shift, and product mix.

3

Detect peaks and drift

Surface abnormal intensity, peak demand, and unexplained variance while it is still actionable.

4

Explain the drivers

Neo relates utility behavior to production context so teams know what changed.

5

Coordinate follow-up

Route the next review or action to the owners who can correct the drift.

Visibility Neo

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.

Reasoned across
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.

Data sources
Electricity meters
Machine runtime
Steam / gas / water
Production output
Cost context
Intelligence loop
1Connect utility and production signals
2Compare consumption against baselines
3Detect peak demand and abnormal variance
4Recommend operational follow-up
Neo action pattern

Neo can explain why utility intensity changed by combining production context, meter behavior, and operating conditions.

Live
Products

Products behind this solution

Each product contributes a layer of the shared operational record this solution relies on.

FAQ

Common 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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