See It Work
See It Work
SYSTEM: OPERATIONAL OT/IT CONNECTORS: 150+ AUTONOMOUS OPERATION: 15+ DAYS GOVERNED AUTONOMY: ENFORCED AUDIT TRAIL: IMMUTABLE INDUSTRIES: ASSET-INTENSIVE & MISSION-CRITICAL DEPLOYMENT: 3-6 MONTHS VIA APEX CONTROL LOOPS: 3,400+ SYSTEM: OPERATIONAL OT/IT CONNECTORS: 150+ AUTONOMOUS OPERATION: 15+ DAYS GOVERNED AUTONOMY: ENFORCED AUDIT TRAIL: IMMUTABLE INDUSTRIES: ASSET-INTENSIVE & MISSION-CRITICAL DEPLOYMENT: 3-6 MONTHS VIA APEX CONTROL LOOPS: 3,400+

Asset Utilisation Optimisation · PROCESS INDUSTRY

Make energy a managed signal, not a sunk utility cost.

In food manufacturing, energy is a substantial line item that hides inside the aggregate utility bill. Variable-speed drives drift inefficient quietly, and process inefficiency only shows up at the meter. The XMPro AO Platform monitors every drive and motor in real time, flags efficiency drift before it costs throughput, and routes maintenance and process actions to the right team.

THE CHALLENGE

What's getting in the way today.

Energy in food manufacturing accumulates cost across four fronts:

ISSUE 01 OPEN

High energy share of opex

A substantial portion of operational cost in food manufacturing flows through energy — but it’s rarely tied back to the asset or process that drove it.

ISSUE 02 OPEN

Drive inefficiency drift

Variable-speed drives and other electric motor drives degrade in efficiency quietly, raising consumption per unit of output without any visible event.

ISSUE 03 OPEN

No continuous monitoring

Without per-asset telemetry, inefficiency hides in the aggregate utility bill — identifiable only after the cost has already been paid.

ISSUE 04 OPEN

Process-driven energy waste

Operational sequencing, batch timing and equipment cycling can drive higher-than-necessary energy use without anyone flagging it as the cause.

THE SOLUTION

Energy Consumption Reduction — how it works.

Continuous monitoring of every drive and motor, tied to predictive analytics and customisable dashboards so energy inefficiency surfaces as an action — not a month-end variance.

Real-time data integration Predictive analytics Anomaly detection Automated recommendations Operational dashboards Digital twin simulation

The platform integrates real-time telemetry from variable-speed drives, electric motor drives and supporting process equipment. A digital twin of the line allows engineers to simulate intervention scenarios. Predictive analytics flag drive efficiency drift and surface ranked recommendations — preventive maintenance, drive replacement, process re-sequencing — before consumption per unit climbs. Automated alerts route to the right responder when efficiency deviates from baseline. Customisable dashboards expose energy consumption patterns and equipment performance to facility managers and maintenance teams, and reporting feeds environmental compliance directly.

SEE IT IN YOUR ENVIRONMENT

Scope this for your operation.

Tell us about your fleet, your control maturity and the lever that matters most. We’ll map this use case to your starting point.

WHAT CHANGES

What this looks like in operation.

Energy as a leverable line item

Per-drive baselines turn the utility bill into something you can attack, asset by asset, instead of accepting it as overhead.

Predictive efficiency interventions

Drive inefficiency is flagged before consumption climbs, so maintenance and process changes run ahead of the energy cost — not behind it.

Compliance as a by-product

Energy and emissions reporting is generated from the same telemetry, so sustainability commitments are evidenced rather than estimated.

DEPLOYED IN

Built for these industries.

PRODUCTION-PROVEN

Not a concept. In production.

XMPro is deployed at Tier 1 global operators across asset-intensive and mission-critical industries — delivering measurable results across predictive maintenance, process optimisation and operational intelligence.

VERIFIED RESULT — OIL & GAS
$16M Saved every year
18% Reduction in field service trips
95% Reduction in maintenance planning

Customer Case Study

Using XMPro, a global oil and gas supermajor rapidly composed and deployed an intelligent oil well maintenance solution in just three months -- achieving over $8 million in calculated value within the first six months.

VERIFIED RESULT — MINING
$10M Saved every year
30% Reduction in conveyor downtime
9,000t Saved every month

Customer Case Study

Using XMPro, the world's largest potash mining company rapidly composed and deployed a predictive maintenance solution for over 50 miles of underground conveyors in just 30 days, achieving $10 million in savings every year by reducing unplanned downtime by over 30%.

VERIFIED RESULT — ENTERPRISE SCALE
6 Sites with in-house adoption
1,000+ Assets monitored
35+ Operational, tactical and strategic use cases

Customer Case Study

XMPro enabled the in-house engineering team at a major North American miner to independently compose 35 operational, tactical and strategic solutions across six sites, scaling to monitor and manage over 1,000 diverse critical assets.

"XMPro successfully triggered a real predictive maintenance alert for a Haul Truck that appears to have a Strut issue - This was particularly impressive, considering we have only deployed the development environment a few weeks ago"

-- Advanced Predictive Maintenance Lead, major global mining company

AUTONOMOUS OPERATIONS

Now pushing the frontier.

MAGS agents are achieving what no other industrial platform has demonstrated — sustained autonomous operations at enterprise scale.

0+
Days Autonomous
Safety-critical petrochemical operations
3-0+
Agents Per Team
Specialized agents coordinating per use case
0+
Teams Deployable
Scale across sites and business units
0%
Governed
Every agent, every decision, every action — auditable

SCOPE FOR YOUR SITE

Let’s scope this for your operation.

Talk to an XMPro engineer about your environment, your starting HAS level and the lever that matters most — or browse more solutions.