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+

SUPPLY CHAIN & LOGISTICS · OPERATIONS TO RESPONSE

Connect operational risk to supply chain response.

Understand how supplier, parts, inventory, logistics and contract constraints affect operational decisions, asset availability and production risk — before the gap stops the line.

THE PROBLEM

Operational decisions depend on more than asset condition.

A maintenance recommendation can fail if parts are unavailable, suppliers are constrained, logistics are delayed, or contracts create hidden dependencies. Operational risk and supply chain risk show up in different systems — the decision lives at the intersection.

ASSET & OPERATIONAL RISK

Asset condition, intervention windows and production-impact signals flag what should happen next — without visibility of whether the supply chain can deliver it on time.

SUPPLY CHAIN CONTEXT

Parts inventory, supplier capacity, logistics lead times and contract terms live in ERP, procurement and SCM systems — rarely on the same screen as the operational recommendation.

THE OUTCOME

Work orders sit waiting for parts that aren't coming. Critical interventions slip. Production loss compounds while the supply gap is reconstructed by hand.

THE XMPRO APPROACH

Connect operational and supply-chain context into one decision.

XMPro connects asset risk, operating context, supplier relationships, parts, inventory, contracts, recommendations and workflows so the operational decision reflects what the supply chain can actually deliver — in time, in policy, under governance.

  1. 01

    Detect asset risk

    Live asset condition, intervention-window indicators and production-impact signals — surfaced where the maintenance and operations decision is made.

  2. 02

    Identify parts & suppliers

    Map the asset and the intervention to the parts, suppliers, kits and substitutes that the response actually needs.

  3. 03

    Check inventory & logistics

    Pull live inventory, supplier capacity, contract terms and logistics lead times — in the operational workflow, not five tabs over.

  4. 04

    Recommend response

    Surface the response option that fits the asset window AND the supply chain reality — with substitutes, expediting paths and contract levers ranked by impact.

  5. 05

    Coordinate action

    Route maintenance, procurement and operations on the same plan — with the right roles approving and the handoff logged.

  6. 06

    Record decision & outcome

    Capture what was decided, what was delivered, what slipped and why — the supply chain learns at the same speed as operations.

AGENTIC MATURITY PATH

From monitoring to autonomous operation — at your pace.

Customers progress along three operating phases as confidence, evidence and governance allow. Same canvas, same connectors, same governance — just more of the supply-aware decision loop carried by the platform over time.

PHASE 1

Monitor & Predict

Detect intersections early.

Detect operational and supply-chain risk intersections — surfaced before the intervention window closes or the inventory gap stops the line.

PHASE 2

Advise & Coordinate

Recommend, route, deliver.

Recommend parts, supplier, logistics or maintenance response options — routing the right roles in operations and procurement to act on the same plan.

PHASE 3

Operate Autonomously

Trigger within policy boundaries.

Trigger selected notifications or workflows within approved policy boundaries when confidence is high and governance allows — humans on the loop, not in it.

COMMON USE CASES

What supply-aware operational decisions look like.

Six use cases customers run on the platform today — spanning critical parts risk, supplier impact on asset availability, inventory and logistics exception monitoring, and the production-continuity loop where operations and procurement meet.

Browse the full Solutions Library →

PRODUCTION PROVEN

Trusted by industrial operators.

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

Make operational decisions supply-aware.

Bring asset risk, supplier context, parts, inventory, logistics and Expert AI Agents onto one canvas — under governance you control.