SOLUTIONS · SUPPLY CHAIN & LOGISTICS
Connect operational risk to supply chain response.
XMPro helps teams understand how supplier, parts, inventory, logistics, and contract constraints affect operational decisions, asset availability, and production risk.
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. To respond well, teams need to answer five questions.
Which assets are at risk?
Risk lives in the asset signal. But the supply-side response only starts when the at-risk asset is identified, ranked, and tied to the production it supports.
Which parts or suppliers are involved?
A failure mode points to specific parts and qualified suppliers. Without that link, the operations call and the procurement call run on different timelines.
What inventory or logistics constraints matter?
Spares in the right store, lead time from the right supplier, and the right logistics window all set the real-world response speed. They have to come into the same picture.
Which business unit or contract owns the issue?
Sites, business units, and master contracts all have ownership rules. Routing the right action to the right owner is half the speed of the response.
What action should be prioritized?
Many things could be done; few are the call. The right next move balances production impact, response cost, supplier risk, and the maintenance window.
XMPro answers all five inside one governed loop — asset risk tied to parts, suppliers, inventory, and logistics in coordinated action. See the supply-chain agents already operationalising this pattern.
Explore the AI Agent LibraryConnect asset risk to supply response with the same operational truth.
XMPro connects asset risk, operating context, supplier relationships, parts, inventory, contracts, recommendations, and workflows into coordinated action.
Move supply chain response from monitor to bounded autonomy.
Each stage adds approved authority. Monitor & Predict detects operational and supply chain risk intersections. Advise & Coordinate recommends parts, supplier, logistics, or maintenance response options. Operate Autonomously triggers selected notifications or workflows within approved policy boundaries.
Supply chain patterns from the Solutions Library
A small curated set of supply-chain use cases live across the library today. Library coverage is light for this outcome — browse the full library for additional industry- and asset-specific patterns.
Demand Planning & Stockholding Reduction
Demand-forecasting and inventory optimisation across the store estate — less dead stock, fewer revenue-losing stockouts.
Short-Term Inventory Planning
Live inventory, demand forecasting and ranked replenishment actions across the short-term planning horizon.
The supply chain decision loop, end to end.
From the first signal of asset risk to the recorded outcome, every step in the loop is governed, evidenced, and reviewable.
Pre-built agents that operationalise the supply chain loop.
A curated selection of MAGS-powered agents and assistants that align with the supply chain and logistics maturity path. Browse the full marketplace for industry-specific patterns.
Supply Chain Network Optimization Agent
Target Outcome
WORKING CAPITAL EXPOSURE
Reduced
Excess inventory · adaptive demand-aligned positioning
Supply Chain Demand Planner Agent
Target Outcome
FORECAST ERROR RATE
Below 15%
Down from 20—35% baseline · within 6—12 months
Supply Chain Logistics Fulfillment Agent
Target Outcome
EXCEPTION RESOLUTION TIME
Minutes
Down from hours of manual coordination · per incident
Autonomous Supply Chain Optimization Team
Target Outcome
EXCEPTION RESPONSE TIME
Hours → Minutes
Routine exceptions resolved in minutes · structured escalation for high-impact
Supply Chain Financial Performance Agent
Target Outcome
COST VARIANCE DETECTION
Real Time
Down from days—weeks lag · automated threshold alerting
Supply Chain Strategic Market Signals Agent
Target Outcome
MARKET RESPONSE LEAD TIME
Hours
Down from days—weeks · proactive early signal detection
Close the loop on a single supply chain risk path.
Pick one priority asset family. Tie the risk to parts, suppliers, inventory, and logistics. Govern the response. Then expand to the next path.