Book a Call
Industry 03 · Manufacturing & Logistics

Industrial AI that survives the shop floor.

We build, staff, and advise across discrete and process manufacturing, logistics, and supply-chain operators, engineered for OT/IT realities, edge constraints, and decisioning that compounds throughput.

OT/IT
Integration-fluent
Edge
to-Cloud
1-2 wks
To embedded
48 hrs
Costed proposal
Stack

OT, IT, and AI that meet on the shop floor.

Industrial protocols, edge platforms, and supply-chain decisioning tools we ship into discrete and process manufacturing. ISA-95 awareness baked in.

OT & Industrial
OPC-UAMQTTModbusPROFINETIgnitionAVEVA / OSIsoft PIRockwell FactoryTalk
Edge & IoT
AWS IoT GreengrassAzure IoT EdgeEclipse KuraNVIDIA JetsonKubeEdge
AI for Industry
Computer Vision (YOLO, SAM)Anomaly detectionPredictive maintenancePyTorch EdgeONNX Runtime
ERP & Supply Chain
SAP S/4HANAOracle NetSuiteMicrosoft DynamicsManhattan WMSBlue Yonder
OT/IT segmented engagements by default
Edge-first for latency-sensitive workloads
ISA-95 level alignment from architecture day one
Challenge

The shop floor doesn't care about your cloud diagram.

Most industrial AI projects fail at the OT/IT seam, the model trains on clean data extracts but doesn't survive the real PLC, MES, ERP, WMS, or TMS environment it has to live inside. Xperion's industrial engagements start from the asset, the process, and the integration constraint backwards.

If the operator can't trust it during a bad shift, it doesn't matter how well it scored in the notebook.
  • OT/IT integration-fluentNative fluency with MES, ERP, WMS, TMS, SCADA, historians (PI, Ignition), and the OPC UA / MQTT layer between them.
  • Edge-to-cloud architectureDesigns that run inference at the line where latency or air-gap matters, and in cloud where economies and observability matter.
  • Procurement-aware deliveryCapex framing, TCO modelling, vendor-management language. We speak the language of operations, supply-chain leadership, and IT procurement.
  • Operator-first UXTools designed for gloves, glare, low bandwidth, and shift changes, not the conference-room demo.
Use Cases

Where we ship today.

Production engagements span discrete and process manufacturing, distribution, and last-mile logistics, engineered for the integration and reliability realities of each.

Operations & Asset Reliability

Predictive maintenance & anomaly detection

Time-series and vibration models for rotating equipment, batch process anomalies, and energy consumption, paired with the CMMS workflow that closes the loop with maintenance.

Quality

Computer-vision QA

Edge-deployed vision for surface-defect detection, packaging integrity, and visual assembly QA, integrated with MES so reject reasons land in the right system.

Supply Chain

Demand forecasting & S&OP support

Hierarchical and event-aware forecasting tied to S&OP cycles and ERP, promotion, weather, and exogenous-event awareness, not just trend extrapolation.

Logistics & Last Mile

Dispatch & route optimisation

Constraint-aware dispatch, dynamic routing, and load planning integrated with TMS / WMS. Real driver and yard constraints baked in, not assumed away.

Procurement

Supplier discovery & risk AI

RAG-driven supplier discovery, risk and concentration screening, contract intelligence, and SKU rationalisation copilots for indirect procurement teams.

Plant Operations

Operator copilots & SOP assist

Voice and tablet copilots for line operators, SOP lookup, troubleshooting trees, changeover guidance, integrated with the historian and MES.

Talent

The roles we staff most.

Senior specialists with industrial-software, OT/IT, and supply-chain operating experience.

OT/IT Integration EngineersEngineers with experience across MES, ERP, WMS, TMS, SCADA, historians, OPC UA / MQTT, the integration layer where industrial AI either lives or fails.
Industrial AI / Data EngineersSpecialists in time-series, computer vision, forecasting, and constraint optimisation, with edge-deployment and reliability experience.
Operations Product & UX DesignersDesigners fluent in operator workflow, gloves-and-glare interfaces, tablets, voice, shift handover patterns, supervisor dashboards.
Supply Chain & Procurement SpecialistsFractional or embedded specialists with S&OP, planning, sourcing, and trade-compliance experience.
Outcomes

Operational metrics, not slide metrics.

Throughput, yield, OTIF, and unplanned downtime, the measures operations teams actually live by. Every programme starts by baselining them, because targets only mean something against your numbers.

MTBF ↑
Unplanned downtime
Predictive maintenance is scoped against your downtime baseline, paired with CMMS workflow, with the target set in writing at kickoff.
WAPE ↓
Forecast error
Hierarchical, event-aware forecasting is measured against your trend-only baseline, not a vendor benchmark.
OTIF ↑
On-Time-In-Full
Dispatch and load-planning programmes are instrumented across the full pipeline so OTIF movement is attributable, not asserted.
Real-time
Vision QA at line speed
Edge vision deployments are engineered for line-speed throughput, low-latency inference, and full MES integration.

Have an industrial AI use case in mind?

One scoping call, operations, IT, and procurement welcome at the same table. We come back with a costed plan within 48 hours, including the integration and TCO view.