Industrial AI for vision, documents and production intelligence

AI that understands the factory, not just the data.

ERPX AI brings computer vision, defect detection, production monitoring, document understanding and operator assistance directly into industrial ERP, MES, WMS and factory workflows. Built for environments where every image, document and machine event must become usable production intelligence.

Computer Vision · Defect Detection · Technical Documents · Operators · Production AI
ERPX Industrial AI Layer

From raw data to industrial decisions

Context-aware

ERPX connects images, technical documents, machine signals, operator events and production context into one controlled industrial intelligence layer.

Vision
Defects, presence, position
Documents
PDFs, drawings, instructions
Signals
PLC, sensors, machine events
Operators
Notes, confirmations, exceptions
Anomalies
Delays, defects, missing data
Decisions
Alerts, blocks, approvals
Images Docs Signals Context Decision
Vision
camera-based inspection, presence detection, position control and visual quality checks
Docs
technical document reading, extraction, classification and operational search
Signals
machine, PLC, sensor, operator and production data combined into AI-ready events
Assist
AI assistants for operators, supervisors, planners and technical offices
Computer vision

Industrial vision connected to production context.

Computer vision becomes valuable only when it is connected to the real process: the order, the machine, the material, the operator, the quality rule and the next decision. ERPX AI links camera events to industrial data, so images become actionable production information.

01 · Camera

Image acquisition

Industrial cameras, line cameras, Raspberry/edge devices, inspection stations and image capture points.

02 · Detection

Presence and position

Detect material presence, movement, orientation, alignment, missing items and abnormal positioning.

03 · Quality

Defect recognition

Surface defects, shape anomalies, missing features, damage, scratches, stains, holes and process-related issues.

04 · Context

Production link

Every visual event can be linked to work order, material, batch, machine, operator, shift and quality status.

05 · Decision

Alerts and blocking

Automatic warnings, production blocks, rework suggestions, quality holds and escalation to supervisors.

06 · Trace

Image history

Images, detections, operator confirmations and quality decisions remain available for later analysis and audit.

07 · Edge

Local AI execution

Models can run close to the line when latency, privacy, connectivity or industrial reliability requires it.

08 · KPI

Vision dashboards

Defect rate, false positives, rework, blocked material, quality trends and machine-related visual anomalies.

Defect detection Surface inspection Presence control Position check Movement detection Quality blocking Image traceability Edge inference
Technical document intelligence

From technical PDFs and drawings to searchable operational knowledge.

Industrial documents contain critical information, but they are often scattered across PDFs, drawings, work instructions, technical sheets, inspection reports and supplier files. ERPX AI can extract, classify, compare and connect this information to the production process.

PDF and technical file reading
Extraction of relevant data from technical documents, work packs, certificates, drawings and production instructions.
Document classification
Automatic recognition of document type, production context, customer, order, material, item or operational phase.
Industrial search
Operators and technical offices can search documents using practical questions instead of file names and folders.
Consistency checks
Compare technical data against ERPX orders, materials, drawings, production steps and quality requirements.
Document-to-process flow

Documents become part of the production workflow.

ERPX AI connects extracted technical information to orders, materials, machines, quality checks and operator instructions, reducing manual interpretation and missing information.

1
Document
2
Extract
3
Classify
4
Validate
5
Link
6
Assist
7
Execute
AI modules

AI embedded inside the industrial workflow.

ERPX AI is not a generic chatbot placed next to the factory. It is an industrial intelligence layer connected to ERPX data, images, documents, machines, materials, operators, quality events and logistics flows.

Computer vision inspection
Camera-based detection of defects, presence, movement, alignment, missing items and production anomalies.
Anomaly detection
Identification of unusual process behavior, delays, repeated errors, missing confirmations and quality deviations.
Document understanding
Reading, classification, extraction and comparison of technical documents, PDFs, drawings and operational files.
Operator assistant
Practical AI assistance for operators, supervisors and planners using ERPX data and controlled industrial context.
Production prediction
Forecast delays, bottlenecks, missing material risks, machine load and delivery-critical production events.
Maintenance intelligence
Use machine history, alarms, stops and production impact to support maintenance decisions and recurring issue analysis.
Logistics intelligence
Detect missing materials, abnormal movements, stock inconsistencies, picking risks and shipment preparation issues.
Controlled AI governance
AI outputs can be logged, validated, reviewed and connected to user permissions, audit trails and industrial rules.
Why ERPX AI

Because industrial AI must know the process.

Generic AI can describe data. Industrial AI must understand the production context: what material is being processed, which machine is involved, what quality rule applies, what document is relevant and what decision must happen next.

AI inside execution
ERPX AI is connected to real industrial workflows.
Images, documents, machine signals and operator events are interpreted inside the ERPX production context, not as isolated data.
Computer vision for defects, presence, movement, alignment and quality inspection
AI reading of technical documents, drawings, instructions, certificates and production files
Anomaly detection across machines, operators, materials, quality events and logistics flows
Operator and supervisor assistance based on controlled ERPX industrial data
Edge-ready AI for local camera and machine scenarios where latency matters
Traceable AI outputs connected to audit trails, permissions and production decisions
Designed for shipbuilding, textile, manufacturing, logistics and CNC-driven industrial environments
Deployment path

Start from one industrial problem. Train, validate, deploy and measure.

Define the use case
Identify the exact industrial problem: defect detection, document extraction, anomaly alert, operator assistance or prediction.
Collect and validate data
Prepare images, documents, machine signals, ERPX context and expected outcomes for training or rule-assisted AI logic.
Deploy in production
Run the AI model in the real workflow, connect it to alerts and decisions, measure accuracy, impact and operator trust.

Start with an AI industrial assessment.

Define the target use case, available images, documents, machine signals, ERPX data, validation rules and measurable operational impact before any AI rollout decision.