Manufacturing

Keep Production Moving Without 
the Manual Overhead

Automate the repetitive, manual work that slows logistics teams down — from replanning routes to handling disruptions — using live operational data and workflow-level automation.

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When Something Goes Wrong, Data Isn’t the Bottleneck – Time Is

Modern factories generate huge volumes of data from machines, sensors, vision systems, and production platforms. But when defects or anomalies appear, teams still spend hours manually pulling logs, comparing parameters, and piecing together context before they can act.

Anlytic helps manufacturing teams move beyond monitoring and reporting by automating the investigation, preparation, and response work that happens after something changes — so engineers and operators can diagnose issues faster and keep lines running.

Immediate Real World Application

Quality Control & Root-Cause Investigation

The problem

Defects slip through, and identifying the cause requires manual analysis across multiple systems and data sources.

What Anlytic automates

Detection of defect patterns and compilation of relevant process, machine, and historical context.

Why it matters

Faster diagnosis, reduced scrap and rework, and less reliance on scarce specialists.

Equipment Monitoring  & Anomaly Detection

The problem

Early warning signs of equipment issues are buried in streams of machine data and alerts.

What Anlytic automates

Continuous monitoring, anomaly detection, and preparation of structured issue summaries.

Why it matters

Issues are caught earlier, before they turn into costly downtime.

Dark Factory Operations Support

The problem

When production runs with minimal staff on-site, small disruptions can escalate into major stoppages.

What Anlytic automates

Monitoring, initial diagnosis, and safe recovery actions within predefined operational boundaries.

Why it matters

Higher uptime during off-hours and fewer unnecessary escalations. of predefined transfer or replenishment actions.

Maintenance Planning  & Issue Triage

The problem

Maintenance teams are overwhelmed by alerts and reactive work orders with limited context.

What Anlytic automates

Prioritisation, context gathering, and preparation of maintenance tickets.

Why it matters

Better-informed interventions and more effective use of maintenance resources.

How Anlytic Works in Manufacturing

1

Connect Live Production Signals

Ingest data from MES, PLCs, SCADA, vision systems, maintenance logs, and production records.

2

Apply Automation to Existing Processes

Encode the logic teams already use — how issues are investigated, escalated, and addressed.

3

Automate the Work That Slows Teams Down

Anlytic monitors conditions, prepares insights, and triggers workflows as situations change.

What Manufacturing Teams Gain

Faster Issue Resolution

Reduce the time spent diagnosing quality and equipment problems.

Less Manual Investigation

Remove repetitive data gathering and comparison work from engineers’ plates.

Higher Line Uptime

Detect and respond to issues before they disrupt production.

Better Use of Expert Time

Allow specialists to focus on decisions, not data collection.

Get Started

Start Small. Expand Where It Works.

Manufacturing teams typically start with one workflow — quality investigation, equipment monitoring, or maintenance triage — and expand as value becomes clear.

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