Manufacturing Decisions Are Made Too Late

Manufacturers already have the data they need - ERP systems, production data, maintenance logs, and supply chain information. But the signals inside that data remain hidden until problems occur.

By the time teams react, the consequences are already expensive:

• Production delays

• Excess or missing inventory

• Equipment downtime

• Inefficient planning decisions

Aaria turns operational data into early intelligence

So teams can act before disruptions happen.

A Operational Intelligence Platform. Three Solutions

Aaria integrates with the systems manufacturers already use and continuously analyzes operational data to detect patterns, risks, and opportunities.

Aaria helps teams move from reactive problem-solving to proactive operations management

ProcessFlow

Bottleneck detection & root cause analysis

Find exactly where your production line is losing throughput and why. ProcessFlow maps your process in real time, surfaces the root cause, and tells your team what to fix — before the shift report does.

• Real-time throughput monitoring

• Automated Root cause analysis

• Cost impact calculation

• No new device required

Machine Intelligence

Equipment failure prevention and prediction

Know which machine is heading toward failure before your maintenance team gets the call. Monitors equipment signatures continuously and flags anomalies weeks before they become unplanned downtime.

• Continuous equipment monitoring

• Anomaly detection weeks in advance

• Maintenance window recommendations

Demand Intelligence

Production & supply planning

Stop being surprised by demand. Reads market signals and historical patterns to align production schedules, inventory, and procurement — before the pressure arrives at your door.

• Inventory & procurement alignment

• Production schedule optimisation

• Integrates with ERP & MES data

How it Works

Aaria is designed to integrate quickly with manufacturing environments.

1. Connect

Aaria integrates with your existing systems, such as ERP, MES, and production data sources.

2. Run

AI models continuously analyze operational data to identify risks, anomalies, and optimization opportunities.

Operations teams receive clear insights and alerts, allowing them to take action before disruptions occur.

3. Deliver Intelligence

Measurable Operational Impact

Manufacturers using AI-driven decision intelligence can achieve measurable improvements across operations

Business Outcome

3 X

Lower Maintenance Cost

30%

Through put recoverd

15-30d

Earlier Demand signals

Start with a 60-day pilot

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