Internal Supply Chain Automation

IoT Platform for End-to-End Visibility and Coordination Within Operations

The internal supply chain is the heart of production

Every factory depends on a constant and orderly flow of materials, supplies, equipment, and intermediate products.

When these internal movements are not synchronized, there appear:

• Production delays
• Inventory accumulation
• Bottlenecks
• Rework
• Unnecessary downtime

Internal Supply Chain Automation based on IoT and Industry 4.0 allows you to understand what happens inside the plant in real-time and better coordinate each stage.

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Complete visibility within the plant

The platform consolidates operational information from:

• IoT sensors already installed
• Connected equipment
• Production flows
• Existing operational records
• Data generated by internal processes

The goal is to obtain a single view of material movement, from receipt to production area and internal storage.

This visibility allows identifying delays, imbalances, and improvement opportunities.

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IoT data to better coordinate operations

Data generated within the plant—such as inventory levels, process times, machine states, or material presence—feeds the platform, producing valuable insights for operations.

This includes:

• Internal movements between stations
• Material availability for each line
• Status of buffers or intermediate areas
• Pending internal orders
• Input consumption rate
• Possible saturations or shortages

We don't manage external suppliers or complex logistics: the focus is inside your factory, where IoT makes the difference.

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AI to anticipate needs and avoid interruptions

The artificial intelligence module analyzes operational trends to:

🔍 Anticipate material shortages in lines

Detects when a line is running out of critical inputs.

⚠️ Detect bottlenecks

Identifies areas where inventory accumulates or flow slows down.

🔄 Suggest internal redistribution

Recommends optimal material movements between stations.

⏱️ Estimate replenishment times

Calculates when it will be necessary to replenish each area.

📊 Correlate production rates with internal inventory levels

Relates actual consumption with production speed.

🛡️ Identify risks that may affect continuity

Alerts about patterns that may cause interruptions.

This approach helps maintain smooth and stable production.

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Key indicators for internal supply chain

The platform shows KPIs focused on Industry 4.0:

• Cycle time between areas
• Internal inventory level by zone
• Consumption per line or station
• Replenishment rate
• Flow stability analysis
• Internal material rotation
• Internal buffer capacity
• Correlation between consumption and production

All presented in intuitive and easy-to-interpret dashboards.

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Operational benefits

✅ Fewer interruptions due to lack of materials

✅ Reduction of waits between stations

✅ Greater production flow stability

✅ Better coordination between internal areas

✅ Early identification of bottlenecks

✅ Internal inventory optimization

✅ Data-backed decision making

✅ Greater operational continuity

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Practical example

If a line depends on a constant supply of materials from an internal preparation area, the platform detects that consumption increases during certain shifts.

The AI anticipates a possible shortage and recommends adjusting internal replenishment.

Thus the plant avoids an unnecessary stop.

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Flexible for different industrial operations

The platform adapts to:

• Discrete manufacturing
• Continuous production
• Packaging
• Internal distribution centers
• Intra-plant logistics
• Multi-sector operations

Depending on existing systems, 100% cloud or hybrid configurations with local components can be evaluated.

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Part of the 2025 Roadmap

Internal supply chain automation is a key part of Nissi Energy's 2025 Roadmap.

We are developing modules for:

• Flow analytics
• Bottleneck detection with AI
• Consumption prediction
• Operational recommendation
• Advanced visualization of internal movements
• Flexible connectivity with current systems

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🟩 Note for companies interested in AI innovation

We are looking for industrial companies that want to participate as early partners in developing solutions for internal visibility and coordination based on IoT and intelligent analytics.

If your plant wants to:

• Improve operational continuity
• Anticipate shortages or saturations
• Digitize material flow
• Test new Industry 4.0 tools

We can establish an early implementation agreement, with exclusive benefits for the first participants.

Contact us for an exploratory meeting.

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Conclusion

The internal supply chain is a fundamental piece for operational stability.

A platform based on data, AI, and IoT helps anticipate problems, optimize resources, and better coordinate each stage of the production flow.

The productivity of the future depends on visibility, connectivity, and informed decisions.

This solution is designed to accompany that path.