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OpenText Aviator IoT

Securely track assets and shipments with an identity-driven IoT platform powered by AI

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Gain actionable insights from IoT devices with AI

See Aviator IoT in action in this OpenText World 2024 demo

The advent of AI-enabled, IoT-connected devices is reshaping organizations’ operational dynamics and service delivery. It introduces a new tier of data and asset visibility, while adding thousands of devices to networks and exponentially increasing the endpoints to manage.

OpenText™ Aviator IoT leverages AI to simplify device provisioning, management, data ingestion, and handling, as well as correlate IoT master data with existing data. It also incorporates IoT business protocols into back-end systems and establishes a secure digital ecosystem.

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Use AI to harness the limitless possibilities of IoT

Rethink the day-to-day management of industrial assets and connected things with AI-powered IoT

  • connectivity icon

    Connect and protect millions of IoT endpoints with AI

    Connect anything—including people, systems, and things—and keep your extended business network secure from external cyber security threats with an identity-based approach and autonomous authentication.

  • desktop eye icon

    Get real-time track and trace

    Use AI to gain a more holistic view of your supply chain and business operations and make IoT asset-related content readily available.

  • omni channel icon

    Make smarter decisions with AI insights

    Automate or recommend actions based on historical sensor information, trends, and external information sources, such as weather, news, or social feeds.

  • network integration icon

    Integrate the entire business ecosystem

    Automatically exchange sensor-based information with key business systems—such as ERP, WMS, and TMS—using comprehensive machine-to-machine or application-to-application integration capabilities.

  • folder connect icon

    Leverage digital twins

    Create digital twins of physical objects to easily visualize contextual data, and provision and de-provision secure IoT endpoints and data access to minimize threats.

  • application layout dashboard icon

    Generate user-friendly reports, dashboards, and visualizations

    Design, deploy, and manage secure, interactive applications, reports, and dashboards fed by disparate IoT sources, plus support high user volumes with content and AI insights easily embedded into any application.

Get actionable insights from IoT data

Do it better, stronger, faster

Get real-time insights and visibility into connected devices and automate processes

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  • IoT track and trace

    Unlock asset visibility across your entire supply chain to identify bottlenecks and improve operational efficiency. Operations managers can make real-time decisions with contextual data from multiple sources.

  • Product traceability

    Protect your brand’s reputation and build consumer confidence by monitoring products throughout their entire lifecycle. Directors of operations can use real-time tracking and tracing to eliminate counterfeits and prove sustainability.

  • Asset management and monitoring

    Monitor your assets’ locations, conditions, usage, and performance at all times. Warehouse and transportation managers can minimize shrinkage costs with industrial IoT and supply chain asset management capabilities.

  • AI-powered predictive maintenance

    Prevent downtime and costly repairs by staying on top of equipment maintenance. Engineers and warehouse workers can use AI and sensor-based IoT data to anticipate potential failures and identify root causes.

  • Supply chain optimization

    Strengthen your operations with AI-generated analyses based on information from across the supply chain. Operations leaders can make faster, more informed decisions about their supply chains with consolidated insights.

Curious for more?

IoT is a network of connected things like machines, vehicles, devices, and buildings. IoT traceability uses connected devices and sensors to track and monitor assets throughout their lifecycle. In asset management, this means every piece of equipment can use IoT technology to capture and share real-time data such as location, condition, usage, or performance.

By linking these “smart” assets into a connected network, organizations can: 

  • Gain end-to-end visibility into asset movements, status, and history.
  • Improve decision-making with timely data that reduces reliance on manual updates. 
  • Optimize operations by predicting maintenance needs, reducing downtime, and ensuring compliance. 

Imagine a refrigerated truck equipped with IoT sensors that not only track its location, but record and transmit the temperature of its cargo at every stage of the journey. If conditions shift, logistics teams can take immediate action to protect perishable goods and prove compliance with cold-chain standards.

A factory pump can be fitted with sensors that continuously monitor performance. Instead of failing unexpectedly, it sends an early warning when anomalies appear, allowing staff to intervene before downtime occurs.

Both cases show how IoT traceability provides real-time visibility, accountability, and control—allowing faster decisions, reducing risks, and improving business outcomes.

IoT traceability strengthens visibility, accountability, and decision-making across the asset lifecycle. Common high-value use cases include:

  • Real-time monitoring that enables predictive maintenance and reduces unplanned downtime.
  • Asset management and tracking that improves utilization and extends lifecycle value.
  • Supply chain data that increases last-mile visibility and reduces blind spots.
  • AI-powered analytics that support faster and more confident decisions.
  • New revenue models based on usage or performance.

Enterprises that embrace IoT report higher resilience, greater efficiency, and stronger customer trust.

An IoT traceability ecosystem has four layers that capture, move, and act on data. Devices and sensors in machines, vehicles, or equipment collect inputs like temperature, vibration, or location. Connectivity via Wi-Fi, 5G, LPWAN, or Bluetooth transmits this data securely. Edge and cloud platforms filter and process information for faster local decisions and scalable storage. Applications and AI models turn signals into dashboards, alerts, and insights that guide action. OpenText™ Aviator™ IoT unifies these layers, applying AI to drive real-time workflows.

IoT delivers value across industries by turning raw data into intelligence.

  • Healthcare: Connected devices support telehealth, continuous monitoring, and predictive analytics for better outcomes.
  • Manufacturing: Sensors enable predictive maintenance, cut downtime, and improve quality control.
  • Logistics: Cold-chain and real-time tracking protect goods, optimize routes, and reduce theft.
  • Retail: Smart shelves and RFID enhance inventory accuracy and customer experiences.
  • Energy: Smart meters and grid monitoring improve load balancing and outage response. IoT shifts operations from passive monitoring to active intelligence.

  • Security risks: Every new device is a potential cyberattack vector.
  • Data deluge: Billions of data points require strong filtering and analytics.
  • Legacy integration: Bridging IoT with older ERP/MES/OT systems is complex.
  • Cost and scale: Managing thousands of endpoints requires investment and planning.
  • Governance: Compliance across industries and geographies must be ensured.

Aviator IoT addresses these challenges by offering secure, modular integration and outcome-based scaling.

OpenText Aviator IoT is an AI-powered, enterprise-grade orchestration platform that unifies real-time asset intelligence, device management, and predictive automation. With Aviator IoT, organizations can simplify device management and data ingestion, apply AI to detect issues and initiate automated responses, maintain compliance with full traceability and audit trails, and connect IoT insights directly into core enterprise systems such as supply chain, content management, and ERP. The outcome? IoT evolves into a true decision-making infrastructure rather than functioning only as a connectivity layer.

Aviator IoT is built for interoperability, connecting IoT data directly into core enterprise platforms such as ERP, supply chain, and content management. Through APIs and modular connectors, it ingests data from diverse devices, normalizes it, and makes it actionable across business processes. This means IoT insights flow seamlessly into workflows—whether triggering a work order in ERP, updating a compliance record, or informing supply chain planning. By integrating with existing systems, organizations avoid silos, reduce manual data entry, and unlock the full business value of IoT traceability.

Learn more about Aviator IoT

Growing use cases for the ever-evolving digital twin

Read the white paper

Enable an autonomous supply chain with IoT, AI, and Blockchain

Watch the video

Unlock the potential of AI-infused digital twin technology

Watch the video

Accelerate strategic decisions with AI-enabled IoT business intelligence

Read the blog

How to achieve smarter traceability

Read the traceability blog

How AI is unlocking the untapped potential of supply chain ecosystems

Read the AI blog

How IoT, AI, and blockchain will enable tomorrow’s autonomous supply chain

Read the IoT blog

The top 5 AI and IoT predictions for manufacturing in 2024

Read the manufacturing blog

Retail and CPG companies are focused on intelligence, engagement, and security

Read the retail blog

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