OpenText Decision Service - OpenText Internet of Things Platform Integration and Automation

Common Integration Use Cases Between OpenText Decision Service and OpenText Internet of Things Platform

1. Real-Time Equipment Maintenance Prioritization

Data flow: OpenText Internet of Things Platform ? OpenText Decision Service

Sensor data from machines, such as vibration, temperature, runtime hours, and error codes, is streamed into the IoT platform and evaluated by decision rules in OpenText Decision Service. The rules determine whether an asset should be monitored, scheduled for inspection, or escalated for immediate maintenance.

Business value: Reduces unplanned downtime, improves maintenance planning, and helps maintenance teams focus on the most critical assets first.

2. Automated Quality Control Escalation in Manufacturing

Data flow: OpenText Internet of Things Platform ? OpenText Decision Service ? Workflow or case management systems

Production line sensors capture measurements such as pressure, speed, humidity, or defect counts. OpenText Decision Service applies quality thresholds and business rules to decide whether a batch can continue, must be reworked, or should be quarantined. The decision can trigger a quality case or production hold.

Business value: Improves product consistency, reduces scrap and rework, and enables faster response to quality deviations.

3. Dynamic Asset Risk Scoring for Field Operations

Data flow: OpenText Internet of Things Platform ? OpenText Decision Service

IoT data from remote assets such as pumps, transformers, vehicles, or refrigeration units is used to calculate operational risk. OpenText Decision Service combines live sensor readings with business rules, asset criticality, and service history to assign a risk score and determine the next action.

Business value: Helps operations teams prioritize inspections and service visits based on actual condition rather than fixed schedules.

4. Automated Service Dispatch Based on Device Conditions

Data flow: OpenText Internet of Things Platform ? OpenText Decision Service ? Field service or ERP systems

When connected devices report abnormal conditions, OpenText Decision Service evaluates whether the issue can be resolved remotely, requires spare parts, or needs a technician dispatch. The decision can then create a service order, assign a technician, and reserve parts in downstream systems.

Business value: Shortens response times, improves first-time fix rates, and reduces unnecessary truck rolls.

5. Utility Outage and Alarm Triage

Data flow: OpenText Internet of Things Platform ? OpenText Decision Service ? Incident management systems

In utilities, smart meters, substations, or network sensors generate large volumes of alarms. OpenText Decision Service filters and classifies events based on severity, location, customer impact, and regulatory priority. Only actionable incidents are escalated to operations teams.

Business value: Reduces alarm fatigue, improves incident prioritization, and supports faster restoration of critical services.

6. Logistics Exception Management for Cold Chain and Fleet Monitoring

Data flow: OpenText Internet of Things Platform ? OpenText Decision Service ? Logistics or customer service systems

Temperature, humidity, location, and shock data from shipments or vehicles is continuously monitored. OpenText Decision Service determines whether a shipment remains compliant, needs intervention, or must be flagged for customer notification and claims handling.

Business value: Protects product integrity, reduces spoilage, and improves compliance in regulated logistics environments.

7. Policy-Based Automated Shutdown or Safety Response

Data flow: OpenText Internet of Things Platform ? OpenText Decision Service ? Control or workflow systems

When IoT devices detect unsafe operating conditions such as overheating, gas leakage, or unauthorized access, OpenText Decision Service applies safety policies to decide whether to issue an alert, initiate a controlled shutdown, or open an emergency case.

Business value: Strengthens operational safety, supports compliance, and reduces the impact of hazardous events.

8. Bi-Directional Rule Tuning Based on Operational Feedback

Data flow: OpenText Decision Service ? OpenText Internet of Things Platform

Operational outcomes from IoT-driven events, such as false alarms, confirmed failures, or successful interventions, are fed back into decision governance processes. Business teams can refine thresholds and rules in OpenText Decision Service, while updated policies are applied to incoming IoT data in the platform.

Business value: Improves decision accuracy over time, aligns operations with changing conditions, and gives business users more control over automation without changing application code.