Home | Connectors | OpenText Internet of Things Platform | OpenText Internet of Things Platform - Loci Integration and Automation
OpenText Internet of Things Platform and Loci complement each other by connecting operational IoT data with intelligent content personalization. OpenText IoT Platform captures and analyzes real-time device and sensor data from connected operations, while Loci uses user behavior and content analysis to recommend relevant content. Together, they can improve employee guidance, customer engagement, and operational decision-making through context-aware content delivery.
When OpenText Internet of Things Platform detects abnormal equipment readings, it can send asset, fault, or location context to Loci. Loci then recommends the most relevant maintenance guides, troubleshooting articles, safety procedures, or training videos to technicians through a service portal or mobile app. This reduces mean time to repair, improves first-time fix rates, and helps standardize maintenance execution across teams.
OpenText Internet of Things Platform can identify operational conditions such as machine status, production line alerts, or utility thresholds. Loci can use this context to recommend the most relevant standard operating procedures, shift handover notes, and compliance content directly within an operator dashboard. This helps operators respond quickly with the right information at the right time and reduces process errors.
For manufacturers or equipment providers, OpenText Internet of Things Platform can feed product telemetry such as error codes, usage patterns, and device health into Loci. Loci can then recommend tailored self-service content, FAQs, warranty information, and how-to articles in a customer portal. This lowers support call volume, improves customer satisfaction, and increases digital deflection of routine service requests.
When OpenText Internet of Things Platform detects repeated faults, unusual operating patterns, or new device types, it can trigger Loci to recommend targeted training content to specific roles such as operators, supervisors, or maintenance staff. This can be delivered through an LMS, intranet, or internal knowledge portal. The result is more targeted upskilling and faster adoption of new equipment or procedures.
OpenText Internet of Things Platform can provide live operational context such as alarms, site conditions, and asset performance. Loci can use this context along with user role and behavior data to recommend the most relevant content for control room staff, supervisors, or planners. Examples include escalation playbooks, incident response checklists, and shift-specific briefings. This improves decision speed and reduces information overload.
Loci can track which recommended content is accessed after specific IoT events, such as alarms, maintenance alerts, or production exceptions. That engagement data can be sent back to OpenText Internet of Things Platform or a connected analytics environment to correlate content usage with operational outcomes. Business teams can then identify which guides, procedures, or training assets are most effective in reducing incidents or improving recovery time.
OpenText Internet of Things Platform can surface recurring device issues, seasonal patterns, or asset-specific failure trends. Loci can use this information to prioritize and recommend updates to knowledge articles, maintenance documentation, and training materials. This supports cross-functional workflows between operations, engineering, and content teams so that knowledge assets stay aligned with real-world equipment behavior.
These integrations are especially valuable in manufacturing, utilities, logistics, and field service environments where real-time operational data and timely content recommendations can directly improve productivity, service quality, and compliance.