Predicts the most likely root causes with high precision.
Accesses similar service cases and documents to enhance troubleshooting.
Guides troubleshooting dynamically based on initial descriptions.
Provides a centralized view of key metrics and trends to monitor service operations.
Consolidates service history, SLAs and preferences into actionable insights.
Helps customers identify parts and links to e-commerce platforms.
Provides customers with troubleshooting guides through an intuitive chatbot.
Collects detailed information on service cases, enhancing technician readiness.
Converts call audio into text for better analysis, training, and service accuracy.
Automates high-quality report creation by combining interactions and service notes.
Shares trending service topics for collaboration and exchange of best practices.
Tracks and categorizes escalations to reduce unnecessary field visits.
Enables easy text-based searches across service cases, no complex queries needed.
Uses product attributes to identify relevant service cases for complex products.
Ranks knowledge sources by answer quality to improve predictive accuracy.
Fills content gaps via expert networks, enriching InsightLoop insights.
Gathering expert insights for identified knowledge gaps to improve response accuracy.
Anonymizes emails to ensure compliance with data privacy laws.
Integrates with tools like SAP FSM to provide real-time service insights.
Embeds InsightLoop into service apps for instant predictions and support.
Links product information with relevant tags in ECM systems like Sharepoint.
Centralizes and updates product and parts information for accurate service access.
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