Smart Comprehend Overview
Updated
Smart Comprehend, or Smart KB Recommendations, powered by Sprinklr’s in-house Large Language Model (LLM), intelligently analyses the case conversation to generate a query. Based on this query, the model predicts and recommends the most relevant Knowledge Base (KB) article in real-time. This feature enhances agent efficiency by providing contextually appropriate KB articles, helping agents resolve issues faster and ensuring accurate, timely information for customer interactions
Key Benefits
Real-time query resolution: Leverages Sprinklr's in-house LLM to analyze case conversations and generate relevant KB article recommendations instantly.
Enhanced agent efficiency: Reduces training time by providing agents with immediate access to relevant knowledge base articles based on the context of the conversation.
Faster customer interactions: Speeds up the process of issue resolution, decreasing the cost per contact and improving overall operational efficiency.
Contextual understanding: AI model understands the conversational context, ensuring that the generated query aligns with the case details for accurate article retrieval.
Dynamic knowledge integration: Continuously updates the knowledge base by incorporating feedback and new case information, keeping responses current and relevant.
Improved agent productivity: Reduces the time spent searching for solutions, enabling agents to focus on more complex tasks and improving overall service quality.
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Before you begin
To view the recommended articles in Agent Console and Care Console, a user must have the View permission under Knowledge Base.