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CASE STUDY

Accelerating Case Resolution with Einstein Knowledge Article Recommendation

Call agents handling cases in Service Cloud frequently struggle to locate the most relevant knowledge articles during live customer interactions. Manually searching through the knowledge base using keywords requires time, judgment, and review of multiple articles before identifying the correct solution. In high-volume support environments, delays in accessing the right information directly impact SLA performance and customer satisfaction. 

AblyPro implemented Einstein Knowledge Article Recommendation within Salesforce Service Cloud, as an Employee Agent capability to automatically surface relevant knowledge articles directly within the Case record. The solution enabled machine-learning-driven article recommendations based on case subject, description, and historical resolution patterns. 

Key Results

  • Reduced Search Time 
  • Improved Resolution Consistency 
  • Increased First-Contact Resolution 
  • Enhanced Agent Productivity 
  • Stronger Knowledge Utilization 
  • Better Customer Experience  

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