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How to achieve quantifiable improvements in AI work order processing efficiency in customer support scenarios?

2025-08-22 619
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The three modules of nexos.ai work in tandem to enable the escalation of work order processing:

  1. Automatic summary generation: Customize the prompt template (e.g., "Summarize the core issue of the work order in three points") in [Workspace], shortening the reading time by an average of 70%.
  2. Intelligent Knowledge Retrieval: After connecting to the enterprise CRM system, the work order number is entered to automatically associate the history and solution library.
  3. Closed loop quality control: Set up AI to automatically compare the consistency of customer service responses with knowledge base content, flagging responses that may be in error.

Effectiveness verification: Customer cases show that by combining GPT-4's work order pre-processing + Claude's real-time assistance, the average customer service processing time has been reduced from 8 minutes to 2.5 minutes, and the one-time resolution rate has been increased from 68% to 89%. It is recommended to track the optimization effect through the indicators of 'resolution time' and 'transfer to manual rate' in the panel of [Monitor] on a monthly basis. It is recommended to track the optimization effect through the 'resolution length' and 'transfer rate' indicators in the [Monitor] panel every month.

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