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About the Agent
The Dynamic Query Resolution Agent is a sophisticated AI tool crafted to efficiently resolve customer queries by utilizing a comprehensive approach that combines both internal knowledge bases and external integrated tools. When a customer query is received, the agent initially searches its structured knowledge base to provide quick answers to repetitive or routine issues. This allows it to address common questions with speed and accuracy, minimizing the wait time for customers and freeing up resources. However, if a query requires more detailed information or context not readily available in its internal knowledge base, the agent seamlessly expands its search, tapping into interconnected systems and tools within the enterprise infrastructure to gather the necessary data. This dynamic capability ensures that the agent can deliver precise and thorough responses, regardless of the complexity of the query presented.
Incorporating the Dynamic Query Resolution Agent into customer support processes significantly enhances operational efficiency and response effectiveness. The agent reduces the reliance on manual interventions, allowing customer support professionals to focus their expertise on addressing more complex issues, thereby improving overall departmental productivity. Its ability to provide timely and contextually relevant responses not only elevates the customer experience but also strengthens the support team's ability to maintain a high standard of service. By optimizing the handling of customer queries, the agent plays a crucial role in alleviating pressure on support staff, improving workflow, and ultimately contributing to enhanced user satisfaction across the board.
Accuracy
TBD
Speed
TBD
Input Data Set
Sample of data set required for Dynamic Query Resolution Agent:
These are the natural language queries that customers might ask the Dynamic Query Resolution Agent
| Query Number | Query |
|---|---|
| 1 | "What are the features of the NovaPhone X?" |
| 2 | "What is the delivery date for my order #12345?" |
| 3 | "What is the status and estimated delivery date for order #98765?" |
| 4 | "What is the status of order #invalid123?" |
Deliverable Example
Sample output delivered by the Dynamic Query Resolution Agent:
| Query Number | Query | Output Process | Answer |
|---|---|---|---|
| 1 | "What are the features of the NovaPhone X?" | { "query": "What are the features of the NovaPhone X?", "knowledge_base_check": true, "found_in_knowledge_base": true, "answer_source": "knowledge_base", "answer": "The NovaPhone X features a 6.7-inch OLED display, a 108MP camera, and a powerful octa-core processor." } |
The NovaPhone X features a 6.7-inch OLED display, a 108MP camera, and a powerful octa-core processor. |
| 2 | "What is the delivery date for my order #12345?" | { "query": "What is the delivery date for my order #12345?", "knowledge_base_check": true, "found_in_knowledge_base": false, "tool_usage_required": true, "tool_used": "order_management_system", "tool_query": { "query_type": "get_order_details", "order_id": "12345" }, "tool_response": { "order_id": "12345", "items": [{"product": "NovaPhone X", "quantity": 1}], "order_date": "2023-10-26", "delivery_date": "2023-10-30", "status": "Shipped" }, "answer_source": "tool", "answer": "The estimated delivery date for your order #12345 is October 30, 2023." } |
The estimated delivery date for your order #12345 is October 30, 2023. |
| 3 | "What is the status and estimated delivery date for order #98765?" | { "query": "What is the status and estimated delivery date for order #98765?", "knowledge_base_check": true, "found_in_knowledge_base": false, "tool_usage_required": true, "tool_used": "order_management_system", "tool_query": { "query_type": "get_order_details", "order_id": "98765" }, "tool_response": { "order_id": "98765", "items": [{"product": "NovaBuds Pro", "quantity": 1}], "order_date": "2023-10-24", "delivery_date": "2023-10-28", "status": "Shipped" }, "answer_source": "tool", "answer": "The status of your order #98765 is Shipped, and the estimated delivery date is October 28, 2023." } |
The status of your order #98765 is Shipped, and the estimated delivery date is October 28, 2023. |
| 4 | "What is the status of order #invalid123?" | { "query": "What is the status of order #invalid123?", "knowledge_base_check": true, "found_in_knowledge_base": false, "tool_usage_required": true, "tool_used": "order_management_system", "tool_query": { "query_type": "get_order_details", "order_id": "invalid123" }, "tool_response": null, "tool_error": "Order ID 'invalid123' not found.", "answer_found": false, "reason": "Order with ID 'invalid123' not found in the system." } |
Order with ID 'invalid123' not found in the system. |
Customer Support Email Responder Agent
Monitors the email inbox for customer queries, retrieves answers from the knowledge base, sends replies, or creates tickets for unresolved queries.
Post-Service Survey Agent
Automatically sends customized post-service surveys based on the specific service received.
Service Inquiry Follow-Up Agent
Sends customized follow-up messages to customers after service inquiries, tailored to the specific inquiry type.
Resolution Status Agent
Tracks and updates customers on the resolution status of their complaints, ensuring transparency and timely updates.
Next Step Suggestion Agent
Provides recommended next steps for each support ticket based on ticket type, history, and predefined resolution procedures.
Knowledge Gap Analysis Agent
Identifies recurring support issues missing from the knowledge base, highlighting areas for documentation updates.
