intent_classification

fhammer

Recognize user intent (order inquiries, return requests, policy questions, etc.)

E-commerce Recommendation Agent

fhammer

E-commerce intelligent shopping guide/product recommendation agent that helps users discover products and provides personalized purchase suggestions

demand_analysis

fhammer

Analyze user requirements and extract constraints such as product category, budget, brand preferences, and usage scenarios.

shopping_assistant

fhammer

Smart Shopping Assistant - a truly intelligent shopping assistant powered by LLMs

order_query

fhammer

Query order status, details, and logistics information

Policy Validation

fhammer

Validate return and exchange policies and check order eligibility

assess_risk

fhammer

Evaluate health risks based on physical examination data

demand_analysis

fhammer

Analyze user requirements and extract constraint conditions such as product category, budget, brand preferences, and usage scenarios

Parse Report

fhammer

Parse medical check-up reports, extract various test indicators and categorize them

generate_advice

fhammer

Generate personalized health advice based on physical examination data and risk assessment

product_search

fhammer

Search the product database based on requirement constraints to obtain a list of candidate products

case_creation

fhammer

Create return orders, exchange orders, and complaint tickets

recommendation_explanation

fhammer

Generate natural-language recommendation explanations that tell users why these items are recommended.