by Internal Labs
0
Agent Template
<100
Summary
Summary
The Product Recommendation Agent provides curated product suggestions tailored to customer preferences and constraints.
Overview
Overview
The Product Recommendation Agent is designed to address the challenge of finding the most suitable products for customers based on their specific preferences and constraints. In a world where customers are often overwhelmed by the sheer number of product options available, this agent simplifies the decision-making process by narrowing down choices to the most relevant ones. It ensures that customers receive recommendations that align closely with their needs, saving time and enhancing satisfaction.
To solve this problem, the agent uses a structured approach to analyze customer preferences and product contexts. It identifies the top three products that best match the customer's requirements, categorizing them as Perfect Match, Strong Match, or Close Alternative. Each recommendation is accompanied by a detailed explanation of why it fits the customer's needs, including specific attributes such as price, features, and brand. If no products fully meet the preferences, the agent provides close alternatives with justifications, ensuring that customers always have viable options to consider.
The Product Recommendation Agent leverages UiPath Context Grounding relevant product information. A real product database can continually be synced to query against. This database is configured to return up to three results based on a threshold and retrieval mode, ensuring high-quality matches. The agent's output schema is designed to include detailed product attributes, reasoning for recommendations, and alternative suggestions, making it a comprehensive tool for personalized product discovery.
How to use
Features
Features
Technical
Version
1.0.5Updated
May 14, 2025Certification
Silver Certified
Collections
Support
UiPath Community Support