Marketplace - Hotel Matcher Agent

RAG based adaptable AI agent for matching Hotels entity. Uses OP Intelligence - Partner connector to create embeddings & OP Database - Partner connector to do cosine similarity search from the knowledgebase and then ask AI to suggest best matched Hotel records

Solution Details

Difficulty Level
BEGINNER
Solution Type
Designer Agent Accelerator
Author
OnePoint
Published on
Jan 13, 2026
Last updated on
Jan 21, 2026

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How it works

Features:

  • RAG brings deep contextual awareness by combining search results with generative summaries.
  • Vector Search ensures the agent understands what you mean, not just what you type.
  • No SQL, no rigid filters — just natural, fuzzy, flexible inputs.

Business use-cases:

Hotel Matching for Travel & Hospitality

  • Scenario: A user searches for “Holi day In near Hithrow Terminal 1”
  • Outcome: AI corrects the input, understands intent, and returns the most relevant hotel entry from the knowledgebase
  • Business Value: Enhances customer experience in travel booking apps by handling fuzzy queries gracefully

Supplier Matching in Procurement

  • Scenario: A buyer types “Global Supplys LLC near Pune”
  • Outcome: The AI matches this to the correct supplier, even with misspellings or incomplete info
  • Business Value: Speeds up vendor lookup, improves onboarding, and reduces manual cleanup

Product Identification in E-commerce

  • Scenario: A user asks for “black iPhone 14 with 256GB”
  • Outcome: Agent finds the best product match based on semantic similarity with catalog data
  • Business Value: Powers natural-language product discovery, reducing drop-offs and boosting conversions

Customer Profile Lookup in CRM

  • Scenario: A support team member queries “Jon Doe from San Fracisco, smartwatch buyer”
  • Outcome: AI retrieves the right customer profile, pulling related details from CRM and support notes
  • Business Value: Speeds up customer support and helps in context-aware engagement

Talent Search in HR Platforms

  • Scenario: Recruiter searches “DevOps engineer, AWS Certified, Pune”
  • Outcome: Agent fetches the closest matching resumes from internal talent pools
  • Business Value: Enhances hiring workflows by understanding role semantics beyond simple filters

Address Disambiguation for Multi-Location Entities

  • Scenario: A user asks for “Kings Cross Apartment address”
  • Outcome: AI identifies multiple valid matches and displays all relevant locations
  • Business Value: Eliminates confusion in logistics, check-ins, or delivery systems

This adaptable AI Agent can match any business entity: Hotels, Suppliers, Products, Customers & More

Video Link (Here)

Verified Partner/Vendor Supported: This accelerator is fully supported and managed by the Partner/Vendor. For any support related inquiries or assistance including troubleshooting, guidance and/or updates to the solution, please contact the Partner/Vendor directly.

This agent requires access to the Boomi Agent studio, which releases on May 24th, 2025. It can be used if you have early access to the Agent studio enabled.

Applications Required

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