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Product Recommendation Agent

Applies item-item collaborative filtering on 800K+ historical valuations to identify similar properties and their outcomes. Uses Bayesian confidence scoring to calculate acceptance likelihood for each product type, then optimizes for cost-benefit tradeoffs.

Agent ID
product-recommender
Sector Mortgage Banking & Real Estate Finance
Status
Operational

Problem Statement

The challenge addressed

Selecting between Desktop, Hybrid, and Full Appraisals requires balancing cost, turnaround, and acceptance risk based on property characteristics.

Core Logic

How the agent solves it

Applies item-item collaborative filtering on 800K+ historical valuations to identify similar properties and their outcomes. Uses Bayesian confidence scoring to calculate acceptance likelihood for each...