Event Detection Using Inquiry Data Parsing
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Solution Overview
Problem
Property owners, particularly those busy or resource-constrained, often lack awareness of local interest in their properties for transactions such as leasing or selling, due to the need for constant monitoring of various communication channels for event-driven demand.
Innovation Solution
A system and method for automatically detecting events using electronic inquiry data, which involves parsing and analyzing inquiry data to extract key terms, locality terms, and date terms, and comparing their density to baseline noise to identify events, and subsequently notifying property owners of potential demand through electronic messages.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If property owners constantly monitor various communication channels to detect events and demand, then awareness of local interest and transaction opportunities is improved, but time consumption and resource usage increase significantly
Solution Approach 1:
The system enables automatic self-monitoring of communication channels through automated inquiry parsing, event detection, and notification mechanisms. The property owner's information needs are served automatically without requiring their active participation in monitoring activities.
Solution Approach 2:
An automated system acts as an intermediary between multiple communication channels and the property owner. This intermediary parses inquiries, detects events, determines locality, and delivers notifications, eliminating the need for the owner to directly monitor each channel.
2Productivity
If property owners manually monitor communication channels for event-driven demand, then transaction opportunities are captured, but the complexity of monitoring multiple channels increases
Solution Approach 1:
The monitoring system is segmented into distinct functional modules: inquiry parsing module, event detection module, locality determination module, and notification module. Each module handles a specific aspect of the monitoring process, reducing overall system complexity while maintaining comprehensive monitoring capability.
Solution Approach 2:
The system automatically performs all monitoring tasks without requiring owner intervention. Automated parsing, detection, and notification mechanisms handle the entire process, simplifying the owner's interaction while capturing transaction opportunities.
3Loss of information
If property owners lack automated event detection systems, then resource usage is reduced, but awareness of event-driven demand decreases
Solution Approach 1:
The system performs preliminary automated analysis of inquiries to detect events and determine locality before notifying the property owner. This preliminary action ensures that event-driven demand is identified and prepared for owner review, maintaining high awareness while managing automation levels appropriately.
Data Source
AI summary
Inquiry data from one or more sources (e.g., client devices) may be analyzed to determine if key terms, date terms, and locality terms are indicative of an event to occur at a locality during one or more dates. Events that are detected may be communicated (e.g., via an electronic message(s)). An owner of a property may receive the electronic message(s) that are communicated for detected events and the owner may act to garner interest in stays at their property. Travelers searching for a property to stay at during the event may receive the electronic message(s) in the form of an offer (e.g., an email, a text message, a Tweet, a newsletter, etc.). The inquiry data may be received in real time and/or may be accessed from a data store. The Inquiry data may be curated to remove non-essential information and/or to include edited key terms, date terms, and locality terms.