Restaurant Capacity Analysis via Historical Transaction Data Matching
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Solution Overview
Problem
Consumers face uncertainty in determining restaurant capacity levels, relying on unreliable personal experiences and anecdotal advice, as existing methods lack accuracy and efficiency in assessing occupancy rates without real-time merchant input.
Innovation Solution
A capacity analysis computing device processes historical transaction data to identify a restaurant's maximum capacity and determines current occupancy levels by matching selected time intervals with similar historical periods, providing accurate capacity information without requiring real-time input from merchants.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If real-time capacity monitoring systems are implemented at restaurants, then measurement precision of capacity levels is improved, but device complexity and infrastructure requirements increase
Solution Approach 1:
The patent uses historical transaction data as a copy or proxy for real-time capacity information. Instead of implementing complex real-time monitoring infrastructure at restaurants, the system creates capacity level estimates by analyzing patterns in historical transaction data, effectively copying past behavior to infer current state without direct real-time measurement.
Solution Approach 2:
The patent replaces the mechanical/physical system of real-time sensors and monitoring equipment at restaurants with a data processing system that analyzes transaction records. This substitutes physical infrastructure with computational analysis, eliminating the need for complex hardware while maintaining capacity assessment functionality.
2Reliability
If real-time capacity monitoring infrastructure is deployed at restaurants, then reliability of capacity information is improved, but the loss of time for system implementation and maintenance increases
Solution Approach 1:
The patent performs preliminary analysis by collecting and processing historical transaction data in advance. The system pre-processes this data to establish baseline capacity patterns and relationships, so that when capacity information is needed, the analysis is already complete and can be quickly applied without requiring new infrastructure deployment at the restaurant.
3Ease of operation
If traditional anecdotal methods are used to estimate restaurant capacity, then ease of operation is maintained, but measurement precision and reliability deteriorate
Solution Approach 1:
The patent enables the system to self-generate capacity information by automatically analyzing transaction data without requiring manual input from restaurant staff or consumers. The system serves itself by processing available data records to produce capacity estimates, eliminating the need for human observation while maintaining operational simplicity for end users who receive ready-made capacity information.
Data Source
AI summary
A capacity analysis computing device for determining a restaurant capacity level is provided. The capacity analysis computing device is configured to store historical transaction data for a restaurant for a period of time, and analyze the historical transaction data to identify a maximum restaurant capacity for the restaurant over the period of time. The capacity analysis computing device is also configured to receive, from a user computing, a selected time interval for which a current capacity level is to be determined. The capacity analysis computing device is further configured to identify a similar historical time interval to the selected time interval, and determine a historical capacity level for the restaurant during the similar historical time interval. The capacity analysis computing device is further configured to assign the historical capacity level as the current capacity level for the restaurant, and display the current capacity level on the user computing device.