Dynamic Restaurant Booking Allocation System
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Solution Overview
Problem
Current online restaurant booking systems fail to dynamically optimize space and time allocation, leading to inefficiencies such as unused space, fixed table allocations, and inability to adjust capacity according to varying customer demands, resulting in suboptimal revenue management and customer experience.
Innovation Solution
A computing system that uses a decision tree logic structure to dynamically allocate bookings based on spatial awareness, allowing for the addition or removal of tables, prioritization of bookings, and flexible seating periods, while considering customer preferences and restaurant constraints to optimize both quantitative and qualitative outcomes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If fixed table allocations are used in traditional booking systems, then operational simplicity is maintained, but space utilization efficiency deteriorates due to unused space and inability to adapt to varying customer demands
Solution Approach 1:
The patent implements dynamic table allocation that adapts to varying customer demands in real-time. The system allows tables to be added, removed, or reconfigured based on current booking patterns and space availability, transforming the static fixed allocation into a dynamic system that optimizes space utilization efficiency while responding to changing operational conditions
Solution Approach 2:
The system changes key parameters such as table capacity, allocation priorities, and seating configurations based on demand fluctuations. By dynamically adjusting these parameters rather than maintaining fixed values, the system achieves improved space utilization without requiring complex manual intervention, as the changes are automated through the booking system
2Productivity
If traditional booking systems allocate tables without dynamic optimization, then system simplicity is maintained, but revenue management deteriorates due to suboptimal capacity utilization
Solution Approach 1:
The system performs self-optimization by automatically analyzing booking patterns, space availability, and revenue potential to make allocation decisions. This self-service capability allows the system to improve revenue management efficiency without requiring complex manual operations, as the optimization is executed autonomously based on predefined criteria and real-time data
3Adaptability or versatility
If static table allocations are used, then operational simplicity is maintained, but customer experience deteriorates due to inability to provide personalized seating and flexible booking options
Solution Approach 1:
The patent segments the dining space into multiple configurable zones and table types with different characteristics. This segmentation allows the system to offer personalized seating options and flexible booking configurations for different customer preferences while maintaining operational simplicity through automated management of the segmented structure
Data Source
AI summary
In one aspect, the present invention provides a computing system for effecting an optimised condition for one or more booking requests in a venue having one or more spaces, comprising an allocation module executing on a processor and arranged to retrieve the booking requests from a database containing a plurality of booking requests, the booking requests including requestor constraint information regarding one or more constraints provided by the booking requestor including a predefined service period, and retrieve venue constraint information from a database, the venue constraint information including venue spatial information and furniture spatial information, wherein the allocation module executes an allocation algorithm that utilises the booking information and the venue constraint information to assess the capacity of the one or more venues and allocate a portion of space for each booking request to satisfy the optimised condition utilising the assessment, to derive an optimised allocation instruction set.